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• Enhancing real-time heading estimation for pedestrian navigation via deep learning and smartphone embedded sensors.
  The accurate smartphone-based pedestrian navigation significantly depends on the precise heading estimation. However, heading estimation is still a challenging problem in most pedestrian navigation applications because of the bias of low-cost smartphone sensor…
  pubmed Ye J, Mansour A, Huang F 2025 Aug 28 置信度 0.82
• A Degradable Bioinspired Flier with Aerogel-Based Colorimetric Sensors for Environmental Monitoring.
  Environmental and distributed monitoring of remote, inaccessible, or polluted areas requires low-maintenance and sustainable solutions. Passive dispersal strategies with (bio)degradable fliers, inspired by plant anemochory, offer an eco-friendly approach to de…
  pubmed Gallo G, Tu R, Filippeschi C, Mariani S 等 2026 Mar 置信度 0.82
• Impact of tirzepatide treatment on participant-reported food craving and food preference: Secondary analyses of a phase 1 randomised controlled trial in people with obesity with dietary restriction.
  pubmed Kennedy SF, Knights A, Ravussin E, Sanchez-Delgado G 等 2025 Nov 置信度 0.82
• UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton.
  Nitrogen plays a pivotal role in determining cotton yield and fiber quality. Nevertheless, because high-dimensional remote-sensing data are inherently complex and redundant, accurately estimating cotton plant nitrogen concentration (PNC) from unmanned aerial v…
  pubmed Li F, Zhao C, Ma Y, Lv N 等 2025 置信度 0.82
• Drone methods and educational resources for plant science and agriculture.
  Technological advances have made drones (UAVs) increasingly important tools for the collection of trait data in plant science. Many costs for the analysis of plant populations have dropped precipitously in recent decades, particularly for genetic sequencing. S…
  pubmed Parker TA, Celebioglu B, Watson M, Gepts P 2025 置信度 0.82
• Enhanced plant disease classification with attention-based convolutional neural network using squeeze and excitation mechanism.
  Technology is becoming essential in agriculture, especially with the growth of smart devices and edge computing. These tools help boost productivity by automating tasks and allowing real-time analysis on devices with limited memory and resources. However, many…
  pubmed Karthikeyan S, Charan R, Narayanan S, Jani Anbarasi L 2025 置信度 0.82
• Research on Crop Classification Using U-Net Integrated with Multimodal Remote Sensing Temporal Features.
  Crop classification plays a vital role in acquiring the spatial distribution of agricultural crops, enhancing agricultural management efficiency, and ensuring food security. With the continuous advancement of remote sensing technologies, achieving efficient an…
  pubmed Zhu Z, Chen Y, Lu C, Yang M 等 2025 Aug 13 置信度 0.82
• Evaluation of energy and nutrient utilization for corn, barley, and wheat bran in primiparous and multiparous sows during the gestation, lactation, and post-weaning period.
  Despite extensive research focusing on feed ingredients for growing pigs, limited studies have systematically evaluated the effect of physiological stage and parity on feed ingredient utilization in sows. This study aimed to evaluate the energy and nutrient ut…
  pubmed Wei Z, Xu L, Yang J, Bi Q 等 2025 Jan 4 置信度 0.82
• Effect of support arrangements on 3D printing denture accuracy: An in vitro study.
  Supports are essential for ensuring dimensional accuracy in 3D printing; however, an excessive number of supports compromises printing efficiency. This study aimed to investigate how a varying number of support arrangements affects the precision and trueness o…
  pubmed Kim JE, Kim H, Hwang JA, Moon HK 等 2026 Jan 16 置信度 0.82
• Development and Validation of LC-MS/MS and IC-HRMS Methods for Highly Polar Pesticide Detection in Honeybees: A Multicenter Study for the Determination of Pesticides in Honeybees to Support Pollinators and Environmental Protection.
  The widespread use of agrochemicals raises concerns about environmental impacts, particularly on pollinators, such as bees, which serve as bioindicators of contamination. Developing methods to assess contamination risks in bioindicators supports regulatory fra…
  pubmed Pacini T, Verdini E, Orsini S, Russo K 等 2025 Jun 20 置信度 0.82
• A DNA Adsorption-Based Biosensor for Rapid Detection of Ratoon Stunting Disease in Sugarcane.
  Early and accurate detection of plant diseases is critical for ensuring global food security and agricultural resilience. Ratoon stunting disease (RSD), caused by the bacterium Leifsonia xyli subsp. xyli ( Lxx ), is among the most economically significant dise…
  pubmed Chakraborty M, Bhuiyan SA, Strachan S, Shiddiky MJA 等 2025 Aug 8 置信度 0.82
• YOLOv11-AIU: a lightweight detection model for the grading detection of early blight disease in tomatoes.
  Tomato early blight, caused by Alternaria solani, poses a significant threat to crop yields. Existing detection methods often struggle to accurately identify small or multi-scale lesions, particularly in early stages when symptoms exhibit low contrast and only…
  pubmed Tang X, Sun Z, Yang L, Chen Q 等 2025 Aug 25 置信度 0.82
• Cytosine base editor-mediated high-efficiency myostatin editing in Hu sheep.
  The cytosine base editor (CBE) enables precise C-to-T substitution without inducing DNA double-strand breaks, which offering a promising tool for editing livestock genomes to enhance economically valuable traits. In this study, using Hu sheep, characterized by…
  pubmed Wang Y, Liu WJ, Meng CH, Wang HL 等 2025 Aug 27 置信度 0.82
• Polyphenol-Based Functional Materials: Structural Insights, Composite Strategies, and Biomedical Applications.
  Polyphenols hold significant promise in pharmaceutical, biotechnology, and food-related applications owing to their potent free radical scavenging, antimicrobial, antitumor, and other properties. The unique chemical architecture, featuring multiple phenolic hy…
  pubmed Xue S, Tan W, Mao S, Pan H 等 2025 Oct 置信度 0.82
• Probiotics restore enteric HDL3 secretion and improve prognosis in patients with end-stage renal disease.
  Randomized double-blind trials have shown that probiotic mixtures significantly increase high-density lipoprotein (HDL) levels and reduce the risk of cardiovascular disease mortality in end-stage renal disease (ESRD) patients. Meta-analysis with prospective co…
  pubmed Liu X, Huang Y, Li Y, Chen J 等 2025 Aug 置信度 0.82
• Enhancing quality and climate resilient traits in vegetatively propagated polyploids: transgenic and genome editing advancements, challenges and future directions.
  Vegetatively propagated polyploid crops such as potato, strawberry, sugarcane, and banana play a crucial role in global agriculture by meeting essential nutritional and food demands. The quality of the economically important traits in these crops is significan…
  pubmed Sakthivel SK, Vennapusa AR, Melmaiee K 2025 置信度 0.82
• Organic-Dominated Nanozymes for Pesticide Detection: Toward Sustainable Agricultural Monitoring.
  Nanozymes are synthetic enzymes that mimic natural enzymes with superior stability and cost-efficiency. Organic-dominated nanozymes overcome key limitations of inorganic variants, such as toxicity and environmental persistence, by offering biocompatible altern…
  pubmed Hamed EM, Kustomo K, ElSaady MM, Wu X 等 2025 Oct 15 置信度 0.82
• Bioinspired prussian blue nanopesticides with triple-stimuli-responsive gates for ecology-adaptive pest management.
  The escalating complexity of pest dynamics, characterized by intensifying seasonal pressures and unpredictable acute outbreaks, necessitates advanced agrochemicals capable of dynamically adapting to ecological rhythms. Inspired by the dual-phase biocontrol str…
  pubmed Teng G, Hong B, Ma X, Li D 等 2025 Oct 10 置信度 0.82
• A maturity classification model for winter jujubes based on DSAF-ResNet.
  Accurate, non-destructive classification of winter jujube maturity is critical for quality control and intelligent harvesting. This study proposes a dual-stream attention-fused residual network (DSAF-ResNet) combining hyperspectral and GLCM-based texture featu…
  pubmed Song Y, Liu A, Meng X, Liu Z 等 2025 Aug 25 置信度 0.82
• On-device AI for climate-resilient farming with intelligent crop yield prediction using lightweight models on smart agricultural devices.
  In Recent time, with the utilization of Artificial Intelligence (AI), AI applications have proliferated across various domains where agricultural consumer electronics are no exception. These innovations have significantly enhanced the intelligence of agricultu…
  pubmed Dhanaraj RK, Maragatharajan M, Sureshkumar A, Balakannan SP 2025 置信度 0.82
• An entropy weighting-based index model for rapid assessment of agricultural non-point source pollution potential in Jiangsu's plain river network.
  The assessment of agricultural non-point source (AGNPS) in plain river network areas has always been a challenge due to its complex water regulation and storage mechanisms. It is urgent to construct a simple and accurate method for assessing AGNPS pollution in…
  pubmed Chen D, Yuan G, Li D, Huang J 等 2025 Aug 26 置信度 0.82
• Antibacterial carbon dots integrating multiple mechanisms for selective Gram-positive bacteria elimination and infected wound healing acceleration.
  The escalating prevalence of multidrug-resistant Gram-positive bacterial infections demands the development of antimicrobial agents with precise targeting and rapid bactericidal activity. In this study, ultra-small positively-charged carbon dots (PR-CDs) were …
  pubmed Fang M, Lin L, Lin L, Lin Y 等 2025 Sep 17 置信度 0.82
• Quantitative Analysis and Simultaneous Characterization of Triterpenoids and Phenolics in Inonotus obliquus (Chaga) Using LC-PDA-ELSD and LC-DAD-QToF.
  Inonotus obliquus is widely recognized as the Chaga mushroom. Chaga contains various bioactive compounds, including polysaccharides, triterpenoids, polyphenols, and melanin. To address the characterization and quantitative analysis of triterpenoids and phenoli…
  pubmed Avula B, Katragunta K, Tatapudi KK, Khan IA 2026 Apr 置信度 0.82
• Microbiome and cardiovascular health unexplored frontiers in precision cardiology: a narrative review.
  Gut microbiota has a symbiotic relationship with their host. It is known that the gut microbiome has the potential to affect the host and vice versa. Cardiovascular disease and its comorbidities are the leading cause of death worldwide. Patients with various h…
  pubmed Nebieridze A, Abu-Bakr A, Nazir A, Ghosson A 等 2025 Jul 置信度 0.82
• Deep learning-driven IoT solution for smart tomato farming.
  The rising food demand and challenges with respect to the climate have made precision agriculture (PA) vital for sustainable crop production. This study presents an IoT-based smart greenhouse platform tailored for tomato farming, integrating environmental sens…
  pubmed Saxena A, Agarwal A, Nagrath B, Jayavanth CS 等 2025 置信度 0.82
• Wearable device-based interventions in heat-exposed outdoor workers - a scoping review and an explanatory intervention model.
  Global climate change poses a challenge to the health prevention of heat-exposed outdoor workers. Interventions with mobile or wearable devices monitoring physiological and environmental parameters may be one solution to maintain and promote their health. Base…
  pubmed Friedrich J, Schick TS, Mess F, Blaschke S 2025 Aug 22 置信度 0.82
• Identification of soil texture and color using machine learning algorithms and satellite imagery.
  The demand for high-quality and cost-effective soil information is increasing due to its importance in land-use planning and precision agriculture. This study aimed to estimate soil texture and color using satellite imagery as input variables for support vecto…
  pubmed Wang J 2025 Aug 22 置信度 0.82
• Interlaboratory validation of an optimized protocol for measuring α-amylase activity by the INFOGEST international research network.
  The activity of α-amylases is frequently determined using a single-point assay at 20 °C. Previous work within INFOGEST "Working Group 5 - Starch digestion and amylases" identified significant interlaboratory variation with this protocol. The cu…
  pubmed Freitas D, Gwala S, Henry G, Lazaridou A 等 2025 Aug 23 置信度 0.82
• Development and validation of a predictive model for new HIV infection screening among persons 15 years and above in primary healthcare settings in Kenya: a study protocol.
  This study seeks to determine incidence, comorbidities and drivers for new HIV infections to develop, test and validate a risk prediction model for screening for new cases of HIV.
  pubmed Olwendo AO, Kikuvi G, Karanja S 2025 Aug 22 置信度 0.82
• Detection of weeds in teff crops using deep learning and UAV imagery for precision herbicide application.
  In Ethiopia, Teff is a vital staple crop, yet its productivity is significantly challenges due to inefficient weed and fertilizer management, threatening food security. Traditional weed control methods rely on manual labor and the indiscriminate application of…
  pubmed Kebede AS, Muluneh TW, Adege AB 2025 Aug 21 置信度 0.82
• A lightweight and explainable CNN model for empowering plant disease diagnosis.
  Crop disease is a significant challenge in agriculture, requiring quick and precise detection to safeguard yields and reduce economic losses. Traditional diagnostic methods are slow, labor-intensive, and rely on expert knowledge, limiting scalability for large…
  pubmed Pal C, Karmakar S, Mukherjee I, Chakrabarti PP 2025 Aug 21 置信度 0.82
• The emerging role of milk-derived extracellular vesicles in gut pathology and cancer management.
  Milk extracellular vesicles (mEVs) are emerging as important mediators in gut pathology and cancer management. These stable nanoscale vesicles contain bioactive cargos including microRNAs, proteins, and lipids that facilitate intercellular communication and of…
  pubmed Li Y, Khan MZ, Wang C, Ma Q 2026 置信度 0.82
• CropPhenoX: high-throughput automatic extraction system for wheat seedling phenotypic traits based on software and hardware collaboration.
  Accurately quantifying wheat seedling phenotypic traits is crucial for genetic breeding and the development of smart agriculture. However, existing phenotypic extraction methods are difficult to meet the needs of high-throughput and high-precision detection in…
  pubmed Wang J, Yang B, Wang P, Chen R 等 2025 置信度 0.82
• Nir spectroscopy for decision-making in the livestock sector: A technological breakthrough.
  The agri-food sector is undergoing a significant transformation to meet the increasing global demand for food while ensuring sustainability and economic viability. Livestock production plays a crucial role in food security and rural development, but growing co…
  pubmed Entrenas JA, Torres-Rodríguez I, Pérez-Marín D 2025 置信度 0.82
• Emerging research insights and future perspectives on the advancement of eccDNA: A comprehensive review.
  Extrachromosomal circular DNA (eccDNA) is a class of chromosome-independent circular DNA molecules found in diverse organisms, including plants, animals, and microorganisms. Recent research has highlighted its roles in gene regulation, genome stability, and di…
  pubmed Qi K, Liu Z, Amevor FK, Xu D 等 2025 Nov 置信度 0.82
• Advances in Nanotechnology for Targeted Drug Delivery in Alzheimer's Disease.
  Alzheimer's Disease (AD) is a complex neurodegenerative disorder characterized by progressive cognitive decline and hallmark pathological features, such as amyloid-beta plaques and tau protein tangles. Despite substantial research, current therapeutic strategi…
  pubmed Maheshwari S, Kumar P, Dwivedi V, Mishra A 等 2025 Aug 18 置信度 0.82
• Invited review: Using data from sensors and other precision farming technologies to enhance the sustainability of dairy cattle breeding programs.
  The increased uptake of sensor technologies and precision farming tools for the dairy cattle sector is enabling real-time monitoring of animal health, welfare, and productivity. These digital advancements provide high-frequency, objective, and large-scale phen…
  pubmed Brito LF, Heringstad B, Klaas IC, Schodl K 等 2025 Oct 置信度 0.82
• Genes and genetics belong to maize haploid induction.
  Maize ( Zea mays L.) is a globally significant cereal crop with diverse food, feed, and industry uses. The rapid development of homozygous inbred lines via double haploid (DH) technology has revolutionized maize breeding, reducing the time and cost required fo…
  pubmed Khammona K, Dermail A, Chen YR, Lübberstedt T 等 2025 置信度 0.82
• AI-MedLeafX: a large-scale computer vision dataset for medicinal plant diagnosis.
  This study presents a large, meticulously curated and manually validated dataset aimed at classifying leaf quality into five critical categories: Healthy, Bacterial Spot, Shot Hole, Yellow, and Powdery Mildew. The dataset encompasses four distinct plant specie…
  pubmed Ferdous MF, Nissan FBK, Nibir NM, Bijoy MHI 2025 Oct 置信度 0.82
• Evaluation of standardized ileal digestibility of amino acids in corn, barley, wheat bran fed to primiparous sows during gestation, lactation, and post-weaning period.
  This study determined the apparent ileal digestibility (AID) and standardized ileal digestibility (SID) of crude protein (CP) and amino acids (AA) of corn, barley, and wheat bran in primiparous sows. Four physiological stages of primiparous sows were examined:…
  pubmed Wei Z, Xu L, Yang J, Schroyen M 等 2025 Jan 4 置信度 0.82
• Medicine Dropper-Assisted Solvent Bar Micro-Extraction (SBME) of Imidacloprid Pesticide From Fruit Samples Utilizing a Facemask's Meltdown Layer as a Holder of a Deep Eutectic Extraction Solvent.
  In response to an emerging need for the development of advanced analytical methods to guarantee food quality and safety, this study presents a novel medicine dropper-assisted SBME (MD-SBME) that was developed. The technique uses a meltdown layer of a facemask …
  pubmed Musarurwa H, Tavengwa NT, Mokgehle TM, Madala NE 等 2025 Dec 置信度 0.82
• Slim-sugarcane: a lightweight and high-precision method for sugarcane node detection and edge deployment in natural environments.
  Accurate detection of sugarcane nodes in complex field environments is a critical prerequisite for intelligent seed cutting and automated planting. However, existing detection methods often suffer from large model sizes and suboptimal performance, limiting the…
  pubmed Wei L, Wang S, Liang X, Du D 等 2025 置信度 0.82
• Enhancing leaf disease classification using GAT-GCN hybrid model.
  Agriculture plays a critical role in the global economy, providing livelihoods and ensuring food security for billions. Progress in agricultural techniques has helped boost crop yield, along with a growing need for precise disease monitoring solutions. This re…
  pubmed Sundhar S, Sharma R, Maheshwari P, Kumar SR 等 2025 置信度 0.82
• A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis.
  The tilt angle of sunflower flower heads is an important phenotypic characteristic that influences their growth and development, as well as the efficiency of mechanised harvesting in precision agriculture. Addressing the issues of low accuracy, high cost, and …
  pubmed Wang Q, Li K, Gao Z, Wei X 等 2025 置信度 0.82
• Assessment of pesticide contamination and related ecotoxicological risks in soils of the Loukkos area (Larache, Morocco).
  The intensive use of pesticides in the province of Larache results in soil contamination, which negatively impacts microbial communities and non-target organisms, including key soil species such as earthworms. The present study is the first in the region to co…
  pubmed Bagayou A, Hamdache A, Diane Y, Ezziyyani M 2025 Nov 置信度 0.82
• Iodine-starch chromogenic nanoplatforms for photothermal precision and IDO-mediated colorectal cancer therapy.
  Colorectal cancer (CRC) remains a significant global health challenge, as current treatments such as surgery and chemotherapy are limited by poor precision, severe side effects, and the complex tumor microenvironment. Photothermal therapy (PTT) offers a promis…
  pubmed Babu A, Chahal S, Padmanaban S, Mohanty A 等 2025 Sep 置信度 0.82
• LevelWAN: a cost-effective, open-source IoT system for water level monitoring in highly dynamic aquatic environments.
  The deployment of low-cost network sensors (LCNS) for environmental monitoring has become increasingly prevalent in recent years, offering a cost-effective solution for enhancing spatial sensor coverage while minimizing financial constraints. This study presen…
  pubmed Cherif I, Cherqui F, Perret F, Bourjaillat B 等 2025 Sep 置信度 0.82
• BiSeNeXt: a yam leaf and disease segmentation method based on an improved BiSeNetV2 in complex scenes.
  Yam is an important medicinal and edible crop, but its quality and yield are greatly affected by leaf diseases. Currently, research on yam leaf disease segmentation remains unexplored. Challenges like leaf overlapping, uneven lighting and irregular disease spo…
  pubmed Lu B, Lu Y, Liang D, Yang J 2025 置信度 0.82
• Assessing leaf nitrogen concentration in rice using RGB imaging: a comparative study at leaf, canopy, and plot scales.
  Leaf nitrogen concentration (LNC) is a critical indicator for evaluating crop health and optimizing nitrogen management in sustainable agriculture. While multispectral and hyperspectral sensing techniques enable precise LNC estimation, their high cost and tech…
  pubmed Ge H, Lv G, Qin Y, Shen M 2025 置信度 0.82
• Weed mapping using UAV imagery and AI techniques: current trends and challenges.
  Despite achieving accuracy rates of over 90% in recognizing weeds in crop fields using images captured by unmanned aerial vehicles (UAVs), challenges remain with embedded systems that perform automatic weed identification in real-time. The primary objective of…
  pubmed Tosin MC, Merotto Júnior A, Sulzbach E, Scheeren I 等 2025 Dec 置信度 0.82
• Aptamer Affinity Column Extraction Coupled With Immunochromatographic Strip for the Detection of Cadmium(II).
  The presence of cadmium(II) (Cd(II)) in drinking water is a significant concern. While immunochromatographic strips often lack sensitivity for trace Cd(II) and are easily affected by coexisting ions. In this study, a specific Cd-aptamer affinity column (Cd-AAC…
  pubmed Li P, Shi J, Ji C, Xing C 等 2025 Aug 置信度 0.82
• Efficient solar-to-thermal management on femtosecond laser composite fabrication of hierarchical Janus plates.
  Photothermal conversion materials can efficiently convert solar energy into directly usable heat energy, thereby reducing carbon emissions. However, most photothermal conversion materials are complex to prepare and have a long cycle, and their photothermal per…
  pubmed Tang S, Yin K, Xiao J, Yu H 等 2025 Sep 11 置信度 0.82
• An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean.
  In major soybean-growing regions worldwide, vertical (three-dimensional) planting systems are widely adopted. Achieving precise phenotyping of individual soybean plants is crucial for breeding shade-tolerant cultivars and optimizing high yields. However, canop…
  pubmed Li X, Chen M, He S, Xu M 等 2025 Aug 20 置信度 0.82
• In Situ Plant Sensors: Toward Real-Time, High-Resolution Monitoring.
  The field of plant sensing technologies is undergoing a transformative shift, driven by innovations in both flexible wearable devices and genetically encoded sensors (GESs). From this standpoint, we emphasize their potential in real-time, in situ monitoring of…
  pubmed He T, Wang J, Chae E, Lee C 2025 Sep 26 置信度 0.82
• Exploring vegetation health in Southern Thailand under climate stress from temperature and water impacts between 2000 and 2023.
  This study provides a detailed spatiotemporal analysis of vegetation health in Southern Thailand from 2000 to 2023, focusing on the impacts of temperature and water stress on vegetation degradation. Using high-resolution Landsat-derived kernel Normalized Diffe…
  pubmed Mehmood K, Anees SA, Shahzad F, Muhammad S 等 2025 Aug 20 置信度 0.82
• Beyond application: How soil physicochemistry mediates pesticide uptake and bioaccumulation in rubber trees (Hevea brasiliensis).
  Pesticides in agriculture and forestry carries significant environmental contamination risks due to inefficient delivery. Understanding how pesticides are absorbed and accumulated in plants is crucial for optimizing their effectiveness and minimizing their env…
  pubmed Zhang S, Lu H, Wu J, Li Y 等 2025 Sep 15 置信度 0.82
• The ChickenGTEx portal: a pan-tissue catalogue of regulatory variants shaping transcriptomic and phenotypic diversity.
  A systematic dissection of the functional impacts of non-coding variations across diverse tissues and cell types is essential for deciphering the molecular architecture underlying complex traits. Given the significance of chickens as both a key livestock speci…
  pubmed Hou Y, Zou D, Chu Q, Zhan B 等 2026 Jan 6 置信度 0.82
• Dual DNAzyme-MoS(2)/GDY Catalytic Assembly Enables Smartphone-Based Multiplex Detection of Sugarcane Pokkah Boeng Pathogens at Sub-Femtomolar Levels.
  Rapid on-site detection of sugarcane pokkah boeng disease caused by Fusarium pathogens remains challenging due to the lack of portable platforms combining high sensitivity and multiplexing capability. Here, we present a self-powered biosensor integrating a dua…
  pubmed Fu B, Che R, Wang Z, Feng D 等 2025 Sep 2 置信度 0.82
• Effects of Mytilus edulis derived plasmalogens against atherosclerosis via lipid metabolism and MAPK signaling pathway.
  Mytilus edulis-derived plasmalogens (Pls) are rich in polyunsaturated fatty acids, which are reportedly effective in ameliorating cardiovascular disease. The purpose of this study was to clarify the underlying mechanisms of Pls against atherosclerosis (AS) in …
  pubmed Feng J, Zhang J, Wang S, Li Z 等 2025 Aug 18 置信度 0.82
• Edible 3D printed emulsion gels: Effects of inulin on sensory characteristics and mechanical properties.
  Inulin is a prebiotic and an effective texture modifier for emulsion gels, offering considerable commercial value for consumers whose chewing ability changes. This study evaluated the influence of inulin on print precision, structural integrity, and sensory qu…
  pubmed Liu J, Huang G, Li R, Ho CT 等 2025 置信度 0.82
• Crop yield and water productivity modeling using nonlinear growth functions.
  Growth curve modeling plays a crucial role in precision agriculture by enabling rapid analysis of plant growth dynamics. Understanding the complex mechanisms of crop growth is essential for optimizing agricultural productivity. In this study, nonlinear Logisti…
  pubmed Hajirad I, Ahmadaali K, Liaghat A 2025 Aug 17 置信度 0.82
• Development and validation of an LC-MS/MS method for a sensitive quantitation of livestock and poultry meat allergens.
  Meat allergens pose significant health risks to allergic individuals, yet highly sensitive quantification methods remain limited. In this study, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated for quantifying trac…
  pubmed Yang S, Shencheng Y, Zhao Y, Zhou M 等 2025 Nov 30 置信度 0.82
• Determining the best timing of insemination based on salivary fern pattern and its association with conception in buffalo.
  Salivary fern patterns (SFP) offer a simple, non-invasive, and cost-effective alternative to conventional estrus detection methods, addressing challenges such as silent heat, inaccurate heat detection, and improper timing of artificial insemination (AI). This …
  pubmed Pokharel A, Gautam G, Shah S, Yadav KD 等 2025 Sep 置信度 0.82
• Endometrial Gene Expression Predicts Pregnancy Outcome in Brahman Cows.
  There is a small number of studies describing the uterine biology of Bos indicus cows. We hypothesized that there is a transcriptional signature in endometrial epithelial cells 4 days after estrus (D4) that predicts the ability of the cow to remain pregnant/ar…
  pubmed Rocha CC, Silva FACC, Cavani L, Cordeiro ALL 等 2025 Aug 置信度 0.82
• Review on Omics Approaches in Aquatic Animal Nutrition: Current Status, Limitations, and Perspectives.
  This review synthesizes the research progress in applying omics to aquatic animal nutrition, highlighting their advantages as well as current limitations, and outlines future directions for development. Traditional nutritional research is often hampered by env…
  pubmed Zhang J, Li M, Meng D, Xu S 等 2025 Oct 置信度 0.82
• Taurine improves bovine oocyte maturation through recovering mitochondrial dysfunction and oxidative stress-induced apoptosis after microplastics exposure.
  Plastic is widespread in our lives, releasing various microplastics (MP) with toxicity. In recent years, the potential threat of MP on the reproductive system has aroused public concern. Numerous reports have focused on its damage to spermatogenesis. Neverthel…
  pubmed Cui Z, Zhang J, Zhang J, Zhang Y 等 2025 Oct 置信度 0.82
• Validation of a positive pressure tube ventilation system for heat abatement of outdoor preweaning dairy heifers.
  Even though dairy calves are susceptible to heat stress, they are commonly overlooked for heat abatement strategies. The objectives of this study were to examine the effectiveness of a positive pressure tube ventilation (PPTV) system adapted for preweaning dai…
  pubmed Guenther MC, Davidson BD, Savegnago CG, Halbach CE 等 2025 Oct 置信度 0.82
• Evaluating the contribution of behavioral, milking system, and environmental data to short-term milk yield prediction in commercial dairy cows using machine learning.
  The objectives of this study were 2-fold: (1) to investigate the associations among variables derived from an automatic milking system (AMS), rumination collars (SCR Heatime), and public weather stations; and (2) to assess how combinations of specific data typ…
  pubmed Hooker J, de Medeiros BB, Saha C, Abdulrahman T 等 2025 Oct 置信度 0.82
• S-palmitoylation: An oily modification guardinggenome stability.
  S-palmitoylation is a dynamic post-translational lipid modification that regulates key cellular processes. It is mediated by aspartate-histidine-histidine-cysteine-family palmitoyltransferases (PATs) and reversed by acyl-protein thioesterases (APTs). This modi…
  pubmed Zheng X, Wu X, Wang L, Ouyang H 等 2025 Sep 置信度 0.82
• DGS-Yolov7-Tiny: a lightweight pest and disease target detection model suitable for edge computing environments.
  Pest detection is vital for maintaining crop health in modern agriculture. However, traditional object detection models are often computationally intensive and complex, rendering them unsuitable for real-time applications in edge computing. To overcome this li…
  pubmed Yu P, Zong B, Geng X, Yan H 等 2025 Aug 14 置信度 0.82
• A Review of the Latest Advances in Aquaculture Nutrition Research.
  In recent decades, aquaculture has experienced a period of rapid expansion, which has had considerable ramifications for global food security, nutrition, and livelihoods. Concurrent advancements in aquaculture nutrition, in conjunction with technological innov…
  pubmed Ai C, Leng X, Luo Z, Zhou Z 等 2025 Oct 置信度 0.82
• An Ultra Lightweight Interpretable Convolution-Vision Transformer Fusion Model for Plant Disease Identification: ConViTX.
  Plant diseases have been detrimental for the agriculture industry, as they cause substantial crop loss globally. To overcome this, IoT and AI-based smart agriculture solutions are being deployed for plant disease detection. However, a diverse range of crops an…
  pubmed Thakur PS, Chaturvedi S, Seal A, Khanna P 等 2025 Jan-Feb 置信度 0.82
• Molecular Strategies to Overcome Fungal Virulence in Crop Protection.
  Fungal pathogens are major threats to global crop production, intensified by rising fungicide resistance and the limited availability of resistant cultivars. This highlight article outlines recent molecular strategies aimed at reducing fungal virulence through…
  pubmed Molina-Santiago CA, Vela-Corcía D 2025 Aug 置信度 0.82
• Image-based GWAS identifies the genetic architecture of seed-related traits in a soybean mutant population.
  Soybean [ Glycine max (L.) Merr.] seed morphology markedly influences yield, productivity, and nutritional value. However, assessing quantitative traits remains challenging due to their complexity and strong genotype-by-environment interactions. In this study,…
  pubmed Kim JM, Lee JW, Kim DJ, Lyu JI 等 2025 Aug 置信度 0.82
• A novel method for evaluating the efficacy of pharmaceuticals against the in vivo stage of Ichthyophthirius multifiliis in fish.
  This study presents a description of a novel apparatus for evaluating the efficacy of pharmaceuticals against the in vivo stage of the fish parasite Ichthyophthirius multifiliis . The apparatus comprises a transparent acrylic rectangular cuboid, a metal wire m…
  pubmed Hu GR, Zeng QW, Huang K, Zou H 等 2025 Dec 置信度 0.82
• - Invited Review - Advancing precision livestock farming: integrating artificial intelligence and emerging technologies for sustainable livestock management.
  Precision Livestock Farming (PLF) has evolved dramatically from basic monitoring systems to sophisticated artificial intelligence (AI)-driven decision support systems that enhance livestock management efficiency, sustainability, and animal welfare. This review…
  pubmed Tedeschi LO, Guarnido-Lopez P, Menendez Iii HM, Seo S 2026 置信度 0.82
• Carboxymethyl Chitosan Cinnamaldehyde Coated SilverNanocomposites for Antifungal Seed Priming in Wheat: A Dual-Action Approach Toward Sustainable Crop Protection.
  Biogenic silver nanoparticles (AgNPs) were synthesized via a green chemistry strategy using wheat extract and subsequently functionalized with a carboxymethyl chitosan-cinnamaldehyde (CMC=CIN) conjugate through covalent imine bonding. The resulting nanohybrid …
  pubmed Mondéjar-López M, García-Simarro MP, Gómez-Gómez L, Ahrazem O 等 2025 Jul 25 置信度 0.82
• A Review of Indian-Based Drones in the Agriculture Sector: Issues, Challenges, and Solutions.
  In the current era, Indian agriculture faces a significant demand for increased food production, which has led to the integration of advanced technologies to enhance efficiency and productivity. Drones have emerged as transformative tools for enhancing precisi…
  pubmed Singh R, Singh S 2025 置信度 0.82
• D1.2 Obstacles and strategies for EU Food Security and independence, and use of digital solutions
  This document outlines the policy landscape related to agricultural independence and food security, providing the foundation for subsequent NOSTRADAMUS deliverables. It examines the policies, strategies, and practices that support sustainable, resilient, and s…
  datacite Kandel, Giri Prasad, Manikas, Ioannis, Poláková, Jana, Varvaris, Ioannis 等 2025 置信度 0.66
• D1.2 Obstacles and strategies for EU Food Security and independence, and use of digital solutions
  This document outlines the policy landscape related to agricultural independence and food security, providing the foundation for subsequent NOSTRADAMUS deliverables. It examines the policies, strategies, and practices that support sustainable, resilient, and s…
  datacite Kandel, Giri Prasad, Manikas, Ioannis, Poláková, Jana, Varvaris, Ioannis 等 2025 置信度 0.66
• D1.2 Obstacles and strategies for EU Food Security and independence, and use of digital solutions
  This document's main objective is to outline the policy landscape associated with agricultural independence and food security and to serve as the basis for further project deliverables. To achieve this, the report examines the practices, policies, and strategi…
  datacite Kandel, Giri Prasad, Manikas, Ioannis, Poláková, Jana, Hamouz, Pavel 等 2025 置信度 0.66
• itsVaibhavSharma/Preprocessing-Paradox: v0.1.1
  This release corresponds to the revised submission (Major Revision) of the manuscript: "The Preprocessing Paradox: An Architecture-Aware Empirical Study of Segmentation Preprocessing Across Five Lightweight CNNs for Plant Disease Classification" Authors: Vaibh…
  datacite VAIBHAV SHARMA 2026 置信度 0.66
• itsVaibhavSharma/Preprocessing-Paradox: v0.1.1
  This release corresponds to the revised submission (Major Revision) of the manuscript: "The Preprocessing Paradox: An Architecture-Aware Empirical Study of Segmentation Preprocessing Across Five Lightweight CNNs for Plant Disease Classification" Authors: Vaibh…
  datacite VAIBHAV SHARMA 2026 置信度 0.66
• Development of a web application for analyzing the condition of plants using artificial intelligence technologies
  This paper presents the development of a web application designed for the automated assessment of plant health through image analysis utilizing artificial intelligence. The growing demand for solutions in precision agriculture motivates this development, enabl…
  datacite Brykin, Valentin 2025 置信度 0.66
• Development of a web application for analyzing the condition of plants using artificial intelligence technologies
  This paper presents the development of a web application designed for the automated assessment of plant health through image analysis utilizing artificial intelligence. The growing demand for solutions in precision agriculture motivates this development, enabl…
  datacite Brykin, Valentin 2025 置信度 0.66
• Standortspezifische Modellierung von Pflanzenwachstum, Wasser- und N-Dynamik auf der Basis hochaufgelöster Bodensensordaten
  Die Berücksichtigung von Bodenunterschieden innerhalb von Ackerschlägen bei der Bemessung von Düngergaben kann zu einer höheren Effizienz von Düngermaßnahmen führen, wenn einerseits Ertragspotentiale genutzt und andererseits Überdüngungen vermieden werden. Die…
  datacite Kersebaum, K. C., Wallor, E., Gebbers, R., Lorenz, K. 2017 置信度 0.66
• Standortspezifische Modellierung von Pflanzenwachstum, Wasser- und N-Dynamik auf der Basis hochaufgelöster Bodensensordaten
  Die Berücksichtigung von Bodenunterschieden innerhalb von Ackerschlägen bei der Bemessung von Düngergaben kann zu einer höheren Effizienz von Düngermaßnahmen führen, wenn einerseits Ertragspotentiale genutzt und andererseits Überdüngungen vermieden werden. Die…
  datacite Kersebaum, K. C., Wallor, E., Gebbers, R., Lorenz, K. 2017 置信度 0.66
• Artificial Intelligence Transformation in Precision Agriculture: A Review of Applications and Sustainability
  Abstract Agriculture, as a fundamental pillar of global food security, faces challenges such as climate change, limited water and soil resources, and increasing food demand due to population growth. According to the Food and Agriculture Organization (FAO, 2025…
  datacite Mohammad Karen Shokrollahi¹, Zahra Takmar¹ 2025 置信度 0.66
• Artificial Intelligence Transformation in Precision Agriculture: A Review of Applications and Sustainability
  Abstract Agriculture, as a fundamental pillar of global food security, faces challenges such as climate change, limited water and soil resources, and increasing food demand due to population growth. According to the Food and Agriculture Organization (FAO, 2025…
  datacite Mohammad Karen Shokrollahi¹, Zahra Takmar¹ 2025 置信度 0.66
• GrapeAI: A Dual Deep-Learning Approach for Vineyard Canopy Coverage Estimation and Foliar Disease Diagnosis
  Grapevine farming continues to suffer significant yield losses from fungal foliar disease that is presently diagnosed mainly through manual, agronomist-led field inspection. This paper describes GrapeAI, a two-stage computer-vision pipeline that pairs a self-t…
  datacite Prof. M D Ingle, Jay Prakash Mane, Utkal Santosh Pansare, Shailesh Sanjay Patil 等 2026 置信度 0.66 grape disease detectionsemantic segmentationU-NetEfficientNettransfer learning
• GrapeAI: A Dual Deep-Learning Approach for Vineyard Canopy Coverage Estimation and Foliar Disease Diagnosis
  Grapevine farming continues to suffer significant yield losses from fungal foliar disease that is presently diagnosed mainly through manual, agronomist-led field inspection. This paper describes GrapeAI, a two-stage computer-vision pipeline that pairs a self-t…
  datacite Prof. M D Ingle, Jay Prakash Mane, Utkal Santosh Pansare, Shailesh Sanjay Patil 等 2026 置信度 0.66 grape disease detectionsemantic segmentationU-NetEfficientNettransfer learning
• DRONES IN SEED SOWING: A NEW AGE REVOLUTION IN AGRICULTURE
  Abstract: Seed sowing is a crucial operation in agricultural production, fundamentally determining crop establishment, uniformity and resource efficiency. In the context of global challenges such as labour shortages, environmental degradation, and the need for…
  datacite *G. Rama Mohan Reddy 1, Nagender Gaddala2, G. D. Umadevi3 and N. D. Baria4 2026 置信度 0.66 Artificial intelligence, Climate-resilient farming, Drone seed sowing, Precision Agriculture and Sustainability
• DRONES IN SEED SOWING: A NEW AGE REVOLUTION IN AGRICULTURE
  Abstract: Seed sowing is a crucial operation in agricultural production, fundamentally determining crop establishment, uniformity and resource efficiency. In the context of global challenges such as labour shortages, environmental degradation, and the need for…
  datacite *G. Rama Mohan Reddy 1, Nagender Gaddala2, G. D. Umadevi3 and N. D. Baria4 2026 置信度 0.66 Artificial intelligence, Climate-resilient farming, Drone seed sowing, Precision Agriculture and Sustainability
• TRAK-AI KDS: an offline-first Edge–Fog–Cloud decision-support system for precision agriculture in Trakya, Türkiye
  Tarımsal Karar Destek Sistemi - Veri Mühendisliği ve ETL Süreçleri
  datacite Kalkan, Melih, Çavdaroğlu, Gülsüm Çiğdem 2026 置信度 0.66 decision support systemprecision agricultureoffline-first edge computingretrieval-augmented generationcrop yield forecasting
• A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa
  The application of computer vision in agriculture has shown significant potential for improving crop monitoring and precision farming. However, many existing approaches rely on controlled datasets that do not adequately represent realworld farming conditions, …
  datacite Tijjani, Ismail Ismail, Ibrahim, Sunusi Muhammad, Khaleel, Amina Ibrahim, Akinola, Lanre Olusegun 等 2026 置信度 0.66 Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• TRAK-AI KDS: an offline-first Edge–Fog–Cloud decision-support system for precision agriculture in Trakya, Türkiye
  Tarımsal Karar Destek Sistemi - Veri Mühendisliği ve ETL Süreçleri
  datacite Kalkan, Melih, Çavdaroğlu, Gülsüm Çiğdem 2026 置信度 0.66 decision support systemprecision agricultureoffline-first edge computingretrieval-augmented generationcrop yield forecasting
• Pineapple Leaf Disease Dataset: Field-Acquired Images for Deep Learning-Based Plant Health Assessment
  This dataset contains original field-acquired images of pineapple leaves for deep learning-based disease classification and precision agriculture research. Images were collected from pineapple cultivation regions in Vazhakulam, Kerala, India. The dataset consi…
  datacite Raj, Saranya, Prakash, Nupur, Malik, Nidhi 2026 置信度 0.66 Deep learningpineapple datasetLeaf image datasetImage classificationField dataset
• Pineapple Leaf Disease Dataset: Field-Acquired Images for Deep Learning-Based Plant Health Assessment
  This dataset contains original field-acquired images of pineapple leaves for deep learning-based disease classification and precision agriculture research. Images were collected from pineapple cultivation regions in Vazhakulam, Kerala, India. The dataset consi…
  datacite Raj, Saranya, Prakash, Nupur, Malik, Nidhi 2026 置信度 0.66 Deep learningpineapple datasetLeaf image datasetImage classificationField dataset
• OpenINode: A Fully Integrated, Open-Source, and Solar-Powered IoT Node for Precision Agriculture
  datacite Anonymous, Anonymous 2026 置信度 0.66
• OpenINode: A Fully Integrated, Open-Source, and Solar-Powered IoT Node for Precision Agriculture
  datacite Anonymous, Anonymous 2026 置信度 0.66