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• ReViTA-Unet: An Enhanced Semantic Segmentation Model for Automated Morphometric Analysis of <i>Macrobrachium rosenbergii</i>.
  Accurate morphometric analysis of Macrobrachium rosenbergii is essential for selective breeding, growth monitoring, and precision aquaculture, yet conventional manual measurements are labor-intensive, time-consuming, and prone to operator variability. This stu…
  europepmc 2026 置信度 0.80
• HSGAN-based near-infrared hyperspectral reconstruction from characteristic wavelengths images for apple bruise detection.
  Hyperspectral images contain richer spectral and spatial information than multispectral images, yet traditional equipment suffers from limitations such as bulky size and complex data processing. This study constructs a task-oriented near-infrared (NIR) hypersp…
  europepmc 2026 置信度 0.80
• Hierarchical vision mamba U-net for farmland semantic segmentation from remote sensing imagery.
  Farmland semantic segmentation (FSS) from remote sensing imagery (RSIs) is a critical yet challenging task in precision agriculture. CNN-based methods suffer from limited receptive fields and poor long-range dependency modeling, while Transformers are limited …
  europepmc 2026 置信度 0.80
• Surface defect detection method for shawo radishes based on improved RT-DETR.
  Introduction Surface defect detection of shawo radishes is challenged by complex defect characteristics, large variations in defect scale, and insufficient feature representation, which can limit automated quality inspection and grading performance. Methods To…
  europepmc 2026 置信度 0.80
• Internal and external factors drive vegetative-reproductive strategies and reveal plant developmental stage as a lever for precision grassland management.
  Advancing plant phenomics requires linking high-resolution phenotypic data to plant performance under environmental stresses like grazing. However, how intrinsic biological factors, specifically individual developmental stage, mediate phenotypic trade-offs in …
  europepmc 2026 置信度 0.80
• Deep learning based apple leaf disease detection using spatially modulated continuouslayer.
  Early and accurate detection of apple leaf diseases is critical for sustainable agriculture, yet manual diagnosis remains time-consuming and error-prone. This study introduces a novel deep learning framework centered on a custom ContinuousLayer, a spatially ad…
  europepmc 2026 置信度 0.80
• Body weight trajectories on behavioural and physiological indicators of broiler breeder females.
  The objective of this study was to evaluate effects of relaxed feed restriction, achieved by modifying growth trajectories, on feeding behaviour and welfare indicators of broiler breeder females. Two simultaneous experiments (Exp 1 and Exp 2) used a precision …
  europepmc 2026 置信度 0.80
• Assembly mechanism-instructed precision nanocarriers: Esox lucius apoferritin for hydrophilic or hydrophobic drug loading and smart release.
  Ferritin (Fn) nanocages offer significant potential as drug delivery vehicles due to their biocompatibility, well-defined structure, and inherent targeting capabilities. In this study, we isolated Fn from the liver of Esox lucius and prepared its apo-form (apo…
  europepmc 2026 置信度 0.80
• Confidence and uncertainty aware deep learning for reliable grape leaf disease diagnosis under real world field conditions.
  Accurate and reliable diagnosis of grape leaf diseases is essential for sustainable viticulture, enabling timely intervention, reducing economic losses, and supporting precision crop management. Although deep learning (DL) models have demonstrated remarkable c…
  europepmc 2026 置信度 0.80
• Editorial: Plant phenotyping for agriculture.
  Modern agriculture operates at an unprecedented crossroads, it must simultaneously accelerate crop yields to feed an expanding global population and adapt to the severe, fluctuating pressures of climate change, structural soil degradation, abiotic water defici…
  europepmc 2026 置信度 0.80
• Explaining the spatial heterogeneity in soil-rice yield interactions via a hybrid interpretable machine learning and spatial analysis framework.
  Rice (Oryza sativa L.) constitutes the main food for more than 50% of the global population, and its production significantly influences food security and sustainable development. Using various high-resolution soil and remote sensing datasets, a hybrid random …
  europepmc 2026 置信度 0.80
• A portable multiplexed electrochemical biosensor for lactate and pH monitoring in calf saliva.
  Non-invasive biomarker assessment in saliva offers a promising route for early detection of bovine respiratory disease and scour in calves. However, accurate electrochemical sensing in this complex matrix remains challenging due to variable pH, viscosity, and …
  europepmc 2026 置信度 0.80
• EDISP: a hybrid CNN-ViT framework for robust maize leaf disease detection and classification.
  Introduction Maize is one of the most important food crops in the world, and foliar diseases can lead to significant yield losses if identification is not performed on time. Experts conducting manual inspections find it less effective and more subjective. Deep…
  europepmc 2026 置信度 0.80
• A novel genome editing strategy in plants using broad-host-range viral vectors derived from geminiviruses.
  The use of viral vectors offers a promising alternative to traditional transformation methods for creating gene-edited plants. In this study, we developed a novel plant genome editing system by delivering Cas9, Cas12f, and Cas12j nucleases along with their gui…
  europepmc 2026 置信度 0.80
• DAPR-AM-Net: an end-to-end smart farming system powered by dual-attention progressive refinement and adaptive MixUp for explainable tomato leaf disease classification and forecasting.
  Vision-based crop disease diagnosis plays a pivotal role in smart agriculture, yet challenges such as complex field backgrounds, high intra-class similarity of lesion morphology, and severe data imbalance continue to impede model stability and interpretability…
  europepmc Ran Wang, Xiao Yu, Lina Lu, Cong Chen 2026 置信度 0.80
• Integrating Machine Learning and Expert Sensory Evaluation to Identify Key Drivers of Tomato Fruit Quality: A Multi-Model and Age-Stratified Analysis.
  Individual biochemical indicators are insufficient for comprehensive tomato food flavor quality assessment, necessitating multi-parameter models of the core soluble taste matrix. We hypothesized that age stratification of trained sensory assessors would expose…
  europepmc 2026 置信度 0.80
• Multi-Horizon Herd-Based Cattle Live-Weight Forecasting Using Irregular Automated Weighing Data.
  Forecasting individual cattle live weight in herd-managed grazing systems remains challenging because automated weighing observations are irregular and environmental conditions vary seasonally. Evidence remains limited for live-weight forecasting across multip…
  europepmc 2026 置信度 0.80
• GCP-YOLO: high-precision detection of tiny chili flowers in complex greenhouse scenes.
  Precise identification of chili flowers and buds is essential for enabling intelligent robotic pollination, continuous crop monitoring, and early yield prediction in protected horticulture. Reliable visual sensing remains challenging because chili targets are …
  europepmc 2026 置信度 0.80
• Valorization of Zingiber officinale Roscoe leaf biomass: phytotoxic potential and chemical profiling toward sustainable weed management.
  Background Zingiber officinale Roscoe is widely cultivated as a spice and functional food, generating substantial amounts of aerial biomass that is commonly discarded after harvest. Within a circular-economy framework, this study investigated the phytotoxic po…
  europepmc 2026 置信度 0.80
• YOLO-ACBG: an enhanced deep learning model for precision monitoring of wheat stripe rust using different vegetation indices.
  Wheat stripe rust (WSR) is a fungal disease that significantly impacts wheat yield and quality. Pathogen-induced pigment degradation and cellular structural damage cause specific reflectance variations, notably, an increase in the red band due to reduced chlor…
  europepmc 2026 置信度 0.80
• ALSDet: a global context-enhanced network for detecting small-target diseases on apple leaves.
  Accurate detection of small-target diseases on apple leaves is of great importance for optimizing orchard management and facilitating precision agriculture. Small-target disease detection remains challenging due to insufficient features and complex backgrounds…
  europepmc 2026 置信度 0.80
• Influence of pelleting and β-mannanase on nutrient digestibility and metabolizable energy of DDGS, copra meal, palm kernel meal, and jatropha meal in precision-fed Single Comb White Leghorn roosters.
  This study evaluated the effects of pelleting and β-mannanase supplementation on nutrient digestibility and metabolizable energy of four alternative feed ingredients distillers dried grains with solubles (DDGS), copra meal, palm kernel meal (PKM), and jatropha…
  europepmc 2026 置信度 0.80
• Targeted free amino acid, nucleotide, and untargeted lipidomic profiling reveal tissue-specific chemical composition and nutritional heterogeneity in Manila clam.
  Background The Manila clam is a highly nutritious and sought-after shellfish; however, a lack of detailed knowledge regarding tissue-specific chemical composition hinders precision processing and contributes to waste. This study used targeted metabolomics and …
  europepmc 2026 置信度 0.80
• A versatile modified QuEChERS-LC-MS/MS method for determination of 102 pesticide residues in diverse dried aquatic product matrices and dietary risk assessment.
  Pesticide residues in dried fish, originating from both processing and raw materials, remains a neglected safety risk, while the high protein and fat content of the matrix renders rapid and accurate residue analysis challenging. A modified QuEChERS method was …
  europepmc 2026 置信度 0.80
• FDMB-YOLOv11: Traffic police command gesture recognition method under different lighting conditions.
  To address the challenges of false detection, insufficient feature representation, and limited real-time performance in image-based traffic police command gesture detection under different lighting conditions, this paper proposes a detection model named FDMB-Y…
  europepmc 2026 置信度 0.80
• RareAgriDetectAI a generative deep learning framework using RareSimGAN for early detection and simulation of rare crop diseases.
  Timely identification of crop diseases is imperative in precision agriculture to intervene at the right time and maximise yield sustainability. Despite achieving high accuracy, deep learning models are ineffective for rare plant disease classes, mainly due to …
  europepmc 2026 置信度 0.80
• SOCS2 regulation myoblast differentiation of Hu sheep via STAT3/PSMB9 pathway.
  SOCS2 is known to regulate myoblast differentiation and skeletal muscle development via the GH-IGF1 axis, while its role in Hu sheep myoblast differentiation and its potential alternative signaling pathways remain largely unexplored. Proteomic profiling of SOC…
  europepmc 2026 置信度 0.80
• High-Throughput Assay for Measuring Phytate and Available Phosphorus in Ground Maize Seed Samples.
  Phosphorus is an important nutrient for plants and animals. In maize seeds, phosphorus is stored in the form of phytate, which is the phosphorylated form of the sugar inositol. Monogastric animals lack the enzymes required to break phytate down, so it passes t…
  europepmc 2026 置信度 0.80
• Ozone suppresses rice photosynthesis and yield in China's middle-lower yangtze plain: satellite evidence from SIF and panel regression.
  Ground-level ozone (O 3 ) adversely affects rice physiology and is associated with yield reductions. This study developed a high-resolution assessment framework integrating multi-source satellite remote sensing with econometric methods to quantify the impacts …
  europepmc 2026 置信度 0.80
• ReLeaf-SAM: reliability-guided detail compensation for SAM-based plant disease segmentation.
  Accurate lesion segmentation is essential for automated plant disease analysis in precision agriculture. Although the Segment Anything Model (SAM) exhibits strong generalization ability, its direct application to plant disease images in natural field environme…
  europepmc 2026 置信度 0.80
• Comparative hyperparameter optimization of object detection models for precision monitoring of cucumber beetles and similar insects on yellow sticky cards.
  Computer vision presents a great opportunity for improving pest monitoring in agriculture, particularly for yellow sticky traps, a critical component in IPM. However, despite the growing interest in applying object detection models for insect identification, i…
  europepmc 2026 置信度 0.80
• AgriX-SENet: Squeeze-and-Excitation-based deep learning framework for explainable plant disease detection in sustainable agriculture.
  Introduction Timely and accurate detection of plant diseases is essential for ensuring global food security and supporting sustainable agriculture. Conventional diagnostic approaches, such as manual inspection and laboratory testing, are often time-consuming, …
  europepmc 2026 置信度 0.80
• An Optimized Particle Swarm Algorithm for High-Precision Camera Calibration with Enhanced Wide-Angle Distortion Correction.
  Camera calibration is crucial to accurate vision tasks for its establishment of the mapping between 3D space and 2D image space. Traditional calibration methods often suffer from limited accuracy and time-consuming processes. In this study, we propose an autom…
  europepmc 2026 置信度 0.80
• Generating degree day models using metabolic rates: comparing brown marmorated stink bug model predictions across the USA.
  Degree day (DD) models are an important tool for predicting insect development and geographic distribution, aiding in pest mitigation. This study seeks to integrate new data on insect thermal physiology into DD modeling, focusing on the invasive pest, the brow…
  europepmc 2026 置信度 0.80
• Spatial-aware lightweight network for real-time tea disease detection: A coordinate attention-enhanced YOLOv8n approach with path-decoupling strategy.
  The intelligent identification of tea diseases is crucial for ensuring tea quality and reducing economic losses in the tea industry. However, the deployment of deep learning models on edge devices remains challenging due to the conflict between detection accur…
  europepmc 2026 置信度 0.80
• Advanced 3D Horse Reconstruction: Integrating Image-to-3D Modelling and Non-Rigid Registration for On-Barn Body Measurements.
  Precision livestock farming (PLF) relies on high-precision three-dimensional (3D) horse reconstruction and automatic body measurement to support refined breeding management and health surveillance. However, data collection is restricted by building environment…
  europepmc 2026 置信度 0.80
• A learning-dynamics-driven framework for robust small-object detection in complex field environments: YOLOv11l-AGRI-EMA framework.
  Accurate fruit detection under natural field conditions remains challenging due to small object size, occlusion, and complex background variability. While most studies focus on architectural modifications, the role of learning dynamics and training stability r…
  europepmc 2026 置信度 0.80
• Analytical method development and validation of a serum LC-MS/MS assay for 2 emerging synthetic cannabinoids: 5F-MDMB-PICA and MDMB-4en-PINACA.
  Background This study aimed to develop and validate a highly sensitive and reproducible liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous determination of 5F-MDMB-PICA and MDMB-4en-PINACA in human serum, ensuring suitability…
  europepmc 2026 置信度 0.80
• Evaluation of YOLOv7-v13 models for multi-class small insect pest detection using the five-pest dataset.
  Pest infestation affects global agriculture, causing massive crop yield losses, ecosystem degradation, and negative economic impacts. High accuracy and efficiency in detecting small insect pests are crucial to avoid pesticide overuse and biodiversity loss. The…
  europepmc 2026 置信度 0.80
• TriAttnNet based deep learning model for automated cotton pest detection and disease classification.
  This paper presents a deep learning model to detect cotton plant pests and classify diseases, which must overcome limited datasets, class imbalance, and feature redundancy. At the preprocessing phase, the Gaussian blur filtering and Contrast Limited Adaptive H…
  europepmc 2026 置信度 0.80
• Cultivar-specific fixed-precision sequential sampling plans for monitoring Oligonychus afrasiaticus (Acari: Tetranychidae) in date palm orchards of southwestern Iran.
  The Old World date mite, Oligonychus afrasiaticus (McGregor) (Acari: Tetranychidae), is one of the most economically important pests of date palm (Phoenix dactylifera L.) throughout the Middle East and North Africa. Reliable estimation of mite density is essen…
  europepmc 2026 置信度 0.80
• Behavioral indicators of calf adaptation to automated milk feeders.
  Training calves to drink milk independently from an automated milk feeder (AMF) requires substantial labor, with calves taking several days to learn; however, it is unknown if feeding behavior can predict successfully trained calves. The objectives of this ret…
  europepmc 2026 置信度 0.80
• Integrated Comparative Genomics and Population Genomics Reveal the Genomic and Epigenomic Basis of Barley (<i>Hordeum vulgare</i>) Evolution and Domestication.
  Barley ( Hordeum vulgare ) is one of the earliest domesticated cereal crops and remains important for global feed, food, and malting industries. Although high-quality genomic resources are now available, its large repeat-rich genome has complicated genome-wide…
  europepmc 2026 置信度 0.80
• A Physics-Informed Dual-Branch LSTM Network for UAV Position and Attitude Estimation.
  To mitigate error accumulation and long-term drift in unmanned aerial vehicle (UAV) position and attitude estimation using purely inertial measurement unit (IMU) data, this paper presents a dual-branch physics-informed long short-term memory (DPI-LSTM) network…
  europepmc 2026 置信度 0.80
• Subtle fine-tuning of enzymes for allele aware precision breeding.
  Recent advances in plant breeding increasingly move beyond binary manipulation of gene expression toward the precise modulation of biological function. In this Perspective, we highlight how subtle genetic variation, particularly naturally occurring single nucl…
  europepmc 2026 置信度 0.80
• Integrated DIA-PRM proteomics Deciphers the molecular mechanisms and identifies core biomarkers of relative resistance to decapod iridescent Virus 1 (DIV1) in Macrobrachium rosenbergii.
  Macrobrachium rosenbergii is a pillar species in global freshwater crustacean aquaculture. Decapod iridescent virus 1 (DIV1) causes 60%-90% cumulative mortality in cultured ponds, leading to massive economic losses with no effective control measures. This stud…
  europepmc 2026 置信度 0.80
• Field trial analyses of wheat and cassava benefit from spatial correction.
  Spatial variation is a major source of error in agricultural field experiments affecting genotype performance prediction. Implementing statistical models that account for spatial effects can improve the prediction of genotype performance. This study evaluated …
  europepmc 2026 置信度 0.80
• TDAVM-UNet: task-driven attention VM-UNet for crop disease detection from UAV imagery.
  Crop diseases pose a serious threat to agricultural yield and global food security. Accurate detection using Unmanned Aerial Vehicle (UAV) remote sensing imagery is of great significance for precision agriculture. However, this task remains challenging due to …
  europepmc 2026 置信度 0.80
• Beef Cattle Body Weight Estimation Based on Dual-View RGB Images.
  Non-contact body weight (BW) estimation provides a low-stress and low-cost approach for precision beef cattle management, but single-view RGB images may not fully capture body-shape information. This study proposed a practical dual-view RGB framework for cattl…
  europepmc 2026 置信度 0.80
• Health Status Recognition of Yellow-Feathered Broilers in Floor-Rearing Environments via Whole-Body and Comb Feature Fusion.
  In commercial floor-rearing environments for yellow-feathered broilers, visual screening of broilers with observable health-related abnormalities is challenged by low illumination, individual occlusion, and the limited use of local comb information. This study…
  europepmc 2026 置信度 0.80
• Phosphorus modulates starch granule development and metabolic partitioning in wheat grain: Insights from SGAP proteomics and nutrition and processing quality.
  This study investigates how phosphorus (P) levels are associated with carbon-nitrogen metabolism in wheat grains. Optimal P application (105 kg P₂O₅ ha⁻¹) was associated with enhanced pericarp-endosperm coordination, increased carbon allocation to the endosper…
  europepmc 2026 置信度 0.80
• Deep Learning-Based Classification of In Vivo Embryonic Development Stages in Ceratitis capitata (Wiedemann) (Diptera: Tephritidae) Using Real-Time Microscopy Images.
  Accurate staging of embryonic development is crucial for applied studies that require precise determination of embryonic age, such as developmental biology research and phenotype-based assessments using microinjection. However, the determination of embryonic d…
  europepmc 2026 置信度 0.80
• Addressing fruit allergen detection gaps: A validated LC-MS/MS method for eight allergenic fruits in foods.
  Fruit allergies are an increasingly concerning food safety issue, yet analytical methods for simultaneous detection of multiple fruit allergens remain limited. This study developed a multiplex LC-MS/MS method for quantifying allergens from eight common fruits …
  europepmc 2026 置信度 0.80
• Detection of Kernel-Level Spoilage Adulteration in Dried Goji Berries Using Zero-Shot Learning and Computer Vision.
  Hidden adulteration of stale berries in dried goji berry batches is difficult to detect by manual inspection or batch-level quality assessment. This study developed a high-throughput method for kernel-level spoilage adulteration quantification in dried goji be…
  europepmc 2026 置信度 0.80
• Antibacterial Efficacy of 6-Gingerol Alone and in Combination With Enrofloxacin Against Multidrug-Resistant Staphylococcus aureus Isolated From Goats.
  Background Goat mastitis is an economically important disease that reduces milk yield and quality while also posing a public health risk due to antimicrobial-resistant pathogens. Objectives This study aimed to evaluate mastitis diagnostic techniques, isolate S…
  europepmc 2026 置信度 0.80
• Integrative Network-Based Transcriptomic Analysis Identifies Niclosamide as a Candidate Repositioned Drug for Breast Cancer.
  Purpose Breast cancer (BC) is a highly heterogeneous malignancy, and current treatments often suffer from toxicity, limited selectivity, and high cost. This study aimed to integrate transcriptome-level data, multi-layered network analysis, and drug repositioni…
  europepmc 2026 置信度 0.80
• Use of deep learning to predict chronic wasting disease status based on animal movement.
  Chronic Wasting Disease (CWD) is an invariably fatal prion disease that impacts cervid populations and wildlife management across North America. Infected cervids often remain asymptomatic for months and movement-based anomaly detection from Global Positioning …
  europepmc 2026 置信度 0.80
• Coupling critical nitrogen dilution curve with hyperspectral feature optimization and machine learning for inversion of nitrogen nutrition index in greenhouse cucumber.
  Introduction Rapid, non-destructive, and accurate diagnosis of nitrogen (N) nutritional status in greenhouse cucumber production is critical to mitigate over-fertilization risks and support sustainable intensification. Methods An integrated diagnostic framewor…
  europepmc 2026 置信度 0.80
• MianxinNo.1: a modern cultivar genome-informed SNP array based on cGPS technology for genomics-assisted breeding in cotton.
  To overcome limitations in the applications of existing SNP arrays in cotton genotyping and genomic selection (GS), we developed a liquid-phase SNP array, CottonSNP10K, for genomics-assisted breeding in cotton. Based on the high-quality reference genome of mod…
  europepmc 2026 置信度 0.80
• Population-level super-pangenome reveals genome evolution and empowers precision breeding in watermelon.
  Pangenomes are increasingly important for harnessing crop genetic diversity, yet their resolution and utility are often limited by insufficient sampling of high-quality genome assemblies. Here we present a population-level watermelon super-pangenome constructe…
  europepmc 2026 置信度 0.80
• Effects of Dietary Metabolizable Energy and Crude Protein on Postprandial Metabolite Dynamics and Lactation Performance in Dairy Goats.
  Background: Dietary metabolizable energy (ME) and crude protein (CP) levels are important for lactation performance and metabolic responses in dairy ruminants. This study aimed to evaluate the effects of dietary ME and CP levels on lactation performance and po…
  europepmc 2026 置信度 0.80
• Barriers to implementation in precision medicine
  crossref Puja Karmakar, Subhashree Priyadarsini 2026-03-27T14:17:28Z 置信度 0.70
• Functional modeling and parametric evaluation of components of an IoT data collection system for precision agriculture
  The article considers the development of a functional model of an automated IoT monitoring data acquisition and processing system for precision agriculture tasks using the IDEF0 structural analysis methodology. The modeling object is a hardware-software comple…
  crossref S. P. Oskin, A. V. Kuznetsov, N. E. Koneva 2026-04-22T07:06:02Z 置信度 0.70
• Deep reinforcement learning-driven decision support system design for precision agriculture: optimizing farming and resource use
  This study focuses on enhancing the efficiency of agricultural decision support systems by integrating deep reinforcement learning techniques to optimize the path planning of agricultural vehicles. By decomposing the system into dynamics, action, strategy, rew…
  crossref QINGSHAN BAI 2025-07-02T06:57:12Z 置信度 0.70
• IoT Sensors and Their Applications in Precision Agriculture
  The integration of Internet of Things (IoT) sensors in precision agriculture has revolutionized modern farming practices. These sensors gather data from diverse environmental and crop- related parameters like soil moisture, temperature, humidity, nutrient leve…
  crossref Saikat Karmakar, Pooja Roy, Subrata Mandal, Susanta Das 2025-08-22T13:08:44Z 置信度 0.70
• Generic vibration criteria for hand-held precision instruments
  This paper presents a measurement-based framework for deriving generic hand-arm vibration criteria (HAVC) for the dynamic evaluation, modeling, and simulation of hand-held precision devices. An inertial measurement system captures translational and rotational …
  crossref Johannes Wiesböck, Georg Schitter, Ernst Csencsics 2026-06-09T16:18:29Z 置信度 0.70
• Antihyperlipidemic and thrombolytic potential of medicinal plants: Mechanistic insights and precision medicine perspectives
  Background Hyperlipidemia and thrombosis are major contributors to cardiovascular morbidity and mortality worldwide. Although synthetic antihyperlipidemic and thrombolytic agents are clinically effective, their long-term use is limited by adverse effects and p…
  crossref A.G. Kingre, D.D. Ghube, P.R. Tathe 2026-06-18T20:53:02Z 置信度 0.70
• Integrating Precision Agriculture and Climate-Smart Practices: Data-Driven Pathways to Sustainable and Resilient Food Systems
  This chapter examines how data-driven technologies in Precision Agriculture (PA) can enhance the goals of Climate-Smart Agriculture (CSA) to achieve sustainable, resilient food systems. It argues that the integration of digital innovation, such as IoT-enabled …
  crossref Ibukun Elizabeth Ojo, Oluwaseun Tosin Bamigboye, Sarah Edore Edewor, Ayorinde Ebenezer Kolawole 等 2026-06-03T13:27:32Z 置信度 0.70
• Toward Precision Agriculture: Rapid and Accurate Detection of Citrus Huanglongbing via FT-IR and a Spectral Attention–Guided CNN
  Early, rapid, and accurate detection methods are critical for the prevention and control of citrus Huanglongbing (HLB). This study proposes an intelligent rapid detection framework for HLB that integrates Fourier Transform Infrared Spectroscopy (FT-IR) with a …
  crossref Minyu Li, Wenhua Rao, Shang Gao, Chao Shen 等 2026-02-16T17:38:10Z 置信度 0.70
• Nano-Fertilizers Drive Sustainable Agriculture through Precision Nutrient Delivery and Environmental Risk Mitigation
  crossref Minhas Elahi, Muhammad Anas, Waseem Ahmed Khattak, Uzma Kiran 等 2026-04-29T08:20:09Z 置信度 0.70
• COMPARATIVE ANALYSIS OF ADVANCED MODELS FOR PRECISION IRRIGATION OF MAIZE
  Taking into account water resources and their importance for human life and economic development, it is clear that accurate and precise determination of irrigation requirements in modern agricultural practice becomes imperative, especially in the context of in…
  crossref Benjamin Crljenković, Sabrija Čadro 2026-07-15T13:10:09Z 置信度 0.70
• Method for Classifying Apple Leaf Diseases Based on Dual Attention and Multi-Scale Feature Extraction
  Image datasets acquired from orchards are commonly characterized by intricate backgrounds and an imbalanced distribution of disease categories, resulting in suboptimal recognition outcomes when attempting to identify apple leaf diseases. In this regard, we pro…
  crossref Jie Ding, Cheng Zhang, Xi Cheng, Yi Yue 等 2023-04-26T02:30:52Z 置信度 0.70
• Geo-Information Driven Multi-Criteria Decision Analysis for Precision Agriculture Technologies Using Neutrosophic Entropy-DEMATEL and Hybrid TOPSIS
  Precision agriculture employs advanced technologies to enhance farm productivity and sustainability; however, selecting the most appropriate tools can be challenging for small and medium-sized farms. This study conducts a comparative analysis of ten key precis…
  crossref Venkata Prasanna Nagari, Vinoth Subbiah 2026-03-11T09:00:37Z 置信度 0.70
• Leveraging nonlinear deep learning models for intelligent crop recommendation in precision agriculture
  Abstract For countries with developing economies, agriculture, particularly the farming and livestock business, plays an essential role in their economic growth. Agriculture is the basis of food security and supplies the farming labor and means of subsistence …
  crossref Swagatika Tripathy, Premansu Sekhara Rath, Dibya Ranjan Das Adhikary, Muluken Desalegn Woldesenbet 等 2026-07-18T21:35:06Z 置信度 0.70
• Economic and environmental trade-offs of precision agriculture adoption among Small and Mid-Scale U.S. farmers
  Precision agriculture technologies have diffused rapidly across large-scale commercial U.S. farming operations, yet the economic and environmental calculus for small and mid-scale farmers remains deeply contested and insufficiently understood. This article pre…
  crossref Joseph Dwumaah Owusu 2026-07-21T15:37:44Z 置信度 0.70
• PENGARUH PEMBERIAN KOMPOS TKKS DAN PGPR TERHADAP PERTUMBUHAN DAN HASIL MELON PADA TANAH PMK
  Tujuan dari penelitian ini adalah untuk mempelajari bagaimana pemberian kompos tandan kelapa sawit kosong (TKKS) Plant Growth Promoting Rhizobacteria (PGPR) berdampak pada pertumbuhan dan produksi tanaman melon pada tanah Podsolik Merah Kuning (PMK). Kegiatan …
  crossref Sesilia Ika Sandriani, Fadjar Rianto, Basuni 2026-06-20T00:04:11Z 置信度 0.70
• Crop type classification using Sentinel-2 images and AI-enabled methods for precision agriculture
  crossref Atiya Khan, Chandrashekhar Himmatrao Patil, Amol D. Vibhute, Shankar Mali 2025-10-28T06:38:57Z 置信度 0.70
• Advances in Artificial Intelligence for Plant Systems Biology
  Advances in artificial intelligence (AI) have significantly transformed plant systems biology, providing novel tools to unravel complex biological processes and address pressing challenges in agriculture and ecology. This chapter highlights the pivotal role of…
  crossref Tharani Sureshkumar, Ramkumar Govindarajan, Sarah Jaison, Sunitha Kumari Krishnan Kutty 等 2026-03-04T17:46:12Z 置信度 0.70
• Quantity vs. quality: does wheat grain yield or protein content have a greater opportunity for precision management?
  Abstract Purpose Fields characterised by large within-field variation stand to potentially gain from the differential application of inputs via Site-Specific Crop Management (SSCM). Maps generated from wheat grain yield and protein sensors are revealing consid…
  crossref Mikaela J. Tilse, Thomas F. A. Bishop, Patrick Filippi 2025-07-15T07:28:55Z 置信度 0.70
• AI-Based Smart Irrigation System for Precision Agriculture using Soil Moisture Prediction and Weather Data
  Efficient water management is one of the most critical challenges in modern agriculture. Traditional irrigation methods often lead to excessive water consumption and reduced crop productivity due to the lack of real-time monitoring and predictive decisionmakin…
  crossref N. Devakirubai, N. Pushpa, J. Jeevitha, J. Mahalakshmi 2026-06-03T08:08:08Z 置信度 0.70
• Enhancing stem localization in precision agriculture: A Two-Stage approach combining YOLOv5 with EffiStemNet
  crossref Wentao Xiang, Dongchuan Wu, Jian Wang 2025-01-18T02:44:02Z 置信度 0.70
• Quantum Landscape of Precision Chemistry
  crossref Zhenyu Li, Xiangfeng Duan, Jinlong Yang 2026-06-17T10:12:04Z 置信度 0.70
• PlantShield AI: An Integrated Deep Learning Framework for Intelligent Crop Pest and Disease Detection in Precision Agriculture
  Agricultural productivity is under severe and growing threat from plant pests and diseases that cause significant crop losses worldwide, particularly inregions where farmers lack access to expert diagnostic support. This paper presents Plant Shield AI, a web-b…
  crossref Nisha R 2026-05-08T17:22:52Z 置信度 0.70
• Editorial: Innovative technologies and applications of UAV in precision agriculture to mitigate climate change
  The accelerating impacts of climate change continue to challenge global agriculture, increasing the need for adaptive and sustainable technological solutions. In this context, Unmanned Aerial Vehicles (UAVs) have evolved from experimental tools to key componen…
  crossref Raquel Martínez-Peña, Miguel Ángel Pardo, Carlos Poblete-Echeverría, Sergio Vélez 2026-02-25T07:04:19Z 置信度 0.70
• Selection of Robots in Precision Agriculture Using Multi-Criteria Decision-Making Methods
  This article is about choosing the best robot for controlling weeds. It uses a special method that combines fuzzy CRITIC and fuzzy CoCoSO to make decisions based on many different factors. The researchers examined six different robots and considered ten criter…
  crossref Miroslav Nedeljkovic, Milorad Đokić, Milivoje Ćosić 2026-05-14T19:03:27Z 置信度 0.70
• Promoting drone aerial image for precision agriculture approach on oil palm fertilizer application
  crossref Andreas Wahyu Krisdiarto, Tri Haryo Sagoro, Badi Hariadi 2026-05-20T17:00:22Z 置信度 0.70
• Predictive Analysis of Coconut Tree Diseases and Yield Optimization Using Random Forest in Precision Agriculture
  Coconut farming is a critical sector of the agricultural economy of most of the tropical states, where crop yields tend to be influenced by diseases, climatic and soil nutrient dearth. This is because early detection of diseases in the plants and proper predic…
  crossref S T PAVITHRA DEVI, DR. V. MANIRAJ 2026-08-31T05:29:38Z 置信度 0.70
• AI-BASED SOIL HEALTH ANALYSIS AND CROP RECOMMENDATION SYSTEM FOR SMART FERTILIZER MANAGEMENT IN PRECISION AGRICULTURE
  Precision agriculture is changing the modern agriculture system by adopting the artificial intelligence (AI) technology that enhances the performance of agricultural systems and environmental conservation. The study introduces an artificial intelligence soluti…
  crossref Madhuri Deepak Mulje 2026-04-09T12:37:40Z 置信度 0.70
• Crop recommendation in precision agriculture: a systematic literature review of methods, trends, and challenges
  Crop recommendation methods have become an essential component of modern agriculture, helping farmers identify the most suitable crops based on soil, climatic, and environmental conditions. As key applications of precision agriculture, these methods increasing…
  crossref Ebenezer O. Oladipe, Sunday E. Adewumi, Taiwo Kolajo, Joshua B. Agbogun 2026-08-20T16:01:04Z 置信度 0.70
• Nanobiosensors for Precision Plant Disease Management
  crossref Mohsen Mohamed Elsharkawy 2025-07-29T06:59:03Z 置信度 0.70
• AgroMitra: An IoT–Edge–Cloud and AI-Integrated Precision Agriculture Platform
  crossref Harsh Bhimsen Pandey, Vaishnavi Varma, Savita Gupta, Desh Deepak Pal 等 2026-07-09T04:49:33Z 置信度 0.70
• Innovación en agricultura de precisión: panorama de patentes
  El objetivo de este estudio fue caracterizar, mediante patentometría, la dinámica tecnológica asociada a la agricultura de precisión a partir de solicitudes internacionales, identificando tendencias temporales, jurisdicciones de protección, solicitantes lídere…
  crossref Gabriela Valentina Valarezo Alvarez, Gisselle Marcela Soto Minchalo, Luis Francisco Álvarez Arevalo 2026-08-13T21:24:49Z 置信度 0.70
• Community perceptions of the health care worker-based wound management model “Identify and treat wounds early” including skin NTDs in rural Côte d’ Ivoire
  Abstract Background: Skin wounds affect millions of people in Africa. In rural communities’ wounds are highly prevalent due to trauma including snakebites and a wide range of infections including skin NTDs. Wound prevention and access to health services is lim…
  preprints 2026 置信度 0.74
• Characterizing space-time patterns of nitrogen oxides (NO 2 and NO) pollution in Kigali, Rwanda
  Abstract Kigali, like many cities in sub-Saharan Africa (SSA), must balance rapid urban growth and the provision of essential services with the need to curb environmental pollution and protect public health in the context of its unique topography. Although the…
  preprints 2026 置信度 0.74
• The Environmental Footprint of Retail Foods at Scale: A Multi-Country Analysis
  Abstract Understanding the environmental impacts of food products is essential for a sustainable food systems transformation, yet such information remains sparse and non-standardized. Here we analyse nearly 475,000 products across 74 countries, quantifying the…
  preprints 2026 置信度 0.74
• A unique transcriptomic landscape defines African-specific grade group 1 prostate cancer
  Abstract Background Prostate cancer (PCa) exhibits significant ancestry-related disparity. While men of African ancestry experience higher overall mortality rates, this difference is most pronounced in Sub-Saharan Africa and for grade group 1 (GG1) disease, al…
  preprints 2026 置信度 0.74
• Determinants of delayed antenatal visit attendance in rural Burkina Faso: a cross-sectional study
  Introduction The World Health Organization recommends a minimum of eight antenatal care (ANC) contacts, with the first visit occurring before the 12 th week of gestation, as a strategy to enhance the preparedness of women for institutional delivery and improve…
  preprints 2025 置信度 0.74
• Bayesian and Probit comparative analysis of risk factors for high blood pressure among adults in Kassena-Nankana Districts, Ghana: An AWI-Gen sub-study
  Abstract Background : Hypertension prevalence is rising in rural Ghana, but risk factor identification is constrained by methodological limitations in sparse data. This study comparatively applied frequentist (Probit) and Bayesian models in identifying hyperte…
  preprints 2025 置信度 0.74
• Does Precision Technologies Adoption Contribute to the Economic and Agri-Environmental Sustainability of Mediterranean Wheat Production? An Italian Case Study
  The European Green Deal has set a concrete strategic plan to increase farm sustainability. At the same time, the current global challenges, due to climate change and fuels and commodity market crisis, combined with the Covid-19 pandemic and the ongoing war in …
  preprints 2023 置信度 0.74
• A Review on Plant Fungal Disease Detection based on RGB, Multispectral and Thermal Camera
  India ranks among the top ten nations in the world for grape production. Fungal pathogens inflict damage to crop plants in turn making cultivators bear huge economical losses. With an output of 1.21 million tons (about 2% of 57.40 million tons produced globall…
  preprints 2023 置信度 0.74