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• Multi-species Comparative Analysis Identifies Conserved Enhancers for Improving Casein Expression via Gene Editing.
  As the global population continues to grow, the demand for protein is correspondingly increasing. Milk serves as a significant source of high-quality protein, with casein being its primary nutrient. Consequently, the cultivation of dairy animals with elevated …
  europepmc 2026 置信度 0.80
• Non-Invasive liquid viscosity characterization in Fluid-Filled pipes using zero group velocity guided wave resonances.
  Non-invasive monitoring of liquid viscosity within sealed pipelines is important for industrial process control, yet conventional techniques require fluid sampling or sensor insertion. This study uses Zero Group Velocity (ZGV) guided-wave resonances in fluid-f…
  europepmc 2026 置信度 0.80
• AI-IoT driven system for agricultural pest outbreak risk prediction.
  Invasive pests pose a significant threat to agricultural production, particularly maize crops, with severe implications for food security. Timely detection of pest development stages and accurate prediction of outbreak risks are essential for effective managem…
  europepmc 2026 置信度 0.80
• Extracting cropping patterns from remotely sensed images in a mixed single-, double-, and triple-cropping region of Southern China.
  Climate change and population growth present significant challenges to global food security, underscoring the critical importance of sustainable and efficient agricultural production. Crop rotation is a key agricultural practice that enhances food production, …
  europepmc 2026 置信度 0.80
• Precise estimation of rice leaf macro and micro nutrients from multi-spectral images using neural architecture search with polynomial approximation functions.
  Estimating the nutritional status of rice leaves is crucial for efficient nutrient management and yield enhancement. Traditional wet lab analyses are time-consuming and labor-intensive. This study presents a novel deep learning-based approach utilizing multisp…
  europepmc 2026 置信度 0.80
• Mechanistic insights on dynamic high-pressure microfluidization pretreatment of cassava starch to enhance the 3D printing accuracy of inks.
  This study investigated the mechanism of dynamic high-pressure microfluidization pretreatment to enhance cassava starch ink printability. The high-cycle modification improved the printing precision to 94.82 ± 0.14%, a 20.39% increase compared to untreated star…
  europepmc 2026 置信度 0.80
• A Sensitive and Simple Method for Trace Analysis of Pesticide Residues in Plant Guttation Fluids.
  Analysis of pesticide residues in guttation fluids remains challenging due to the small quantity of fluids. A multimode inlet technique was utilized to increase the detectability of 12 pesticide residues in guttation fluids on Epipremnum aureum leaves collecte…
  europepmc 2026 置信度 0.80
• Agroclimatic shifts and water stress adaptation in the agricultural landscape of the middle Gangetic plains: insights from Bihar, India
  Abstract Agroclimatic shifts directly influence water availability, crop productivity, and food security in vulnerable regions. By characterizing rainfall variability, crop season onset, length of growing period (LGP), and water deficit in Bihar, this study pr…
  preprints 2026 置信度 0.74
• Interpreting Yield–Spectral Relationships in Wheat and Cotton Using a Harmonised Sentinel-2 Indicator Framework
  Accurate estimation of crop yield from remote sensing remains challenging due to the crop-specific nature of yield drivers and the difficulty of interpreting spectral indicators across agronomic systems. While many studies prioritise predictive accuracy throug…
  preprints 2026 置信度 0.74
• Using Multispectral Imaging and Artificial Intelligence to Detect Crop Diseases and Pests Early
  Abstract In sustainable agriculture, detecting pests and diseases early is critical. Recent technological advances in deep learning (DL) and multimodal imaging like multispectral and thermal data crop health monitoring is promising. Despite the progress, obtai…
  preprints 2026 置信度 0.74
• A Comprehensive Image Dataset of Fruit and Leaf Diseases Across Six Horticultural Crops for Deep Learning Applications
  Abstract Abstract. Accurate and timely identi cation of plant diseases is essential for improving crop productivity and ensuring sustainable agricultural practices. This paper presents a comprehensive image dataset of fruit and leaf diseases covering six econo…
  preprints 2026 置信度 0.74
• Explainable Machine Learning for Crop Yield Classification Using Foliar Nutrient Analysis and Management Data in Colombia
  Accurate crop yield prediction is essential for improving agricultural productivity, resource management, and food security, particularly in heterogeneous environments such as Colombia. Recent advances in machine learning have enhanced predictive capabilities;…
  preprints 2026 置信度 0.74
• Sentinel Plants Enable Aboveground Detection of Belowground Soil Microbial Activity
  Rhizosphere microbial processes play a central role in soil function and plant health yet remain difficult to monitor noninvasively. Engineered sentinel plants that use bacterial-to-plant communication channels are promising. However, no such efforts have thus…
  preprints 2026 置信度 0.74
• Prediction of tomato leaf disease using deep learning approach
  Abstract Diseases of tomato leaves are significant threats to the global food security and agricultural production. The old method of diagnosis is not reliable and is time consuming, and there is a demand to have effective and accurate automated systems. The p…
  preprints 2026 置信度 0.74
• Predicting Grain Yield in Wheat Using UAV Multispectral and Ground Based Vegetation Indices
  Abstract High-throughput phenotyping using unmanned aerial vehicle (UAV) multispectral imagery offers a promising approach for predicting wheat yields under variable sowing conditions. This study evaluated the effectiveness of UAV-based vegetation indices comp…
  preprints 2026 置信度 0.74
• Advanced Deep Learning Approaches for Accurate Macrofungi Species Classification Using Optimized ResNet-150 and Vision Transformer
  Abstract Accurate identification of macrofungi is critical for biodiversity monitoring, ecological research, and preventing mushroom poisoning incidents. However, conventional identification based on morphology and molecular barcoding is time-consuming and req…
  preprints 2026 置信度 0.74
• Efficient Attention-Based Hybrid Deep Learning Architecture for Multi-Crop Plant Disease Recognition
  Abstract Early and accurate diagnosing of crops that contract diseases is critical in sustaining agricultural production and managing economic losses. Despite the massive success of the deep learning in the automated diagnosis of plant disease, new practices a…
  preprints 2026 置信度 0.74
• Early detection of Chickpea Ascochyta Blight using Hyperspectral imaging Coupled with Machine learning
  Abstract Fungal diseases such as Ascochyta pose major threats to chickpea production, causing significant losses if not detected early. Conventional diagnostic methods, including visual inspection and molecular assays, are often time-consuming, subjective, and…
  preprints 2026 置信度 0.74
• 3D Semantic Map Reconstruction for Orchard Environments Using Multi-Sensor Fusion
  Semantic point cloud maps play a pivotal role in smart agriculture. They not only provide core three-dimensional data for orchard management but also empower robots with environmental understanding, enabling safer and more efficient navigation planning. Howeve…
  preprints 2026 置信度 0.74
• AgroNova: An Autonomous IoT Platform for Greenhouse Climate Control
  This article presents AgroNova, an intelligent and autonomous Internet of Things (IoT) platform developed for real-time monitoring and control of the microclimate in greenhouses. The system combines distributed wireless sensor nodes, actuator mod-ules, a local…
  preprints 2026 置信度 0.74
• Advanced EfficientNetB3 based CNN for Multi-Class Plant Leaf Disease Detection
  Abstract In developing countries, agriculture plays an essential role in economic growth by providing food security, employment, and raw materials for industries. Diseases in plants, as in other agricultural groups, have a great impact on the reduction of glob…
  preprints 2026 置信度 0.74
• Ultraflexible Ion-Specific Nanoelectrodes for Long-Term Potassium Monitoring in Plants
  High-precision in vivo monitoring of ion fluxes is essential yet challenging studying plant electrophysiology such as growth regulation, signal transduction and stress responses. Existing methods for probing ion dynamics are limited by low sensitivity, high in…
  preprints 2026 置信度 0.74
• <span class="word">A <span class="word">U-<span class="word">Net <span class="word">Improved <span class="word">Version <span class="word">for <span class="word">Crop <span class="word">and <span class="word">Weed <span class="word">Segmentation <span class="word">from <span class="word">Aerial <span class="word">Images
  The optimization of herbicide application is one of the most important topics in Precision Agriculture, driven by both economic efficiency and ecological sustainability. Excessive herbicide use can lead to soil degradation, water contamination, and negative im…
  preprints 2026 置信度 0.74
• Transparent and Collaborative AI for Segmentation-Based Hyperspectral Image Classification
  Abstract Hyperspectral imaging has become a cornerstone technology across applications such as remote sensing, precision agriculture, environmental monitoring, and intelligent surveillance, due to its ability to capture rich and discriminative spectral informa…
  preprints 2026 置信度 0.74
• Learning from Motion. A Dynamic Feature Fusion Framework for Robust Agricultural Vision in Blurred Environments
  Abstract Computer vision for precision agriculture, particularly from unmanned aerial vehicles (UAVs), is frequently hampered by motion blur induced by wind and equipment vibration. Traditional approaches treat blur as noise to be removed or rely on computatio…
  preprints 2026 置信度 0.74
• YNF: Yield-Net Framework for Crop Yield Prediction Using Integrating Machine Learning Model
  Abstract By providing food and work, the agricultural sector has greatly contributed to the growth of many nations across the world. However, figuring out how many crops are cultivated each year has shown out to be a significant challenge. In this work, we pre…
  preprints 2026 置信度 0.74
• Edge-Ready Lightweight CNN Architectures for Tomato Leaf Disease Detection Using Transfer Learning
  Tomato ( Solanum lycopersicum ) is a globally important horticultural crop whose productivity is severely constrained by foliar diseases caused by fungal, bacterial, and viral pathogens. Early, accurate detection is essential for minimising yield losses and su…
  europepmc 2026 置信度 0.80
• Five-Meter Accuracy 3D Maps Illuminate Ancient Japan 1,800 Years Ago: Location of Yamatai Queendom
  In this study, we employed the 5-meter Accuracy Digital Elevation Model (DEM) developed by the Geospatial Information Authority of Japan, to analyze the spatial distribution of Yayoi-period archaeological sites. Rather than relying on conventional regional cro…
  preprints 2026 置信度 0.74
• AI-Driven Raman Spectroscopy and Quantum Dot Probes with Federated Learning for Micro-Nanoplastic Detection and Removal in Livestock and Aquaculture Feeds
  Micro and nanoplastics, pervasive environmental pollutants smaller than 5 mm and 1 µm respectively, infiltrate livestock and aquaculture feeds via contaminated water, sewage sludge fertilizers, and atmospheric deposition, compromising animal health, reproducti…
  preprints 2026 置信度 0.74
• Ruminosignatures associated with methane emissions and feed efficiency across geographies and cattle breeds
  The cattle rumen microbiota represents a highly complex and dynamic ecosystem, whose organization and connection to host phenotypes are of the highest importance to food security and the environment. In this study, we analyzed the rumen microbiota, from 2,492 …
  preprints 2026 置信度 0.74
• REA-CNN: A Region-Aware &amp; Enhanced Attention CNN for Robust Leaf Disease Classification
  Automated plant leaf disease detection using deep learning has achieved high accuracy on benchmark datasets; however, its performance often degrades when applied to real-world agricultural images affected by background clutter, illumination variability, and pa…
  preprints 2026 置信度 0.74
• Wheat Rust Disease Detection and Classification using an improved Deep Learning Algorithm
  Abstract Wheat, the third most widely consumed cereal crop worldwide, faces substantial yield and quality losses as a result of rust disease, notably leaf rust, stem rust, and stripe rust. These rust disease, caused by Puccinia triticina , Puccinia graminis , …
  preprints 2026 置信度 0.74
• An Ensemble Convolutional Neural Network Framework for Automated Mango Leaf Disease Detection
  Abstract Mango diseases and pest infestations represent a major challenge to agricultural productivity, making early and accurate diagnosis crucial for reducing crop losses. This study presents a security-preserving ensemble convolutional neural network (CNN) …
  preprints 2026 置信度 0.74
• Comparative evaluation of the performance of nine Machine Learning models for predicting corn yield based on uncalibrated empirical data in Cameroon
  Abstract Background: Predicting maize yields is a major challenge for food security and the optimization of agricultural systems in Sub-Saharan Africa. While climate and spectral data are often prioritized, the predictive power of socio-economic factors remain…
  preprints 2026 置信度 0.74
• The enhanced multi-tissue atlas of regulatory effects in cattle
  Cattle are integral to global food security, yet the molecular architecture of their complex traits remains poorly understood. Here, we present the Cattle Genotype–Tissue Expression (CattleGTEx) Phase 1 resource ( https://cattlegtex.farmgtex.org/ ), a substant…
  preprints 2026 置信度 0.74
• The enhanced multi-tissue atlas of regulatory effects in cattle
  Abstract Cattle are integral to global food security, yet the molecular architecture of their complex traits remains poorly understood. Here, we present the Cattle Genotype–Tissue Expression (CattleG-TEx) Phase 1 resource (https://cattlegtex.farmgtex.org/), a …
  preprints 2026 置信度 0.74
• YOLO-Weed: An Optimized Deep Learning Framework for Real-time Weed Detection in Precision Agriculture
  crossref Abd Abrahim Mosslah, Reyadh Hazim Mahdi, Hassan Kassim Albahadily 2026-08-03T13:25:47Z 置信度 0.70
• Evaluation of the Implementation and Development of Agricultural Lending in Russia
  crossref Olga N. Uglitskikh, Irina I. Glotova, Yuliya E. Sizon, Elena P. Tomilina 2025-10-01T00:32:14Z 置信度 0.70
• Modern Methods of Collagen Extraction: A Comparative Analysis of Technologies and Their Applications
  crossref Sergey Shlykov, Ruslan Omarov, Zainab Odilova, Elena Statsenko 等 2025-10-01T00:36:52Z 置信度 0.70
• Repeatability of stylus measurements in a multiscale approach
  crossref Damian Gogolewski 2025-12-02T00:17:58Z 置信度 0.70
• A Precision Weeding System for Cabbage Seedling Stage
  This study developed an integrated vision–actuation system for precision weeding in indoor soil bin environments, with cabbage as a case example. The system integrates lightweight object detection, 3D co-ordinate mapping, path planning, and a three-axis synchr…
  crossref Pei Wang, Weiyue Chen, Qi Niu, Chengsong Li 等 2026-02-05T16:30:47Z 置信度 0.70
• Enhancing the Pattern Recognition on Unmanned Aerial Vehicle Images of Agricultural Objects by Positive–Negative Momentum
  crossref Ruslan Abdulkadirov, Pavel Lyakhov, Diana Kalita 2025-10-01T00:25:59Z 置信度 0.70
• Risk-Aware Multispectral U-Net for Semantic Weed Mapping in Precision Agriculture
  crossref Laura Cosma, Ștefan Oniga, Ovidiu Cosma 2026-06-15T23:14:51Z 置信度 0.70
• Simulation of Paint Deposition Processes in Electric Fields: Enhancing Agricultural Equipment Performance
  crossref Alexander Lysakov, Gennady Nikitenko, Evgeny Konoplev, Andrey Bobryshev 等 2025-10-01T00:52:08Z 置信度 0.70
• CubeSat constellations: New era for precision agriculture?
  • The potential of SuperDove data in precision agriculture is still uncovered. • Incorporating thermal and SWIR bands into CubeSats is a challenge to implement. • Daily data provided by PlanetScope is yet to be fully leveraged. • PlanetScope data could rival S…
  crossref Lamia Rahali, Salvatore Praticò, Simone Lanucara, Giuseppe Modica 2024-12-26T15:41:26Z 置信度 0.70
• The System of Grain Clusters in Russia: Bio-Economic Approach
  crossref Olga I. Bundina, Elena N. Belkina, Alexsey S. Khukhrin, Svetlana N. Kolomiets 2025-10-01T00:41:24Z 置信度 0.70
• Coumarins and precision medicine: Molecular mechanisms and pharmacogenomics in patient-specific therapeutic design
  Coumarins represent a diverse class of natural and synthetic compounds with broad pharmacological relevance. Their variable efficacy and safety profiles across individuals highlight the need for precision-based therapeutic strategies that integrate molecular m…
  crossref Yasser Fakri Mustafa 2026-02-03T00:17:20Z 置信度 0.70
• From Reactive to Proactive: Reimagining Hypertension Management in the Precision Medicine Era
  crossref Laura Cowen 2026-05-22T10:28:25Z 置信度 0.70
• Weed Management—Identification and Treatment
  crossref Panagiotis Kanatas, Ioannis Gazoulis, Alexandros Tataridas, Anastasia Tsekoura 等 2025-08-31T20:42:58Z 置信度 0.70
• <i>Precision Chemistry</i> and <i>Analytical Chemistry</i> ─Two Synergistic Journals
  Recommendations H appy birthday Precision Chemistry!The first three years have gone by quickly and have been highly successful!When Precision Chemistry was launched, I wondered how and where its scope would overlap with Analytical Chemistry.Precision means man…
  crossref Jonathan V. Sweedler 2026-02-25T19:04:44Z 置信度 0.70
• Artificial Intelligence in Precision Oncology
  crossref Priya Hays 2026-02-10T08:06:26Z 置信度 0.70
• Translational Precision Medicine: An Industry Perspective
  The pharmaceutical sector has been synonymous with strict and traditional research and development (R&D) tactics, which have led to constant high attrition and soaring costs.With an innovative approach in which by differentiating the traditional "one-size-fits…
  crossref 2026-07-30T11:32:23Z 置信度 0.70
• Integrating AI with Plant Functional Genomics
  The advances in artificial intelligence (AI) have revolutionized plant functional genomics research to the extent of enabling high-resolution and large-scale analysis of complex molecular data. This chapter explores the integration of AI techniques such as dee…
  crossref Mani Manoj, Pappuswamy Manikantan, Jayakrishnan Lakshmi, Tanav A. Amar 等 2026-03-04T17:46:12Z 置信度 0.70
• Riding the Gene Therapy Rollercoaster Into 2026
  crossref Helen Albert 2026-03-13T12:25:41Z 置信度 0.70
• Human-In-The-Loop AI for Precision Agriculture Scoping Review
  This scoping study explores the role of Human-in-the-Loop Artificial Intelligence (HITL AI) in precision agriculture and evaluates the benefits of using human expertise in combination with Artificial Intelligence (AI) systems in decision-making within modern s…
  crossref R. N. I. Basnayake*, G. M. S. C Gajendrasinghe 2026-03-16T19:19:50Z 置信度 0.70
• Towards Sustainable Irrigation
  Smart irrigation systems integrating Artificial Intelligence (AI) and Internet of Things (IoT) technologies are revolutionizing water management in agriculture. A typological classification is displayed covering classical algorithms (KNN, SVM, Random Forest), …
  crossref Safae Mougare, Karim Abouelmehdi, Hassan Saadaoui 2026-05-13T14:49:11Z 置信度 0.70
• CRISPR and genome editing: precision tools for personalized therapies
  crossref Poonam Ranga 2026-03-27T14:17:28Z 置信度 0.70
• The Emergence of Precision Oncology
  crossref Priya Hays 2026-02-10T08:06:22Z 置信度 0.70
• An IoT-driven machine learning system for real-time smart crop recommendation and optimization in precision agriculture
  Agriculture is essential to global food security and sustainable development. The use of machine learning (ML) and Internet of Things (IoT) has the potential to enhance crop production and improve resource management through enhanced precision agriculture. Thi…
  crossref Nitish Rupesh Sawant, Anuj Kumar, Sangeeta Pant, Ketan Kotecha 2026-02-06T08:37:38Z 置信度 0.70
• Precision Agriculture: Soil Nutrient Analysis and Crop Recommendation Using IoT
  crossref M. R. Maanasa, K. V. Vidya, Sriraksha Devaraj, Divyaprabha 等 2026-05-06T22:09:18Z 置信度 0.70
• The Gut Microbiome in Precision Medicine
  crossref 2026-03-27T14:10:10Z 置信度 0.70
• Analysis of Soil Characteristics with Proximal Sensing for Precision Agriculture
  crossref Tapan Maity, Jagannath Samanta, Ashok Mondal, Prabir Saha 2026-05-21T00:12:23Z 置信度 0.70
• An IoT-Enabled Banana Lifecycle Image Dataset with Ensemble Deep Learning-Based Annotation for Precision Agriculture
  crossref S. Rama Subbanna, Mohammed Gouse Shaik, D. Veeraiah, Shaik Johny Basha 等 2026-08-28T13:49:07Z 置信度 0.70
• Predicting and Managing Crop Health Through Artificial Intelligence and IoT
  In this chapter, the author discusses the paradigm shift in modern agriculture that is motivated by the need to have sustainable food production and the use of resources efficiently through smart farming. Smart farming combines IoT, AI, ML, big data analytics,…
  crossref Tushar, Pooja Jaiswal, Prabhat Chandra Shrivastava 2026-03-20T14:37:32Z 置信度 0.70
• Integration of AI with Precision Agriculture for Targeted Pest Control
  The integration of artificial intelligence (AI) with precision agriculture has revolutionized targeted pest control by enabling early pest detection, predictive analytics, and precise pesticide application. With AI-driven technologies, such as remote sensing, …
  crossref Akhtar Hameed, Subhan Ali, Hafiz Muhammad Usman Aslam, Muhammad Waqar Alam 等 2026-05-19T10:28:06Z 置信度 0.70
• An Intelligent Cloud-Integrated Electronic Nose System for Non-Destructive Fruit Ripeness Monitoring in Precision Agriculture
  Precision in estimating the ripeness of fruits is critical in quality control and minimizing losses in supply chains of agricultural produce following harvesting. Conventional ripeness assessment techniques tend to be destructive, time-consuming and unsuited t…
  crossref Dharmendra Kumar, Vibha Jain, Ashutosh Mishra, Rakesh Shrestha 等 2026-06-08T02:32:46Z 置信度 0.70
• Artificial Intelligence Approaches in Plant Digital Multiple Omics
  The artificial intelligence (AI) integration in plant digital multiple omics has transformed plant research by increasing data assessment, explanation, and predictive modeling. AI-driven applications, encompassing deep learning (DL) and machine learning (ML), …
  crossref Maida Mobeen, Aftab Umar, Javeria Akram, Robina Aziz 等 2026-03-04T17:46:12Z 置信度 0.70
• Revolutionizing Agriculture by Integrating AI, Block Chain, IOT and Cloud for Precision and Sustainable Farming
  Agriculture face several challenges such as resource inefficiency, climate variability, lack of real time monitoring, supply chain and market challenges that impact productivity, sustainability, and profitability. These challenges highlight the need for AI, Bl…
  crossref Arya Singh, Arpita Singh, Getaansha Dheer, Nirman Kapoor 等 2026-06-17T07:23:41Z 置信度 0.70
• Evaluation of software embedded in automated soil parameter monitoring equipment for precision agriculture
  crossref Gabriela Nobre Cunha, Marconi Batista Teixeira, Nelmício Furtado da Silva, Fernando Rodrigues Cabral Filho 等 2026-07-30T13:01:21Z 置信度 0.70
• A Novel Hybrid Approach for Foreground Extraction in Precision Agriculture
  Modernizations in precision agriculture have transformed data analyses and crop management strategies. It redefines the farming practices, enhancing productivity and sustainable resource management. Foreground segmentation is crucial to empower the exact ident…
  crossref M. Babila Revathy, J. Kavitha, P. Arockia Jansi Rani 2026-02-25T15:21:08Z 置信度 0.70
• Integrating AI with hexacopter UAVs for precision agriculture: Current applications and future outlook
  The integration of AI with hexacopter-based UAVs enables high-resolution crop imaging and automated mapping. This study proposes a Hybrid AE–ViT framework, optimized using CoatiOA, for UAV-based crop health classification to distinguish healthy and weedy rice.…
  crossref Rupanjal Debbarma, Aditya Sankar Sengupta 2026-05-16T09:44:23Z 置信度 0.70
• Ultrasensitive Biopolymer−MOF Composite-Based Pressure Sensor for Data-Driven Precision Agriculture
  Abstract Plants continuously experience subtle mechanical stimuli from growth, fruit loading, and environmental stress, yet decoding these biomechanical signals remains difficult due to the lack of soft, biocompatible, and sensitive sensing materials. Herein, …
  crossref Sheikh Mansoor, Shahzad Iqbal, Zahir Abbas, Ho Min Kang 等 2026-06-16T18:37:59Z 置信度 0.70
• An Ensemble Machine Learning-Based Data-Centric Framework for Agrochemical Optimization in Precision Agriculture for Sustainable Farming
  Precision agriculture is an important application scenario for chemical engineering to carry out the clean production and sustainable resource use. In this paper, we propose an explainable data-centric ensemble machine learning framework for the optimization o…
  crossref Padma Nilesh Mishra, Kinjal Doshi, Rupali Jadhav, Rashmi Vipat 等 2026-07-21T02:46:22Z 置信度 0.70
• The climate-driven evolution of farm machinery technologies: Resilience, precision, and policy in global and Indian agriculture
  The study examines the critical role of climate change in reshaping agricultural mechanization, emphasizing the adoption of Climate-Smart Agriculture (CSA) technologies to enhance operational resilience, optimize resource use, and mitigate sectoral emissions. …
  crossref Ayan Paul, Pooja Verma, Rajendra Machavaram 2026-07-07T10:54:56Z 置信度 0.70
• Publisher Correction: Deep learning enable precision authentication of seasonal and processing signatures in tieguanyin tea.
  In this article, Junling Zhou and Chao Zheng were incorrectly denoted as the corresponding authors, but this should have been Ying Liu and Junling Zhou.
  europepmc 2026 置信度 0.80
• PestRefineDet: integrating DenseNet with RefineDet for precision pest detection in agriculture.
  Introduction Insect pests are a major threat to agricultural productivity, causing significant crop losses and reducing food production. Accurate and timely pest detection is essential for minimizing economic losses and supporting sustainable crop management. …
  europepmc 2026 置信度 0.80
• Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).
  Improving seed size and weight is a major breeding goal in mungbean (Vigna radiata (L.) R. Wilczek). Improved genomic resources and precision phenotyping may enable more efficient selection for seed trait improvement. In this study, we integrated a deep learni…
  europepmc 2026 置信度 0.80
• Q-TriLSTM-Vision: a quantum-interference- augmented tri-stream LSTM for multi-label plant stress recognition on the OLID-I benchmark.
  Plant stress recognition plays a vital role in precision agriculture by enabling the early detection of diseases, insect infestations, and nutrient deficiencies that adversely affect crop productivity. Although deep learning models have achieved promising resu…
  europepmc 2026 置信度 0.80
• Sensor-Based Cross-Modal Spatiotemporal Alignment and Causal Profit Modeling for Agricultural Input Optimization.
  As smart agriculture gradually shifts from single-yield monitoring toward the coordinated optimization of input efficiency, resource conservation, and farm profitability, the use of multi-source agricultural data to support precise water, fertilizer, and pesti…
  europepmc 2026 置信度 0.80
• Design of a Distance-Compensated Infrared Thermometer for Canopy Temperature Monitoring.
  Infrared (IR) thermometry is essential for non-contact surface temperature monitoring in precision agriculture, but conventional single-pixel devices exhibit distance-dependent measurement errors that hinder field deployment. Most existing solutions require ei…
  europepmc 2026 置信度 0.80
• Autonomous driving system for single hydrostatic transmission crawler tractor based on multi-modal steering control.
  Introduction Autonomous navigation of crawler tractors is essential for precision agriculture; however, existing systems often face a trade-off between path-tracking accuracy and steering stability, particularly under complex field conditions. To address this …
  europepmc 2026 置信度 0.80
• Dynamic LoRA Fine-Tuning of DINOv3 for Multi-Component Pasture Biomass Estimation.
  Accurate estimation of pasture biomass components from imagery is essential for sustainable grazing management and precision agriculture. Conventional methods such as destructive harvesting, rising plate meters, and remote sensing are limited by scalability, r…
  europepmc 2026 置信度 0.80
• Genetic variants modulate the effects of EGCG on adiposity and insulinemia in Diversity Outbred mice.
  Dietary polyphenols have been studied for their potential to mitigate cardiometabolic disease risk; however, their metabolic effects show significant interindividual variability. While factors such as sex, age, health status or polyphenol metabolism have been …
  europepmc 2026 置信度 0.80
• AgriOptNet: A hybrid optimization and lightweight deep learning framework for soil texture classification and crop recommendation based on nutrition.
  Agriculture is a central part of human subsistence, with classification of soil texture and nutrition-based crop recommendation being the central aspects of optimal agricultural practice. Nevertheless, traditional methods are subject to limitations of being le…
  europepmc 2026 置信度 0.80
• Integrated design of an efficient multi spectral imaging and federated learning framework for precision crop disease diagnosis in low-resource farming communities.
  Crop diseases pose significant challenges to productivity in resource-constrained settings, often remaining undiagnosed when diagnostic tools and infrastructure are either non-existent or inadequate. Current crop disease diagnosis relies on manual inspection m…
  europepmc 2026 置信度 0.80
• DCC-YOLOv8n: a lightweight model for maize seedling and weed recognition in complex farmland environments.
  Introduction To achieve high-precision and high-efficiency recognition of maize seedlings and weeds in complex field environments while meeting the deployment requirements of resource-constrained edge devices, this study constructed a lightweight object detect…
  europepmc 2026 置信度 0.80
• Lightweight Visual Detection Framework for Accurate Pepper Pest Detection Under Complex Field Conditions.
  Early pest infestations can significantly reduce chili pepper yield and quality. Therefore, timely and accurate pest detection is essential for precision pest management. However, pest detection under practical cultivation conditions remains challenging becaus…
  europepmc 2026 置信度 0.80
• Rice yield prediction using UAV-based multispectral imagery and AutoGluon across regions and field scales.
  Introduction Accurate and transferable rice yield prediction is essential for precision agriculture and food security, yet existing remote sensing-based models often suffer from limited generalization across regions, cultivars, and field scales. Methods This s…
  europepmc 2026 置信度 0.80
• A Self-Structure-Enhanced Algorithm for Pig Point Cloud Completion.
  Three-dimensional phenotypic data of pigs provide important information for evaluating growth, nutritional status and health, and they are fundamental to precision feeding, performance assessments, genetic selection and intelligent livestock management. Howeve…
  europepmc 2026 置信度 0.80
• A dual-branch perception and hybrid attention integrated framework for temporal remote estimation of wheat leaf biomass.
  Introduction Wheat leaf biomass is a key indicator of crop growth, nitrogen status, and yield potential, and its accurate estimation is essential for precision agriculture. Unmanned aerial vehicle (UAV) remote sensing provides multi-stage phenological observat…
  europepmc 2026 置信度 0.80
• Deep learning-based parasite detection for early and comprehensive diagnosis of animal trypanosomosis from thin blood smears.
  The aim of this study was to assess the possibility of deep learning-based object detection models for the early and comprehensive detection of animal trypanosomosis. We constructed deep learning models for the early detection of Trypanosoma parasites includin…
  europepmc 2026 置信度 0.80
• An improved YOLOv11n-based method for high-precision detection of ginkgo fruits in complex natural environments.
  Introduction Ginkgo fruits in natural field environments are characterized by low color saliency, small target size, severe occlusion by branches and leaves, and complex illumination variations. These factors significantly reduce real-time detection accuracy a…
  europepmc 2026 置信度 0.80
• Precision Fermentation of Recombinant Myofibrillar Proteins for Future Foods.
  Myofibrillar proteins, namely, actin and myosin, are responsible for many of the textural attributes of animal-based meat. Precision fermentation (recombinant production of food ingredients) represents an underexplored approach to producing these proteins with…
  europepmc 2026 置信度 0.80
• Prime editing: redefining precision genome editing.
  europepmc 2026 置信度 0.80
• Genome-Wide Identification of the WD40 Gene Family and Functional Analysis of a Candidate Gene Regulating Seed Quality in Soybean.
  Background : Soybean is an important crop with multiple uses for oil, food, and feed, providing 50% of the vegetable protein and 20% of the edible oil in the world. The WD40 family genes play crucial regulatory roles in growth, development, secondary metabolis…
  europepmc 2026 置信度 0.80
• A lightweight soil moisture prediction model based on irrigation cycle segmentation and Kalman filtering.
  Efficient soil moisture prediction is essential for improving precision irrigation practices, promoting sustainable water use, and mitigating crop water stress to enhance yields in irrigated farmlands. However, most prediction models rely on large dataset and …
  europepmc 2026 置信度 0.80
• UAV-Based Thermal Inversion for Canopy Temperature Retrieval and Precision Irrigation.
  Accurate assessment of crop water status is critical for precision irrigation and sustainable water management in agriculture. This study develops a UAV-based thermal infrared inversion framework for high-resolution canopy temperature retrieval and irrigation …
  europepmc 2026 置信度 0.80
• Artificial intelligence-driven food and nutrition systems: from smart food production to personalized nutrition.
  Artificial Intelligence (AI) is rapidly emerging as a technology that integrates sectors such as food production, manufacturing, supply-chain management, diet-related information, and personalized nutrition. By integrating machine learning, computer vision, pr…
  europepmc 2026 置信度 0.80
• A Dual Branch Fusion Network for Simultaneous Tea Leaf Disease Diagnosis and Age-Based Quality Grade Evaluation.
  The simultaneous diagnosis of diseases and evaluation of age quality grades in tea leaves are critical for precision agriculture and the economic valuation of tea products. Although deep learning has shown promise in agricultural vision tasks, current multi-ta…
  europepmc 2026 置信度 0.80
• Developing Intelligent Models to Detect and Classify Cattle Behavior on Pasture.
  Cattle producers must balance animal welfare with productivity, but regular observation of animals in extensively managed operations is often impractical. Artificial intelligence (AI) integrated with computer vision offers an automated alternative, but few stu…
  europepmc 2026 置信度 0.80