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• Deep learning-based classification of nitrate and nitrite concentrations from water samples using colorimetric test strip images.
  Accurate monitoring of nitrate and nitrite concentrations in water is essential for sustainable agriculture, safeguarding public health, and protecting aquatic ecosystems from nutrient pollution. Traditional methods for detecting nitrate and nitrite in water s…
  europepmc 2026 置信度 0.80
• Research note: A machine learning approach for authentication of laying hen housing systems based on egg quality parameters.
  Eggs originating from outdoor housing systems, such as organic and free-range production, are often sold at a higher price than conventional eggs. This price difference creates an incentive for potential fraud, highlighting the need for reliable and cost-effec…
  europepmc 2026 置信度 0.80
• Data quality challenges of AIGC application in smart agriculture.
  In recent years, China's agricultural development has gradually shifted from digital agriculture to smart agriculture. At the same time, with the participation of AIGC, the decision-making system of smart agriculture is also facing numerous data challenges. In…
  europepmc 2025 置信度 0.80
• Quantifying the causal impact of diseases on lactation features in Holstein cattle based on causal inference approaches.
  Disease represents a key constraint to farm sustainability by greatly compromising productivity and animal welfare in the dairy industry. Previous research has focused on short-term milk losses during the disease periods. However, in the longer term, cows ofte…
  europepmc 2026 置信度 0.80
• FAIRHiveFrames-1K: A Public FAIR Dataset of 1265 Annotated Hive Frame Images with Preliminary YOLOv8 and YOLOv11 Baselines.
  In precision apiculture, the portable digital camera is a cost-effective sensor for capturing hive images or videos used to quantify different colony variables. Openly accessible, well-annotated, interoperable cell-level image datasets are still the exception …
  europepmc 2026 置信度 0.80
• Genome Editing in Root and Tuber Crop Development in Sub-Saharan Africa.
  Precision genome editing, particularly using Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein 9 (Cas9), is advancing crop improvement by enabling targeted and efficient genetic modifications. Root and tuber crops suc…
  europepmc 2026 置信度 0.80
• Enhancing Global Oilseed Production and Sustainable Agriculture through Nanoenabled Strategies.
  Global food security and industrial sustainability increasingly depend on resilient and high-yielding oilseed crops; however, climate-induced stresses, such as drought, salinity, heat, and flooding, substantially constrain their productivity. Nanotechnology ha…
  europepmc 2026 置信度 0.80
• Recent advances in organic agriculture: innovations, challenges, and opportunities.
  Organic agriculture has become a more sustainable option compared to conventional agriculture, emphasizing biodiversity, healthy soils, and restrained pesticide applications. The purpose of this review is to integrate advances in cross-regional organic agricul…
  europepmc 2025 置信度 0.80
• Market introduction of plant varieties and products with gene-edited traits.
  Gene editing technologies can be used to develop new traits in plants by modifying DNA at specific locations. In many countries, plants made using these techniques, collectively called New Genomic Techniques (NGTs), are being regulated more leniently than tran…
  europepmc 2026 置信度 0.80
• EffResViT-SE FusionNet: A Hybrid Deep Learning Framework for Accurate Classification of Coffee Leaf Diseases.
  Coffee is a vital agricultural commodity that sustains millions of farmers worldwide, yet its cultivation is increasingly threatened by devastating leaf diseases such as Leaf Rust, Phoma, Cercospora, and Leaf Miner. These diseases reduce photosynthetic efficie…
  europepmc 2025 置信度 0.80
• Estimation of chlorophyll content in cotton leaves using UAV RGB imagery.
  Accurate and non-destructive acquisition of leaf chlorophyll content (LCC) in cotton plant canopies is of significant importance for real-time monitoring of cotton growth and implementing precise water and nitrogen management in cotton fields. This study utili…
  europepmc 2026 置信度 0.80
• Influence of Cowpea Plants on Soil Bacterial Community and Soil Quality: Effects of the Rhizosphere.
  Cowpea ( Vigna Unguiculata ), a vital legume for suitable agriculture and food security in sub-Saharan Africa, plays a crucial role in improving soil health through intricate plant-microbe interactions in the rhizosphere. This review synthesizes current knowle…
  europepmc 2026 置信度 0.80
• Self-calibrating neuromorphic system for adaptive environmental sensing.
  Precision agriculture demands accurate, real-time environmental monitoring, conventional soil moisture sensors face critical issues such as long-term drift, high energy consumption, and limited adaptability to dynamic environmental changes. These limitations o…
  europepmc 2026 置信度 0.80
• Seasonal Prevalence, Molecular Identification and Therapeutic Management of Enterotoxemia Caused by Clostridium perfringens Type D in Goats of Peshawar and Charsadda Districts, Pakistan.
  Clostridium perfringens is classified into different types, of which Type D, due to its production of epsilon toxin, can cause enterotoxemia, a fatal disease in ruminants, particularly goats. This study investigated the prevalence, isolation, molecular identif…
  europepmc 2026 置信度 0.80
• Divergent mechanisms of zinc and manganese in controlling cadmium transfer to rice grain: from big data to field verification.
  Cadmium (Cd) contamination in rice poses a serious threat to food safety, particularly in acidic paddy fields of southern China. Large-scale field surveys have revealed negative correlations between soil concentrations of zinc (Zn) and manganese (Mn) and grain…
  europepmc 2026 置信度 0.80
• What Characterizes Adopters of Virtual Fence in Semi-arid Sagebrush Steppe in the western U.S.?
  Adoption of agricultural innovations can be predicted by individual qualities of agricultural operators as well as features of their operations. Together, these characteristics influence perceptions of innovation attributes such as relative advantage and compa…
  europepmc 2026 置信度 0.80
• Therapeutic adenine base editor with minimized off-target effects.
  Genome-wide off-target effect poses a safety risk for clinical use of adenine base editor (ABE), among which ABE8e is one of the most efficient. Genome-wide off-target analysis by two-cell embryo injection (GOTI) analysis showed that the rate of genome-wide si…
  europepmc 2026 置信度 0.80
• Standardized Quantification of Melatonin: Analytical Framework and Emerging Biosensor Technologies for Agricultural Biotechnology.
  Melatonin is evolutionarily preserved across nature, while accurate analysis faces huge challenges because concentrations vary by 8 orders of magnitude depending on the matrix. Here, chromatography-based techniques such as HPLC/UHPLC-MS are compared with immun…
  europepmc 2026 置信度 0.80
• DSA-DET: a tea disease detection algorithm based on dynamic spatial pyramid and polarized linear attention.
  Introduction Traditional tea disease detection methods suffer from low efficiency and strong subjectivity, while existing deep learning approaches often demonstrate inadequate detection accuracy and poor real-time performance in complex and variable environmen…
  europepmc 2026 置信度 0.80
• Maize yield prediction using machine learning: a systematic literature review.
  Introduction Accurate maize yield prediction is critical for food security planning, particularly in sub-Saharan Africa, where maize is essential to national economies and livelihoods. This systematic review assesses the use of machine learning (ML) techniques…
  europepmc 2026 置信度 0.80
• Effects of tillage practices on aggregate-associated soil organic carbon fractions and maize yield.
  Tillage practices can disrupt soil surface, creating loose, erodible soil layers. This significantly impacts soil organic carbon (SOC) fractions, including microbial biomass carbon (MBC), dissolved organic carbon (DOC), particulate organic carbon (POC), readil…
  europepmc 2026 置信度 0.80
• Establishing the Epidemiological Cut-Off Value (ECOFF) for Cefquinome Against Staphylococcus aureus Using Standardised MIC Data.
  Staphylococcus aureus is a major pathogen responsible for a wide range of infections in both animals and humans, and the increasing emergence of antimicrobial resistance highlights the need for effective surveillance tools. Cefquinome, a fourth-generation ceph…
  europepmc 2026 置信度 0.80
• Response surface optimization of imazethapyr dose and application timing for weed suppression and faba bean yield.
  Effective weed management in faba bean (Vicia faba L.) requires precise adjustment of herbicide dose and application timing to achieve effective weed suppression while maintaining crop growth and yield. This study employed response surface methodology (RSM) to…
  europepmc 2026 置信度 0.80
• Embodied Intelligence for Soil Health toward Sustainable Smart Agriculture: Sensing the Soil with Flexible Geotextiles Sensors.
  The integration of agriculture and Internet of Things (IoT) technology has transformed traditional farming into data-driven, automated, and highly interactive systems. Central to this evolution are sensor platforms that monitor soil conditions and environmenta…
  europepmc 2026 置信度 0.80
• An improved YOLOv8n model for in-field detection of pests and diseases in pakchoi.
  As an important leafy vegetable, pakchoi ( Brassica chinensis L.) frequently suffers from pests and diseases in field environments. These symptoms are often localized on specific leaf regions, resulting in substantial losses in yield and quality. To achieve ef…
  europepmc 2025 置信度 0.80
• Toward smart agriculture: a hybrid mamba-transformer vision framework for plant disease detection.
  Plant disease detection under complex field conditions remains a critical challenge for precision agriculture due to varying illumination, scale variations, subtle lesion patterns, and inter-class visual ambiguity. This study proposes MAFusionNet, a disease-aw…
  europepmc 2026 置信度 0.80
• Multi-FusNet-convolutional neural network with improved Huber loss function for plant leaf disease detection and classification.
  Background Recently, plant disease detection and classification have become major concerns in agriculture. Early detection of plant diseases supports farmers to take precautionary actions to prevent the spread of infections across different parts of the plant.…
  europepmc 2026 置信度 0.80
• Classification-based genomic prediction for early identification of high-yielding and stable soybean genotypes.
  Improving grain yield remains the central objective of soybean breeding programs. During early-stage yield trials, breeders often evaluate thousands of genotypes; however, limited seed availability constrains the number of tested environments and replications,…
  europepmc 2026 置信度 0.80
• Precise Generation of High-β-Carotene Watermelon via Visualised Base Editing.
  Base editing (BE) is an essential tool for plant precision breeding due to its high efficiency. Although BE has been applied in cucurbits—such as creating herbicide-resistant watermelon with CBE (Tian et al. 2018) and non-flowering mutants via ABE (Wang et al.…
  europepmc 2026 置信度 0.80
• Deep learning-based approaches for weed detection in crops.
  Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy. This review provides a comprehensive synthesis of recent progr…
  europepmc 2025 置信度 0.80
• CNNAttLSTM: an attention-enhanced CNN-LSTM architecture for high-precision jackfruit leaf disease classification.
  Introduction Jackfruit cultivation is highly affected by leaf diseases that reduce yield, fruit quality, and farmer income. Early diagnosis remains challenging due to the limitations of manual inspection and the lack of automated and scalable disease detection…
  europepmc 2025 置信度 0.80
• Retraction notice to "Present trends, sustainable strategies and energy potentials of crop residue management in India: A review" [Heliyon 10 (2024) e39815].
  [This retracts the article DOI: 10.1016/j.heliyon.2024.e39815.].
  europepmc 2025 置信度 0.80
• PlantAMP: A fine-tuned protein large language model for plant antimicrobial peptide prediction.
  europepmc 2026 置信度 0.80
• Integrative genomics and genetics from evolutionary insights to precision breeding in peanuts (Arachis Hypogaea L.).
  Peanut (Arachis hypogaea L.), a globally important oilseed crop, increasingly challenged by rising edible oil demands as well as biotic and abiotic stresses. This review synthesizes recent advances in peanut genomics, evolutionary biology, and breeding technol…
  europepmc 2025 置信度 0.80
• DeepGreen: a real-time deep learning system for smart agriculture monitoring.
  Plant diseases are a major problem for farmers around the world, reducing crop yields. The absence of expertise makes plant disease detection difficult and complicated. Plant disease detection is made easier by deep learning algorithms; however, they are compu…
  europepmc 2026 置信度 0.80
• Computational and multi-omics systems biology for precision microbiome therapeutics.
  The human gut microbiome represents a complex and dynamic therapeutic target whose effective interrogation requires system-level analytical approaches beyond single-omics or reductive methods. This mini-review synthesizes recent advances in computational model…
  europepmc 2026 置信度 0.80
• Coumaphos residues in Kosovar honey: Implications for food safety and public health.
  Background The rampant occurrence of Varroa mites in honeybee hives has resulted in the significant application of chemical acaricides, prompting concerns regarding pesticide residue contamination in honey and its effects on food safety and public health. Aim …
  europepmc 2026 置信度 0.80
• Microbiota-derived isovalerate ameliorates sex-specific gut barrier dysfunction in malnutrition.
  Malnutrition increases intestinal permeability and the risk of sepsis, yet mechanisms underlying malnutrition-induced gut barrier dysfunction are poorly defined. Here, we aimed to determine how the gut microbiome and microbiota-derived metabolites influence in…
  europepmc 2026 置信度 0.80
• Hyperspectral Imaging for Early Detection and Severity Grading of Potato Bacterial Wilt.
  Potato ( Solanum tuberosum ) is a vital global non-cereal food crop severely threatened by bacterial wilt, caused by Ralstonia solanacearum ( R . solanacearum ). Conventional diagnostics like PCR and ELISA, though effective, are destructive and time-consuming,…
  europepmc 2026 置信度 0.80
• Real-time peach detection method in complex environments based on improved YOLOv8 and multi-attention fusion.
  Automated peach picking in complex orchard environments faces challenges such as fruit overlap, occlusion by leaves and branches, and low efficiency in continuous localization, which require detection algorithms to achieve both high accuracy and real-time perf…
  europepmc 2026 置信度 0.80
• Generative AI use and advisory performance among agricultural extension agents in Benin.
  Harnessing Generative Artificial Intelligence (GenAI) offers promising avenues to enhance agricultural advisory services. Yet, understanding extension agents' engagement with such technologies remains limited. Using the Technology Acceptance Model (TAM) as an …
  europepmc 2026 置信度 0.80
• Adaptive recognition network for few-shot plant diseases and pests based on homeostatic neuromodulation and meta-plasticity.
  Introduction Static networks often exhibit limited generalization on few-shot data, particularly given the scarce samples and unstructured background noise inherent to precision agriculture. To address these limitations, an adaptive recognition network for few…
  europepmc 2026 置信度 0.80
• Three-dimensional phenotyping: Technological advances and applications in genomics-assisted crop breeding.
  With rapid advancements in breeding technologies, phenomics, and artificial intelligence, crop breeding is progressively entering an era of greater precision and efficiency. In this context, three-dimensional (3D) phenotyping techniques-leveraging multidimensi…
  europepmc 2026 置信度 0.80
• Antibiotic Resistance: From the Bench to Patients, 2.0.
  The introduction of antibiotics into routine clinical practice in the 1950s marked a new era in medical care, allowing for the treatment of bacterial infections that were previously life-threatening or lethal [...].
  europepmc 2026 置信度 0.80
• ZamYOLO-maize: a YOLOv8n-based deep learning framework for automated detection and classification of maize leaf diseases in field conditions in Zambia.
  Maize, a critical staple crop in Zambia, faces persistent threats from foliar diseases such as Gray Leaf Spot, Northern Corn Leaf Blight, and Maize Streak Virus, significantly affecting smallholder productivity. Limited access to expert diagnostics, coupled wi…
  europepmc 2026 置信度 0.80
• Unraveling spatiotemporal dynamics of pine wilt disease via time-series UAV monitoring and deep learning.
  Background This study investigates the spatiotemporal dynamics of pine wilt disease (PWD) to inform data-driven management. We implemented a time-series monitoring framework in a township in Zhejiang Province, China, acquiring seven sequences of unmanned aeria…
  europepmc 2026 置信度 0.80
• Research progress on nucleic acid amplification-based detection technologies for phytopathogenic fungi.
  Phytopathogenic fungi are highly diverse and globally distributed, posing a major threat to agricultural production worldwide. The annual losses caused by plant diseases can reach up to 30% of global crop yields, with over 80% of infections caused by fungal pa…
  europepmc 2026 置信度 0.80
• PalmNeXt: a ConvNeXt-based deep learning model for pest detection in date palm leaves.
  Automated pest detection is essential for timely and accurate crop monitoring, yet many existing approaches rely on manual inspection or computationally heavy models that struggle with small and variable datasets. To address these challenges, we introduce an e…
  europepmc 2025 置信度 0.80
• SRW-YOLOv8n: a high-precision method for main-stem detection and clamping-point positioning of plug pepper seedlings.
  Precise positioning of clamping-points is the core and difficulty of realizing fully automated grafting of plug pepper seedlings. Traditional mechanical positioning methods often struggle to accommodate the morphological variations of pepper seedlings across a…
  europepmc 2026 置信度 0.80
• Embedding of ripening topology into one-stage detection for tomato cluster phenotyping.
  The automated assessment of tomato ripeness is vital for modern greenhouse operations, yet challenges remain due to variable environmental conditions. To provide a solution, we propose rank-aware You Only Look Once (YOLO), a novel detection framework that inco…
  europepmc 2026 置信度 0.80
• Detection technologies and sensing systems for crop pest identification and infestation severity prediction: a review.
  With the rapid development of precision agriculture technology, agricultural production is gradually shifting from traditional experience-based practices to data-driven decision-making. Pest species identification and scale prediction are crucial technologies …
  europepmc 2026 置信度 0.80
• Class imbalance aware deep semantic segmentation framework for weed and tobacco crops in UAV imagery.
  For accurate pesticide application in precision farming, weeds and tobacco plants must be detected to efficiently apply pesticides to weedy areas. There is potential for automated, precise weed and tobacco detection using unmanned aerial vehicle (UAV)-based im…
  europepmc 2026 置信度 0.80
• A hybrid deep learning and rule-based model for smart weather forecasting and crop recommendation using satellite imagery.
  The effective management of meteorological forecasting data is crucial for enhancing agricultural sustainability and precision, especially considering climate change. This study presents an innovative framework that integrates multispectral image analysis, adv…
  europepmc 2025 置信度 0.80
• Interpretable Machine Learning for Predicting Early Mental Health Care-Seeking Among Reproductive-Age Women in Bangladesh Using BDHS 2022 Data
  Abstract Machine learning (ML) holds promise for predicting complex health behaviors such as mental health care-seeking, yet its use and interpretation in low-resource settings remain underexplored. This study utilized the 2022 Bangladesh Demographic and Healt…
  preprints 2026 置信度 0.74
• Care-Seeking Behavior, Access to Treatment, and Under- Five Mortality in Kapolowe, a Remote Rural District in DRC: Findings from a Population Based Survey prior to iCCM Strengthening with Rectal Artesunate and Amoxicillin
  Abstract Introduction: Remote, high-transmission health districts of the Democratic Republic of Congo (DRC) continue to suffer high child mortality, much of it due to delays in accessing appropriate treatment for severe malaria and related illnesses. To inform…
  preprints 2026 置信度 0.74
• Deep Neural Networks Based Crop Classification in Agriculture Applications Using CropDeep Dataset
  In this study, we aim to assess the execution of different deep-learning models for plant classification using CropDeep dataset. The models incorporate Convolution Neural Networks (CNNs), Long Short-Term Memory (LSTM) systems, Generative Ill-disposed Systems (…
  preprints 2024 置信度 0.74
• Digital Technologies in Agriculture. Scanfield-5S Smart System with Integrated Digital Soil Cube for Innovative Solutions in Agriculture
  In the conditions of intensively developing digital technologies, agriculture is also an active environment for their application. In the sense of the digital transformation in agriculture, classical soil analysis cannot provide a high enough degree of precisi…
  preprints 2024 置信度 0.74
• MATRIX: Rapid Quantification of Total and Active Microbial Cells with Single-Cell Phenotypes for Environmental Microbiomes
  Quantifying the abundance and activity of bacteria within populations and communities is fundamental to systems microbiology and microbiome research. Yet direct microscopic cell counting remains low-throughput, labor-intensive, and prone to user variability, l…
  preprints 2026 置信度 0.74
• Comparative Analysis of Modified Wasserstein Generative Adversarial Network with Gradient Penalty for Synthesizing Agricultural Weed Images
  This study investigates the application of modified Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) to generate synthetic RGB and infrared (IR) datasets for precision agriculture, particularly targeting the detection of Raphanus Rap…
  preprints 2024 置信度 0.74
• Potentiality of Metal Nanoparticles in Precision and Sustainable Agriculture
  The world’s increasing population has a higher demand for food and a suitable environment. However, using conventional farming methods and industrial agrochemicals leads to environmental risk, which is a significant threat for the next generation. So, nanotech…
  preprints 2024 置信度 0.74
• Leveraging Predictive Analytics to Optimize Crop Yield in Plant Biotechnology
  Agriculture faces unprecedented challenges, including climate variability, limited resources, and the need to feed a growing global population. To address these issues, plant biotechnology has turned to predictive analytics—a data-driven approach combining mac…
  preprints 2024 置信度 0.74
• Improved Detecting and Locating Organ Level Small Agricultural Objects by Fusion Ortho Maps and UAV Raw Images
  Extracting the quantity and geolocations of small objects at organ level by large-scale aerial drone monitoring both is essential and challenging for precision agriculture. The quality of reconstructed digital ortho maps (DOM) often suffers from seamline disto…
  preprints 2024 置信度 0.74
• Tracking <i>Helicoverpa zea</i> (Lepidoptera: Noctuidae) flight behavior with infrared camera around pheromone trap
  Understanding the flight behavior of nocturnal insect pests is essential for designing effective trapping systems and improving integrated pest management (IPM). This study used infrared (IR) reflectance and IR camera to analyze the flight behavior of corn ear…
  preprints 2024 置信度 0.74
• Smart Agriculture: IoT and Deep Learning for Precision Crop Management
  Pakistan is an agricultural country, and an exporter of crops in many countries. The crop production is an important factor to earn revenue for the country. But the agriculture of Pakistan is still not revolutionized and no modern system has been deployed comm…
  preprints Hooriya Najeeb, Asma Naseer, Maria Tamoor 2024 置信度 0.74
• LEAF-Net: A Unified Framework for Leaf Extraction and Analysis in Multi-Crop Phenotyping Using YOLOv11
  Abstract Accurate leaf segmentation and counting are critical for advancing crop phenotyping and improving breeding programs in agriculture. This study evaluates YOLOv11-based models for automated leaf detection and segmentation across spring barley, spring wh…
  preprints 2024 置信度 0.74
• Harnessing Smartphone RGB Imagery and LiDAR Point Cloud for Enhanced Leaf Nitrogen and Shoot Biomass Assessment - Chinese Spinach as a Case Study
  Accurate estimation of leaf nitrogen concentration and shoot dry-weight biomass in leafy vegetables is crucial for crop yield management, stress assessment, and nutrient optimization in precision agriculture. However, obtaining this information often requires …
  preprints 2024 置信度 0.74
• Occurrence of tetracycline residues in cattle manure from southern Malawi: implications for antimicrobial resistance and One Health
  Abstract Antibiotic residues in livestock manure are a recognized environmental driver of antimicrobial resistance (AMR), yet no data exist on residue concentrations in cattle manure from Malawi despite unregulated veterinary drug access, widespread sub-therap…
  preprints 2026 置信度 0.74
• The Advancement and Applications of Prime Editing
  Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR), an exceptionally potent genome-editing technique developed in 2012, is the ideal tool of the future for treating diseases by permanently correcting deleterious base mutations or disrupting dis…
  preprints 2024 置信度 0.74
• Detection of Small-Scale Open-Burning Agriculture Fires Through Remote Sensing
  Open-burning of agricultural residues is a widespread practice with significant environmental implications. This study explores the potential of satellite remote sensing to detect and analyze small-scale agricultural fires in Portugal, focusing on their spatia…
  preprints 2024 置信度 0.74
• Leveraging ResNet-50 for Precision Toxicity Classification in Plants: A Vision-Based Approach to Safeguard Public Health
  The classification of toxic and non-toxic plants plays an important role in ensuring public safety, especially in agriculture, food safety, and health. Correct identification of these plants can prevent accidental poisoning and promote ecological protection. I…
  preprints 2024 置信度 0.74
• Unpacking the Multifaceted Benefits of Indigenous Crops for Food Security: A Review of Nutritional, Economic and Environmental Impacts in Southern Africa
  Indigenous and traditional food crops (ITFCs) are essential to initiatives aimed at increasing food and nutrition security and diversifying the food supply. Therefore, the study sought to evaluate the benefits associated with ITFCs particularly on food securit…
  preprints 2024 置信度 0.74
• AI-Driven Sustainable Weed Managing Mobile Robot
  This study introduces a compact, autonomous mobile weed management robot designed to promote sustainable agricultural practices and enhance crop protection through effective early-stage weed management. Equipped with a laser-based system, the robot enables pre…
  preprints 2024 置信度 0.74
• New Perspectives on Food Security Measurement Tools: A Critical Analysis of Contemporary Methods and Global Trends
  This article examines the contemporary methodologies and effectiveness of food security measurement tools developed by the Food and Agriculture Organization of the United Nations, with particular emphasis on the Food Insecurity Experience Scale, Global Food Se…
  preprints 2024 置信度 0.74
• Advancing Crop Productivity and Sustainability through Precision Pathway Manipulation in Plant Metabolic Engineering
  Metabolic engineering in plants represents a potent approach to tackling global challenges in agriculture, nutrition, and sustainability. This comprehensive review explores state-of-the-art strategies for manipulating primary and secondary metabolic pathways i…
  preprints 2024 置信度 0.74
• A Digital Twin Approach for Soil Moisture Measurement with Physically Based Rendering Simulations and Machine Learning
  Soil is one of the most important factors of agricultural productivity, directly influencing crop growth, water management, and overall yield. However, inefficient soil moisture monitoring methods, such as manual observation and gravimetric in rural areas, oft…
  preprints 2024 置信度 0.74
• Comparative Analysis of Deep Learning Models for Plant Disease Detection
  Abstract The detection of plant diseases through deep learning models repre- sents a significant advancement in agricultural management. This study pro- vides a comprehensive accuracy comparison of four prominent deep learning models—Convolutional Neural Netwo…
  preprints 2024 置信度 0.74
• YOLO-Gum: a lightweight target detection model for gummosis on tree branches in smart agriculture
  Abstract Gummosis, a common disease among stone fruits such as peach, plum, and apricot trees, primarily affects the trunks and major branches. Peach trees stand as one of the frequently targeted species for this disease. To address the issues of the inability…
  preprints 2024 置信度 0.74
• Recent Developments and Future Prospects in the Integration of Machine Learning in Mechanized Systems for Autonomous Spraying: A Brief Review
  The integration of Machine Learning (ML) into autonomous spraying systems (1) is one of the major developments in digital precision agriculture (2) that is significantly improving resource efficiency, sustainability, and production. This study looks at current…
  europepmc 2025 置信度 0.80
• Leveraging SARIMALSTM for Precision Water Topology Routing in Agricultural Fields through Intelligent Irrigation Mechanism
  Efficient water utilization is crucial for sustainable agriculture, as traditional irrigation methods face several challenges to provide precise water distribution, leading to uneven field irrigation and leading to reduction in a large-scale in expected yield.…
  preprints 2024 置信度 0.74
• Intelligent Vision System for Identifying Defects on African Plum Surfaces
  Agriculture stands as the cornerstone of Africa’s economy, supporting over 60% of the continent’s labor force. Despite its significance, the quality assessment of agricultural products remains a challenging task, particularly at large scale, consuming valuable…
  preprints 2024 置信度 0.74
• A multi-spectral and hyperspectral image dataset for evaluating the health status of avocado, olive and vineyard
  Abstract Assessing the health status of vegetation is of vital importance for all stakeholders. Multi-spectral and hyper-spectral imaging systems are tools for evaluating the health of crops across large areas, particularly when deployed on robotic platforms s…
  preprints 2024 置信度 0.74
• Blockchain Assisted Secure Authentication Protocol for Aerial Surveillance in IoT based Smart Agriculture
  Data acquisition, modelling and management are the three vital components of smart agriculture. Drones play a major role in this regard by capturing the detailed data using high-resolution cameras and advanced sensors. It acts as a key element driving enhancem…
  preprints 2024 置信度 0.74
• An Efficient IoT-based Crop Damage Prediction Framework in Smart Agricultural Systems
  Abstract This study proposes an intelligent IoT-based framework for forecasting crop damage in smart agricultural systems. Integrating smart farming with machine learning (ML) to comprehend the complex relationships in agriculture requires access to comprehens…
  preprints 2024 置信度 0.74
• FDS-YOLOv8: an improved YOLOv8 model for crop condition detection under severe weather conditions
  Abstract This paper proposes an enhanced version of the YOLOv8 object detection model, named FDS-YOLOv8, specifically designed for crop condition detection under severe weather conditions. The significance of accurate crop monitoring in agriculture cannot be o…
  preprints 2024 置信度 0.74
• IRB-YOLO: An efficient Vatica Segmentation Model based on Inverted Residual Block for Drone Camera
  The growing use of drones in precision agriculture highlights the need for enhanced operational efficiency. Despite the ability of computer vision based on deep learning has made remarkable progress in the past ten years, when it comes to segmentation task on …
  preprints 2024 置信度 0.74
• ST-CFI: Swin Transformer with Convolutional Feature Interactions for Identifying Plant Diseases
  Abstract Background: The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for redu…
  preprints 2024 置信度 0.74
• Decentralized Energy Swapping for Sustainable Wireless Sensor Networks Using Blockchain Technology
  Wireless sensor networks deployed in energy-constrained environments face critical challenges relating to sustainability and protection. This paper introduces an innovative Blockchain-Powered Safe Energy Swapping Protocol that enables sensor nodes to voluntari…
  preprints 2024 置信度 0.74
• Metabolic Engineering in Plants: Enhancing Crop Yield and Quality
  Metabolic engineering in plants offers powerful strategies to enhance crop yield and quality, addressing global challenges in agriculture and food security. This study explores cutting-edge approaches in manipulating primary and secondary metabolic pathways, u…
  preprints 2024 置信度 0.74
• Improved YOLOv8 Model for Phenotype Detection of Horticultural Seedling Growth Based on Digital Cousin
  Crop phenotype detection is a precision way to understand and predict the growth of horticul-tural Seedling in smart agriculture era, to make the agricultural production more costly and en-ergy efficiency. And it bridges the plant statues and the agricultural …
  preprints 2024 置信度 0.74
• DASNet: Dual-Branch Multi-Level Attention Sheep Counting Network
  Abstract The grassland sheep counting task is recognized as an efficient approach for promoting the development of the livestockeconomy and maintaining the ecological balance of the grassland. In this paper, the Dual-Branch Multi-Level Attention SheepCounting …
  preprints 2024 置信度 0.74
• Creating Image Datasets in Agricultural Environments using DALL.E: Generative AI-Powered Large Language Model
  This research investigated the role of artificial intelligence (AI), specifically the DALL.E model by OpenAI, in advancing data generation and visualization techniques in agriculture. DALL.E, an advanced AI image generator, works alongside ChatGPT's language p…
  preprints 2024 置信度 0.74
• Research on High-Accuracy Identification of Maize Seed Varieties Based on a Lightweight Improved YOLOv8
  Abstract The variety purity of crop seeds is the main quality indicator of seeds, which affects the yield and quality of crops. To achieve fast identification of maize seed varieties, this study collected images of 10 types of maize seeds, totaling 3,249 seeds…
  preprints 2024 置信度 0.74
• Safety evaluation of drone applicable insecticidal premix formulation for controlling fall armyworm in maize
  Abstract Fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith), a threat to maize production systems, is a highly polyphagous pest of global significance. As per the National robotics policy for application of drones in agriculture in India, a comparative st…
  preprints 2024 置信度 0.74
• Multisensor Analysis for Biostimulants Effect Detection in Sustainable Viticulture
  Biostimulants are organic agents employed for crop yield enhancement, quality improvement, and environmental stress mitigation, reducing, at the same time, reliance on inorganic inputs. With advancements in sustainable agriculture, data acquisition technologie…
  preprints 2024 置信度 0.74
• CAD Design and Modeling of a Robotic Arm for Automated Harvesting
  The increasing demand for agricultural automation within the precision agriculture sector necessitates the development of advanced robotic systems to enhance efficiency in fruit harvesting. This study presents the Computer-Aided Design (CAD) and modeling of a …
  preprints 2024 置信度 0.74
• Multi-Robot Systems in Agricultural Applications: A Review of the State of the Art
  In the last decade, the integration of robots into agricultural tasks has significantly transformed food production from planting to harvest. The precision and efficiency of a robot allow for specialized crop management in cases such as; plant disease identifi…
  preprints 2024 置信度 0.74
• An Overview of Digital Transformation and Environmental Sustainability: Threats, Opportunities and Solutions
  Digital transformation, powered by technologies like AI, IoT, and big data, is reshaping industries and societies at an unprecedented pace. While these innovations promise smarter energy management, precision agriculture, and efficient resource utilization, th…
  preprints 2024 置信度 0.74
• CNN and LSTM Approach for Soil Nutrient analysis for Sugarcane Crop
  Abstract A new paradigm has been adopted in agricultural techniques, tools, and technology. To guarantee the implementation of site-specific crop management, which includes soil nutrient treatments according to crop requirements, precision agriculture is cruci…
  preprints 2024 置信度 0.74
• Novel Technologies towards the Implementation and Exploitation of “Green” Wireless Agriculture Sensors
  The manuscript presents the use of three novel technologies for the implementation of wireless green battery-less sensors that can be used in agriculture. The three technologies, namely additive manufacturing, energy harvesting, and wireless power transfer fro…
  preprints 2024 置信度 0.74
• Precision Fermentation as an Alternative to Animal Protein, a Review
  The global food production system faces several challenges, including significant environmental impacts due to traditional agricultural practices. The rising demands of consumers for food products that are safe, healthy, and have animal welfare standards have …
  preprints 2024 置信度 0.74