-
There is no gain saying of the obvious fact that Long-endurance, Unmanned Aerial Vehicles are critical not only for surveillance and precision agriculture, but also for disaster response, and environmental monitoring. However, battery capacity remains the prim…
datacite
Ezirim Kelechi ThankGod, Sani Abubakar Muhammed, Aniugo Victor Onyekachi, Nwaokolo Ikechukwu Frank 等
2026
置信度 0.66
UAVEnergy-Aware RoboticsPath PlanningPower OptimizationLong-Endurance
-
There is no gain saying of the obvious fact that Long-endurance, Unmanned Aerial Vehicles are critical not only for surveillance and precision agriculture, but also for disaster response, and environmental monitoring. However, battery capacity remains the prim…
datacite
Ezirim Kelechi ThankGod, Sani Abubakar Muhammed, Aniugo Victor Onyekachi, Nwaokolo Ikechukwu Frank 等
2026
置信度 0.66
UAVEnergy-Aware RoboticsPath PlanningPower OptimizationLong-Endurance
-
Multi-cloud architectures are revolutionizing modern agriculture through enhanced precision farming capabilities and optimized resource utilization. These systems integrate Internet of Things (IoT) devices, advanced analytics, and machine learning technologies…
datacite
Sinha, Abhishek Kumar
2026
置信度 0.66
Multi-cloud Agriculture; Precision Farming; IoT Sensors; Deep Learning; Agricultural Automation
-
Multi-cloud architectures are revolutionizing modern agriculture through enhanced precision farming capabilities and optimized resource utilization. These systems integrate Internet of Things (IoT) devices, advanced analytics, and machine learning technologies…
datacite
Sinha, Abhishek Kumar
2026
置信度 0.66
Multi-cloud Agriculture; Precision Farming; IoT Sensors; Deep Learning; Agricultural Automation
-
Artificial Intelligence (AI) has emerged as a transformative force in modern agriculture, revolutionizing traditional farming practices through the integration of advanced technologies and data-driven decision-making systems. This comprehensive article explore…
datacite
Jain, Rajnish
2026
置信度 0.66
Artificial Intelligence in Agriculture; Precision Farming Technologies; Smart Crop Management; Agricultural Decision Support Systems; Sustainable Farm Optimization
-
Artificial Intelligence (AI) has emerged as a transformative force in modern agriculture, revolutionizing traditional farming practices through the integration of advanced technologies and data-driven decision-making systems. This comprehensive article explore…
datacite
Jain, Rajnish
2026
置信度 0.66
Artificial Intelligence in Agriculture; Precision Farming Technologies; Smart Crop Management; Agricultural Decision Support Systems; Sustainable Farm Optimization
-
One of the biggest risks to agricultural production and food security worldwide still is insect and plant diseases. Broad-spectrum chemical insecticides, which are frequently reactive, detrimental to the environment, and economically ineffective, are the mains…
datacite
Sadhana, S., Ramkumar, R.
2026
置信度 0.66
CNN; IoT; UAV; Smart Agriculture; Deep Learning; Artificial Intelligence; Precision Agriculture; Pest Detection
-
One of the biggest risks to agricultural production and food security worldwide still is insect and plant diseases. Broad-spectrum chemical insecticides, which are frequently reactive, detrimental to the environment, and economically ineffective, are the mains…
datacite
Sadhana, S., Ramkumar, R.
2026
置信度 0.66
CNN; IoT; UAV; Smart Agriculture; Deep Learning; Artificial Intelligence; Precision Agriculture; Pest Detection
-
Rapidly, deep learning approaches have emerged as the go-to approach for assessing medical picture segmentation. The basic ideas of this study is to apply on picture segmentation , along with an analysis of various contributions made to the deep learning medic…
datacite
Srivastava, Anshu, Chandra, Abhishek, Zaidi, Abid Mohsan, Sonker, Akshay Kr. 等
2025
置信度 0.66
Deep Learning; Image Classification; Segmentation; Medical Image
-
Rapidly, deep learning approaches have emerged as the go-to approach for assessing medical picture segmentation. The basic ideas of this study is to apply on picture segmentation , along with an analysis of various contributions made to the deep learning medic…
datacite
Srivastava, Anshu, Chandra, Abhishek, Zaidi, Abid Mohsan, Sonker, Akshay Kr. 等
2025
置信度 0.66
Deep Learning; Image Classification; Segmentation; Medical Image
-
The health of trees is a key component of ecological stability and diversity in ecosystems. Early detection of diseases that affect tree leaves can help with timely intervention and mitigation measures. The aim of this study is to determine whether or not tree…
datacite
Revathi, M. P., R, Senega
2025
置信度 0.66
Agriculture; Tree Leaf-Based Disease Prediction; Model Selection; Deep Learning; Fertilizer Recommendation
-
The health of trees is a key component of ecological stability and diversity in ecosystems. Early detection of diseases that affect tree leaves can help with timely intervention and mitigation measures. The aim of this study is to determine whether or not tree…
datacite
Revathi, M. P., R, Senega
2025
置信度 0.66
Agriculture; Tree Leaf-Based Disease Prediction; Model Selection; Deep Learning; Fertilizer Recommendation
-
Plant pest and disease detection is crucial for ensuring agricultural productivity and food security. This paper presents a machine learning-based approach utilizing image processing techniques to identify pests and diseases in plants. The system employs Histo…
datacite
Bhavadharni, K, Banuroopa, K
2025
置信度 0.66
Pest detection; Disease classification; Machine learning; Image processing; Histogram of Oriented Gradients (HOG); Support Vector Machine (SVM); Color segmentation; Agricultural technology; Precision farming; Computer vision
-
In many parts of the Asia, particularly in the arid regions of the middle east the date palm i.e. Phoneix dactylifera L. is considered a significant plant both culturally and economically. Over the past decade numerous biotechnological tools have been applied …
preprints
2024
置信度 0.74
-
Abstract Analysts are increasingly interested in planning and organizing land activities near the shore, a trend that has emerged in recent years. This interest is driven by various factors, particularly the increasing focus on agricultural land and research o…
preprints
2024
置信度 0.74
-
Abstract Colombia is one of the most important agricultural producers in the world. Coffee stands as one of the pivotal products within Colombian agriculture. However, the coffee agro chain is not as developed as in countries like Brazil. In Colombia, there ex…
preprints
2024
置信度 0.74
-
Abstract The integration of artificial intelligence with sensor technologies has revolutionized precision agriculture, offering unprecedented opportunities for enhancing crop management and productivity. This review focuses on the latest advancements in vision…
preprints
2024
置信度 0.74
-
This paper presents the PEnsemble 4 model, a sophisticated machine learning framework that integrates IoT-based environmental data to accurately forecast maize yield. With the projected significant growth in global maize demand over the next decade, the inhere…
preprints
2024
置信度 0.74
-
The integration of Wireless Sensor Networks (WSNs) into agricultural areas has had a significant impact and has provided new, more complex, efficient, and structured solutions for enhancing crop production. This research reviews the role of Wireless Sensor Net…
preprints
Purnawarman Musa, Herik Sugeru, Eri Prasetyo Wibowo
2023
置信度 0.74
-
This study examines the capacity of a Site-Specific Fodder Management Decision Support System (SSFM-DSS) model to assist in successful cultivation of sericea lespedeza [SL; Lespedeza cuneata (Dum.-Cours.) G. Don.], with a specific focus on small-scale agricult…
preprints
2024
置信度 0.74
-
The availability of high throughput soil profile information is an important component in precision agriculture to perform efficient soil management for sustainable production. We collected 14 soil physiochemical features from Nagpur, Pune, and Haveri, represe…
preprints
2024
置信度 0.74
-
Profitability is an underestimated concept in precision agriculture. In this research, a new module is developed within a pre-existing farm management system to assess the profitability of precision agriculture applications in extended crops. The module is reg…
preprints
2023
置信度 0.74
-
Precision Agriculture is the ability to handle variations in productivity within a field and maximize financial return, optimize resource utilization and minimize impact of the environment. It is also the process of automated data collection, cloud storage and…
preprints
Tagel Weldu Aboneh, Abebe Rorissa
2023
置信度 0.74
-
Abstract Brazil is one of the largest soybean producers in the world, however, there are still yield gaps in crops, mainly linked to weather conditions. Based on it, this paper quantifies the spatial variability of rainfall based on two dense networks of rain …
preprints
2023
置信度 0.74
-
Abstract In the era of advancement in technology and modern agriculture, early disease detection of potato leaves will improve crop yield. Various researchers have focused on disease due to different types of microbial infection in potato leaves using computer…
preprints
2023
置信度 0.74
-
Unmanned Aerial Vehicles (UAV) are increasingly being used in a variety of domains and precision agriculture is no exception. Precision agriculture is the future of agriculture and will play a key role in long-term sustainability of agricultural practices. Thi…
preprints
2023
置信度 0.74
-
Abstract Plant phenotyping and Precision agriculture are information-and technology-oriented fields with specific challenges and demands for the detection and diagnosis of plant disease. Precision agriculture can be referred as a crop management method related…
preprints
A. Pavithra, KALPANA G, T. Vigneswaran
2023
置信度 0.74
-
The Complete Coverage Path Planning (CCPP) problem is a sub-field of industrial motion planning that has applications in various domains, ranging from mobile robotics to treatment applications. Especially in precision agriculture with a high level of automatio…
preprints
2023
置信度 0.74
-
Agricultural production needs technologies that assist the management of natural resources, for example, the collection of real-time data on soil, water, weather, crops, and biodiversity conditions. Sensor technology solutions and open-source software are appr…
preprints
2023
置信度 0.74
-
Sensor networks, as a special subtype of wireless networks, consist of sets of wirelessly connected sensor nodes often placed in hard-to-reach environments. Therefore, it is expected that sensor nodes will not be powered from the power grid. Instead, sensor no…
preprints
2023
置信度 0.74
-
Abstract Appropriate utilization of water and its distribution within the fields for irrigation purpose within the agricultural domain is of paramount importance. It not only helps in retaining the natural resource, but also eliminates various environmental ri…
preprints
2022
置信度 0.74
-
The globe and more particularly the economically developed regions of the world are currently in the era of the fourth Industrial revolution (4IR). Conversely; the economically developing regions in the world and more particularly the African continent have no…
preprints
2023
置信度 0.74
-
Abstract This study assessed the potential applications of open data source satellite images in estimating the phenology of the wheat crop on a study farm found in the village of Ovcha Mogila, Bulgaria. A Landsat-9 and Sentinel-2 satellite images were extracte…
preprints
2022
置信度 0.74
-
Precision agriculture (PA) is a holistic, sustainable, innovative systems approach that assists farmers in production management. Adopting PA could improve sustainable food security and community economic sustainability. Developing an understanding of PA adopt…
preprints
2021
置信度 0.74
-
Abstract Sustainable agriculture has substantial share on improvement of food security and optimization of resources utilization particularly for high value crops like rice leaf. Rice varieties should be properly classified in order to benefit the harvest mana…
europepmc
2026
置信度 0.80
-
Abstract Pests and diseases are major constraints to cereal production, reducing crop yield, farm profitability, and food security worldwide. Timely detection of crop health threats and accurate assessment of infection severity are essential for effective crop…
europepmc
2026
置信度 0.80
-
The rapid acceleration of the global climate crisis poses an existential threat to food security, environmental hygiene, and global public health. Traditional agricultural frameworks lack the predictive granularity required to withstand hyper-local abiotic flu…
europepmc
2026
置信度 0.80
-
Abstract In tropical and semi-arid regions such as India, the escalating competition between agricultural freshwater demand and utility-scale solar energy expansion has created an acute food, energy, and water nexus conflict. To resolve this tension, this revi…
europepmc
2026
置信度 0.80
-
Abstract Early, non-invasive detection of moisture deficits in soilless substrates is essential for precision irrigation and condition monitoring in controlled-environment agriculture. However, widely used substrates such as rockwool remain under-characterized…
europepmc
2026
置信度 0.80
-
Abstract Plant diseases represent major constraints on agricultural productivity, often resulting in significant yield losses. This study presents FitoView, a cloud-based mobile decision support system that integrates deep learning with real-time weather forec…
europepmc
2026
置信度 0.80
-
Aerial imagery is regularly used by farmers and growers to monitor crops during the growing season. To extract meaningful phenotypic information from large-scale aerial images collected regularly from the field, high-throughput analytic solutions are required,…
preprints
2019
置信度 0.74
-
Abstract The present work deals with Computer Vision precision in the agriculture domain designed to monitor the height variation of plants (h) and the percentage of Ground Cover (PGC). It brings together electronics and Computer Vision. the electronic part co…
europepmc
2026
置信度 0.80
-
Magnetic field (MF) technologies have been applied in agriculture for decades. However, they have not achieved mainstream adoption, partly because no validated methodology exists for evaluating their effects under realistic field conditions. UAV-based multispe…
europepmc
2026
置信度 0.80
-
Abstract In modern agriculture, it is essential to identify the early symptoms of plant diseases and to accurately maintain the productivity of the crop and reduce economic losses. Foliar diseases are a special concern in peach because they can cause yield as …
europepmc
2026
置信度 0.80
-
Abstract Accurate crop-weed classification is critical for precision agriculture, but it is complicated by natural inter-class similarity acrossdifferent phases of growth, class imbalance, and the inefficiency of running deep neural networks on resource-constr…
europepmc
2026
置信度 0.80
-
Abstract Technological advances have expanded the adoption of digital technologies in agriculture, helping to reduce labour effort, increase profitability, improve crop efficiency and productivity, enhance product quality, mitigate environmental impacts, and p…
europepmc
2026
置信度 0.80
-
The queen bee is the central individual responsible for colony establishment, growth, and survival. Reliable confirmation of successful mating, continued queen presence, and normal reproductive performance is essential for effective colony management. We prese…
europepmc
2026
置信度 0.80
-
Abstract Blanket-rate agrochemical scheduling — a practice wherein the same quantity of fertilizer or pesticide is spread uniformly across an entire field irrespective of spatial or temporal crop need — persists as the dominant farm management paradigm across …
europepmc
2026
置信度 0.80
-
Abstract Outbreaks of plant diseases are major threats to world food security particularly in areas where real-time monitoring and quick decision support are constrained by low-power edge gadgets and untrustworthy connectivity. In order to overcome these issue…
europepmc
2026
置信度 0.80
-
Abstract The agricultural sector is facing a growing challenge related to the aging farming population and the declining participation of younger generations. This trend threatens agricultural sustainability, food security, and rural economic development in ma…
europepmc
2026
置信度 0.80
-
Abstract Early and reliable diagnosis of pineapple diseases remains challenging in precision agriculture due to variable illumination, fruit overlap, occlusions, heterogeneous backgrounds, and high visual similarity among disease symptoms. This study proposes …
preprints
2026
置信度 0.74
-
Agriculture is going through transformations by leveraging the advancements in technological practices including the implementation of Cyber-physical systems (CPS), a centralized system encompassing highly integrated computational and physical elements. It con…
europepmc
Muhammad Waseem, Hamna Batool, Tanzeel Ur Rehman, Yaqoob Majeed 等
2026
置信度 0.80
-
Accurate detection of tobacco plants in complex field environments is critical for precision agriculture, crop monitoring, and yield estimation. Traditional manual counting methods are time-consuming, labor-intensive, and susceptible to environmental and subje…
preprints
2026
置信度 0.74
-
Abstract Currently, the application of visual monitoring in smart agriculture is one of the options in the implementation of precision agriculture. Smart agriculture visual monitoring has challenges in terms of the relatively high cost of high-resolution camer…
europepmc
2026
置信度 0.80
-
Abstract Context: Precision irrigation has the potential to improve water-use efficiency in almond production by accounting for within-orchard spatial variability, yet few multi-year, commercial-scale evaluations of variable-rate micro-irrigation (VRI) have qu…
preprints
2026
置信度 0.74
-
Solitary bee species that use artificial trap nests are important for agricultural crop production and as indicators of habitat quality. Quantifying cavity-nesting solitary bee foraging and nesting behavior is essential for real-time analysis of population num…
preprints
2026
置信度 0.74
-
A bstract Coevolutionary studies aim to characterize associations, such as virus-host relationships, by using phylogenetic distances to quantify the topological concordance between the phylogenies of interacting taxa. However, phylogenetic distances cannot cap…
preprints
2026
置信度 0.74
-
Abstract The global issue of water scarcity and climate change requires highly efficient and intelligent irrigation systems that are capable of optimizing water consumption with high crop productivity. The paper aims to provide a holistic machine learning fram…
preprints
mohammad khalaf
2026
置信度 0.74
-
Abstract* Background Environmental degradation has increased the frequency of agricultural pests, resulting in crop yield losses of 10–30% in tropical and subtropical regions. In the Cañete Valley, Lima, Peru, species such as Spodoptera frugiperda , Liriomyza …
preprints
2026
置信度 0.74
-
Abstract Nanofertilizers (NFs) represent an emerging strategy to improve nutrient use efficiency (NUE) and minimize nutrient losses in agriculture. Recent advances have focused on composite nanofertilizers capable of delivering multiple nutrients simultaneousl…
preprints
2026
置信度 0.74
-
Hydrogel-based functional materials have garnered widespread attentions across various fields due to their unique three-dimensional network microstructure and versatile, tunable properties. However, owing to the absence of a systematic analysis of the applicat…
europepmc
2026
置信度 0.80
-
Abstract In arid and semi-arid regions, low soil fertility is a major challenge for sustainable agricultural production. Although sand is often considered an unsuitable growing medium, it nevertheless possesses interesting physicochemical properties that can b…
preprints
2026
置信度 0.74
-
Abstract In real field scenarios in agriculture, automatic segmentation of plant diseases is an important technique for precision farming. However, it remains exceptionally challenging due to blurred lesions, complex morphological structures, irregular backgro…
preprints
2026
置信度 0.74
-
Abstract Spatial variability of soil properties is a major limitation to precision nutrient management in smallholder farming in Nigeria, where fertilizer is applied uniformly without considering spatial variability within the field. This research examined suc…
preprints
2026
置信度 0.74
-
Abstract Plant diseases affecting leaves and fruits cause substantial yield and economic losses worldwide, particularly in horticultural crops cultivated under diverse agro-climatic conditions. Early and accurate disease diagnosis is essential for effective cr…
preprints
2026
置信度 0.74
-
Abstract Precise dust detection and density estimation are essential for environmental monitoring, precision agriculture and smart sensing fields, where dust accumulation is a key challenge. In this paper, we propose an encoder–decoder framework (DustFormer) t…
preprints
2026
置信度 0.74
-
Abstract Accurate identification of cherry tomatoes is a key issue in the automated picking system of plant factories, which helps improve picking efficiency and reduce production costs. However, when faced with issues such as shape diversity, light interferen…
preprints
2026
置信度 0.74
-
Non-coding regulatory variation drives complex traits, domestication, and evolutionary adaptation, yet the sheep genome lacks high-resolution functional annotation. Here we present SheepEpimap, a multi-tissue regulatory atlas harmonizing 516 CUT&Tag histone mo…
europepmc
2026
置信度 0.80
-
As a significant branch of nanotechnology, carbon-based nanomaterials (CNMs) have garnered extensive attention for their broad application potential in agriculture, attributed to their unique structural and physicochemical properties. They are considered one o…
europepmc
2026
置信度 0.80
-
Modern horticulture faces the dual imperatives of increasing global food production while mitigating the severe environmental and health impacts of conventional chemical pesticides. Biological control agents (BCAs), which utilize beneficial microorganisms, mac…
preprints
2026
置信度 0.74
-
This study investigates the automatic classification of crop phenological stages from low-altitude UAV RGB imagery. The dataset included 11,489 images of five crops: sunflower, rapeseed, soybean, wheat, and barley. The images were annotated using the Biologisc…
preprints
2026
置信度 0.74
-
Abstract Accurate recognition of plant leaf diseases from images is essential for intelligent agriculture and precision crop protection. However, reliable disease identification remains challenging because lesion regions often exhibit subtle visual differences…
preprints
2026
置信度 0.74
-
Abstract IoT-blockchain convergence has the potential to improve smart agriculture by supporting immutable provenance chains, cryptographic data integrity, and decentralized trust mechanisms across agricultural value networks. This systematic review examines i…
europepmc
2026
置信度 0.80
-
Abstract Mild stress is often difficult to distinguish from non-stress signals that may even mask the detection of stress; therefore, early diagnosis and precision grading of plant/microbial stress severity are essential for sustainable precision agriculture t…
preprints
2026
置信度 0.74
-
Abstract Rice disease identification is a critical technique for ensuring yield and quality in precision agriculture. However, complex field backgrounds, subtle lesion features, and similar symptomatic manifestations have led to low accuracy and poor robustnes…
preprints
2026
置信度 0.74
-
Eggplant ( Solanum melongena L.) displays extensive fruit color diversity, in which chlorophyll-related pigmentation contributes to both external appearance and market value. Previous genetic studies identified SmAPRR2 and SmGLK2 as major candidate genes contr…
europepmc
2026
置信度 0.80
-
Abstract Accurate crop disease detection supports precision agriculture, but field-deployable identification remains hindered by complex backgrounds, varying illumination, and heavy deep learning models. This work presents a lightweight visual detection approa…
preprints
2026
置信度 0.74
-
Abstract Climate change poses a significant threat to the sustainability of vegetable oilseed production by negatively impacting crop yields, oil quality, and resource efficiency. These disruptions jeopardize global food security and rural livelihoods. To addr…
europepmc
2026
置信度 0.80
-
Abstract Accurate detection of strawberry fruit, reliable ripeness estimation, and precise localization of the picking point are essential for automated harvesting and yield prediction in smart farming. However, real-world environments introduce significant ch…
europepmc
2026
置信度 0.80
-
Abstract Pedotransfer functions (PTFs) have become indispensable tools in soil science for estimating difficult-to-measure soil properties from readily available data. Traditional PTFs have largely relied on empirical and statistical relationships, which often…
europepmc
2026
置信度 0.80
-
Abstract Soil degradation reduces global crop yield by 8-12% annually, yet assessment remains destructive and slow1 . GNSS-RTK fails under canopy with 0.66 m error2 , while lab coring has 14-day latency 3 . We introduce a paradigm shift: a solar-powered, auton…
preprints
2026
置信度 0.74
-
Integrating precision agriculture (PA, a data-driven agricultural management system) with deep learning (DL) models can effectively support various activities, including yield prediction, crop health monitoring, field task automation, and decision-making. Taki…
preprints
2026
置信度 0.74
-
Abstract Chili is an important economic and nutritional crop with a relatively limited availability of different disease-resistant varieties. Leaf diseases, including those caused by fungi, bacteria, viruses, pests, or nutritional deficiencies, significantly c…
preprints
2026
置信度 0.74
-
Abstract Smartphone GNSS receivers are increasingly relied upon for location-dependent workflows in surveying, citizen science, agriculture, forestry, and field-based environmental data collection. The release of raw GNSS measurements through the Android API i…
preprints
2026
置信度 0.74
-
Abstract This research investigates deployment of AI-based models like ResNet50 to detect crop diseases/pests helped with Remote Sensing and Computer Vision techniques. As agriculture becomes more exacting and efficient, a method for detecting diseases and pes…
preprints
2026
置信度 0.74
-
Abstract 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 A…
preprints
2026
置信度 0.74
-
ABSTRACT 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 prote…
preprints
2026
置信度 0.74
-
Abstract Sea cucumber is a high-value marine commodity widely traded in dried form. Drying and pre-processing methods such as salting, smoking, and roasting produce visible changes in surface color, morphology, texture, and shrinkage that are relevant to produ…
preprints
2026
置信度 0.74
-
Abstract The Internet of Things (IoT) has emerged as a critical enabler of intelligent and autonomous systems, supporting applications across sectors such as agriculture, healthcare, education, and smart infrastructure. However, the increasing connectivity of …
preprints
2026
置信度 0.74
-
Plant disease detection using deep learning is essential for precision agriculture, enabling early and automated crop health monitoring. This study proposes an end-to-end transfer learning pipeline, LeafyVGG-16, for multi-class classification of plant diseases…
preprints
2026
置信度 0.74
-
Abstract To address the problem of fine branch identification and pruning decision for dormant apple trees, this study proposes a 3D point cloud branch recognition method integrating Neural Radiance Fields (NeRF) and the PointNeXt network. This method employs …
preprints
2026
置信度 0.74
-
Abstract Nowadays, estimation & identification of plant diseases (PD) pointedly shows the high impact on agricultural & food productivity. In this paper, develop the Dynamic Deep Learning Methodology-(DDLM) for Plant Disease Classification-(PDC) using the Resi…
europepmc
2026
置信度 0.80
-
Abstract Plant disease is a silent threat to global food security and agriculture; the only way to manage plant diseases effectively is through accurate and timely diagnosis. State-of-the-art manual inspection methods are Labor-Intensive and prone to error. In…
preprints
2026
置信度 0.74
-
Abstract Crop disease is a major worldwide problem in agricultural production and food security, adversely affecting yield and quality for a variety of plant species. To overcome these drawbacks, this research provides a Double Transfer Learning-based Capsule …
preprints
2026
置信度 0.74
-
Plant diseases lead to substantial yield losses and pose a persistent threat to global food security, creating an urgent demand for high-throughput, accurate, scalable, and non-destructive disease monitoring approaches. Remote sensing has emerged as a powerful…
preprints
2026
置信度 0.74
-
Abstract Fusarium Head Blight (FHB) is one of the most destructive fungal diseases in global wheat production. Traditional methods for FHB detection face limitations such as high technical expertise requirements, limited coverage scope, and insufficient timeli…
preprints
2026
置信度 0.74
-
Abstract Purpose The variability in tolerance to water stress among cowpea genotypes requires fast and accurate phenotyping methods. The integration of infrared thermography with artificial intelligence is emerging as a robust solution for large-scale, non-inv…
preprints
2026
置信度 0.74
-
Abstract Tar spot, caused by Phyllachora maydis, has become one of the most damaging foliar diseases of corn in North America. Weather-based forecasting of tar spot severity supports fungicide timing and risk assessment, but it currently relies on on-site weat…
europepmc
2026
置信度 0.80
-
The study addresses the issue of insufficient spatial resolution in remote sensing images for farmland boundary identification in precision agriculture. It proposes an innovative framework based on Real-ESRGAN super-resolution reconstruction and YOLO instance …
preprints
2026
置信度 0.74
-
Abstract Conventional genome-wide association studies (GWAS), which analyze individual single nucleotide polymorphisms (SNPs), have been instrumental in dissecting the genetic basis of quantitative traits. While short-range haplotype variants have recently dem…
preprints
2026
置信度 0.74