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• Research on Intelligent Recognition Method of Tobacco Leaf Maturity Based on Deep Learning
  Abstract Automated tobacco maturity assessment is vital for precision agriculture but remains challenging due to complex field conditions and irregular canopy overlapping in unstructured environments. To overcome these limitations, this study proposes an intel…
  preprints 2026 置信度 0.74
• Assessing the Dual Impacts of Artificial Intelligence on Green Growth in Vietnam Using the Analytic Hierarchy Process
  Abstract Artificial intelligence (AI) presents a paradoxical double-edged relationship with sustainable development: while AI applications in precision agriculture and climate monitoring offer substantial green growth opportunities, the energy consumption and …
  preprints 2026 置信度 0.74
• Lightweight Detection of Companion Weeds in Rapeseed Based on an Improved YOLOv13n
  Abstract To solve the problems in accurately and efficiently detecting weeds in rapeseed fields under complex conditions, our research proposes an improved MMB-YOLO model based on YOLOv13n. This model is built upon YOLOv13n and employs the MobileNetV3 light ar…
  preprints 2026 置信度 0.74
• Edge computing and IoT technology for enhancing crop yield inside greenhouse conditions
  Abstract Ensuring sustainable agricultural production and addressing global food security challenges require intelligent technologies capable of continuously monitoring and optimizing crop-growing environments. This study presents an integrated Edge Computing …
  preprints 2026 置信度 0.74
• Uncertainty Quantification of Climate Impact on Tobacco Yield: A Grid-Based Multimodal AI Framework for Dynamic Risk Stratification and Adaptive Management
  Increasing climate uncertainty poses a significant threat to the yield stability of high-value crops such as tobacco (Nicotiana tabacum L.). Existing methods have inherent limitations in quantifying these uncertainties at a fine-grained (sub-plot) level and in…
  preprints 2026 置信度 0.74
• A Multi-Modal Dataset for Automated Phenological Stage Mapping in Actinidia chinensis
  Abstract Phenological monitoring of Actinidia chinensis is critical for optimising operational costs and yield prediction. However, current manual assessment methods are time-consuming, making them impractical for large-scale precision agriculture applications…
  preprints 2026 置信度 0.74
• An integrated artificial intelligence and nano-bio-stimulant seed coating system enhances seed germination and seedling growth under drought stress
  Abstract Climate change intensifies abiotic stresses such as drought and salinity during seed germination, threatening global food security. While nano-bio-stimulant coatings and artificial intelligence for vigor diagnosis have emerged as promising tools, thei…
  preprints 2026 置信度 0.74
• A multiregional image–text dataset and benchmark for vision-language modeling of plant diseases
  Plant diseases remain a major challenge to global food production, and timely, accurate, and scalable detection of plant stress is critical to reducing these losses. Recent advances in digital imaging and artificial intelligence offer unprecedented opportuniti…
  preprints 2026 置信度 0.74
• Sector-Specific Machine Learning Models for Short-Term Sugarcane Yield Forecasting Using NDVI at Plot Level
  Abstract Accurate plot-level sugarcane yield forecasting is essential for optimizing agricultural management, resource allocation, and operational planning. Existing forecasting approaches are often limited by their inability to capture temporal crop dynamics …
  preprints 2026 置信度 0.74
• Hybrid Spatio-temporal Deep Learning Framework for Early Prediction of Arecanut Fruit Rot Disease
  Abstract Accurate early prediction of arecanut fruit rot disease remains difficult because disease outbreaks are governed by complex interactions among meteorological conditions, seasonal variability, and delayed pathogen responses. The progression of the dise…
  preprints 2026 置信度 0.74
• Computational Viscoelastoplastic DEM Modeling and Simulation of Wheat Stubble-Soil Mechanics: Integrated Adhesion Model, Hybrid Calibration and Field Validation for Precision No-Till Planter Optimization
  Abstract Traditional rigid discrete element method (DEM) models fail to accurately characterize the viscoelastoplastic deformation and fracture of wheat stubble under mechanical loading. To address this limitation, a bonded viscoelastoplastic DEM framework was…
  preprints 2026 置信度 0.74
• An Integrated YOLOv7–Fuzzy Reasoning Framework for Interpretable and Robust Cantaloupe (Cucumis melo) Growth-Stage Assessment
  Abstract Background Precision agriculture increasingly relies on computer vision systems to monitor crop growth; however, most existing approaches remain limited to frame-level object detection and do not support agronomic decision-making under uncertainty. To…
  preprints 2026 置信度 0.74
• Continuous monitoring of plant transpiration dynamics with a leaf-mounted sensor across environmental conditions
  Transpiration plays a central role in plant water relations and strongly influences plant growth. Continuous monitoring is essential for understanding responses to environmental conditions and improving water management in both natural and agricultural systems…
  preprints 2026 置信度 0.74
• Artificial Intelligence enabled robotics and automation in modern agriculture
  Abstract Agriculture is a necessary part of enduring human existence by offering food as well as occupation, notably by inducing the market and nature. Robotics in agriculture improves efficacy and production by automating tasks such as planting, harvesting, a…
  europepmc 2026 置信度 0.80
• Deep Learning for Tomato Disease Detection and Severity Assessment: A Systematic Analytical Review of Methods, Datasets, and Challenges
  Abstract Tomato diseases significantly affect crop productivity and food security, necessitating accurate and timely detection methods. This paper presents a systematic and analytical review of deep learning approaches for tomato disease detection and severity…
  preprints 2026 置信度 0.74
•  A Multiclass Dataset for Real-Time Detection of Fresh and Defective Vegetables Using Deep Learning
  Abstract In real-world market environments, publicly available vegetable datasets rarely include both fresh and defective samples, as most existing collections are captured under controlled laboratory settings. This lack of naturally collected data limits mode…
  preprints 2026 置信度 0.74
• Comparing Unsupervised and Supervised Classifiers on Multispectral UAV Data to Detect Crop Water-Nitrogen Co-Limitation
  The high spatio-temporal resolution of UAV sensors requires robust analytical tools to classify subtle agroecosystem variations. This study compared unsupervised, supervised machine learning (ML), and deep learning (U‑Net) classifiers to identify nitrogen (N) …
  preprints 2026 置信度 0.74
• DigitalPedon: A Novel Digital Twin Framework for Soil Profile Monitoring and Global Soil Data Interoperability
  The Digital Pedon (DP) is an open-source Python framework that represents a soil profile as a continuously updated digital twin, bridging three persistent gaps in soil science: disconnected models and observations, cross-database interoperability, and the infe…
  preprints 2026 置信度 0.74
• Novel Swarm Intelligence Optimized Quantum CNN Framework for Accurate Multi Class Soil Image Classification
  Abstract Soil image classification aids precision agriculture, but current methods often fail in multi-class identification due to poor features and parameter tuning. This research presents a framework integrating Deep Learning (DL) and swarm intelligence opti…
  preprints 2026 置信度 0.74
• Optimal Modeling and County-Level Applications for the Spa-tial Prediction of Soil Organic Matter: A Case Study of Thirteen Counties in the Yellow River Basin
  Abstract Soil organic matter (SOM) is a key indicator for assessing soil health and the carbon se-questration potential, and its precise spatial prediction is vital for ensuring sustainable agricultural development. Machine learning has emerged as a core tool …
  preprints 2026 置信度 0.74
• Five-Meter Accuracy 3D Maps and Generative AI Illuminate Ancient Japan 1,800 Years Ago: Yamatai Queendom and First Emperor Jimmu
  This study 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 using a Geographic Information System (GIS)–based approac…
  preprints 2026 置信度 0.74
• Predicting Pest and Disease Occurrence Using Synthetic Data and Explainable Machine Learning Methods
  Abstract Prediction of occurrence for pests and diseases is an essential problem for agriculture, as such events have a huge influence on the productivity of the crop with regard to the security of food production. Traditional methods lack datasets and tend no…
  preprints 2026 置信度 0.74
• Enabling the prediction of phage receptor specificity from genome data
  Predicting which receptor a phage binds to from genome sequence alone has remained an intractable challenge, principally because the experimental phenotypic data required to train and validate predictive models have not been available at sufficient scale. Here…
  preprints 2026 置信度 0.74
• Hybrid Explainable DeiT-Based Framework for Plant Disease Classification and Severity Estimation
  Abstract The detection of plant diseases is essential to the preservation of agricultural productivity and food security, yet the existing technologies are likely to have low interpretability and low generalization in practice. This work suggests a hybrid deep…
  preprints 2026 置信度 0.74
• Machine Learning Algorithms for Spatial Interpolation of Crop Yield at the Field Scale
  Abstract Crop mapping is one of the most frequent uses of yield monitor data in precision agriculture. Processing such data requires spatial interpolation to predict yields at unsampled locations. Ordinary kriging (OK) is the geostatistical interpolation metho…
  preprints 2026 置信度 0.74
• Precision weeding in sugar beet farming: UAV monitoring of robotic systems
  Weeding robots are revolutionizing sugar beet farming. The performance of these systems is typically evaluated based on weed control efficacy (WCE), crop damage, and herbicide savings. While robots demonstrate WCE comparable to conventional methods, optimizing…
  crossref A. Barreto, D. Koops, T. Fritsch, A. Ungru 等 2025-08-18T08:41:08Z 置信度 0.70
• Developments in precision tillage systems
  This chapter addresses the advances in technology that have been aimed at improving tillage systems which should ultimately reduce the time, energy and cost of field operations to help enhance the soil environment and benefit crop production. It highlights the…
  crossref Richard J. Godwin, Mehari Z. Tekeste 2025-11-24T13:16:27Z 置信度 0.70
• Modeling local terrain attributes in landscape-scale site-specific data using spatially lagged independent variable via cross regression
  Analysis methods for landscape-scale site-specific agricultural datasets have been adapted from a wide range of quantitative disciplines. Due to spatial effects expected at landscape scales with respect to yield affecting factors, inference from aspatial analy…
  crossref Terry Griffin, James Lowenberg-DeBoer 2019-11-28T16:03:04Z 置信度 0.70
• Spatial variation in tree characteristics and yield in a pear orchard
  We examined the spatial structure of fruit yield, tree size, vigor, and soil properties for an established pear orchard using Moran's I, geographically weighted regression (GWR) and variogram analysis to determine potential scales of the factors affecting spat…
  crossref Eileen M. Perry, Raymond J. Dezzani, Clark F. Seavert, Francis J. Pierce 2009-03-20T13:06:19Z 置信度 0.70
• Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures
  In field weed detection tasks, achieving accurate identification of crops and weeds is the primary target. However, since small target weeds among crops are not easily detected, this undoubtedly increases the difficulty of detection. In order to solve this pro…
  crossref Haoyu Wu, Yongshang Wang, Pengfei Zhao, Mengbo Qian 2023-06-12T07:02:27Z 置信度 0.70
• Devices to detect red palm weevil infestation on palm species
  The date palm (Phoenix dactylifera L.) and other palm species have recently been threatened by the red palm weevil (RPW) Rhynchophorus ferrugineus Olivier, which is very difficult to be detected at early stage. This research tested non invasive approaches to d…
  crossref Pugliese Massimo, Rettori Andrea Alberto, Martinis Roberto, Al-Rohily Khalid 等 2018-04-20T06:40:15Z 置信度 0.70
• Estimation of corn crop damage caused by wildlife in UAV images
  Abstract Purpose This paper proposes a low-cost and low-effort solution for determining the area of corn crops damaged by the wildlife facility utilising field images collected by an unmanned aerial vehicle (UAV). The proposed solution allows for the determina…
  crossref Przemysław Aszkowski, Marek Kraft, Pawel Drapikowski, Dominik Pieczyński 2024-09-03T07:02:18Z 置信度 0.70
• Influencing the Success of Precision Farming Technology Adoption—A Model-Based Investigation of Economic Success Factors in Small-Scale Agriculture
  Even more than 30 years after the introduction of precision farming technologies and studies of their benefits in terms of productivity gains and environmental improvements, adoption rates, especially for variable-rate technologies, are very low. In particular…
  crossref Johannes Munz, Heinrich Schuele 2022-10-26T07:17:48Z 置信度 0.70
• Evaluation of an on-the-go technology for soil pH mapping
  Since conventional sampling and laboratory soil analysis do not provide a cost effective capability for obtaining geo-referenced measurements with adequate frequency, different on-the-go sensing techniques have been attempted. One such recently commercialized …
  crossref Viacheslav I. Adamchuk, Eric D. Lund, Todd M. Reed, Richard B. Ferguson 2007-06-05T16:36:54Z 置信度 0.70
• Multi-temporal yield pattern analysis method for deriving yield zones in crop production systems
  Abstract Easy-to-use tools using modern data analysis techniques are needed to handle spatio-temporal agri-data. This research proposes a novel pattern recognition-based method, Multi-temporal Yield Pattern Analysis (MYPA), to reveal long-term (> 10 years) …
  crossref Gerald Blasch, Zhenhai Li, James A. Taylor 2020-05-06T17:02:46Z 置信度 0.70
• Assessing inequality in corn plant spacing and yield using Lorenz curves and the Gini coefficient
  crossref Bhaskar Aryal, Ajay Sharda, Andres Patrignani, Trevor Hefley 等 2026-02-12T10:50:35Z 置信度 0.70
• RFID tags for identifying and verifying agrochemicals in food traceability systems
  The objective of this paper is to identify what data should be stored in an automatic recording system to trace the use of agrochemicals. RFID tags are proposed as the most appropriate storage systems. The essential information to store on an RFID tag is as fo…
  crossref Sven Peets, C. P. Gasparin, D. W. K. Blackburn, R. J. Godwin 2009-02-04T18:23:38Z 置信度 0.70
• Prediction of protein content in malting barley using proximal and remote sensing
  This paper examines the prediction of within-field differences in protein in malting barley at a late growth stage using the Yara N-Sensor and prediction of its regional variation with medium resolution satellite images. Field predictions of protein in the cro…
  crossref Mats Söderström, Thomas Börjesson, Carl-Göran Pettersson, Knud Nissen 等 2010-06-21T00:00:19Z 置信度 0.70
• Development of a Machine vision system for apple bud thinning in precision crop load management
  Thinning is a critical practice in apple orchard management, directly influencing crop load and fruit quality. To assist automated crop load management, a machine vision system for apple bud detection was developed to be integrated with robotic platforms. The …
  crossref Kittiphum Pawikhum, Yanqiu Yang, Long He, Paul Heinemann 2025-05-04T23:36:16Z 置信度 0.70
• The Potential Contributions of Precision Fanning to IPM
  Based on a review of site specific and precision farming literature, a relatively small number of public and private R&D efforts are focusing on pest control. This made an informal survey of the leading precision farming researchers and agri-businesses tractab…
  crossref S. Daberkow, L. Christensen 2013-08-12T12:47:42Z 置信度 0.70
• Prediction of yield and the contribution of legumes in legume-grass mixtures using field spectrometry
  Productivity and botanical composition of legume-grass swards in rotation systems are important factors for successful arable farming in both organic and conventional farming systems. As these attributes vary considerably within a field, a non-destructive meth…
  crossref Sonja Biewer, Stefan Erasmi, Thomas Fricke, Michael Wachendorf 2008-09-09T18:28:21Z 置信度 0.70
• Using low-cost geophysical survey to map soil properties and delineate management zones on grazed permanent pastures
  Usually, soils utilised for livestock production have similar high spatial variability as those for agricultural or forest use. As a consequence, it is necessary to determine the spatial patterns of the main soil properties as the first stage to implement site…
  crossref Francisco J. Moral, João M. Serrano 2019-01-05T14:44:07Z 置信度 0.70
• Field Implementation of Precision Livestock Farming: Selected Proceedings from the 2nd U.S. Precision Livestock Farming Conference
  Precision Livestock Farming (PLF) involves the real-time monitoring of images, sounds, and other biological, physiological, and environmental parameters to assess and improve animal health and welfare within intensive and extensive production systems [...]
  crossref Yang Zhao, Brett C. Ramirez, Janice M. Siegford, Hao Gan 等 2024-04-08T03:11:33Z 置信度 0.70
• Development of a small agricultural field inspection vehicle
  Weed mapping is a valuable tool when it comes to optimizing the use of resources in managing the attempts made to control weeds. Weed mapping has traditionally been done by using random sampling techniques, amongst others, with a team of experts working in the…
  crossref R. Gottschalk, X.P. Burgos-Artizzu, A. Ribeiro 2023-11-08T02:34:31Z 置信度 0.70
• Precision agriculture monitoring framework based on WSN
  Wireless Sensor Networks (WSNs) are nowadays widely used in building decision support systems for better monitoring. One of the most interesting fields having an increasing need in decision support systems is agriculture. Inefficient and wasteful methods of ag…
  crossref Yassine Jiber, Hamid Harroud, Ahmed Karmouch 2011-09-12T13:59:27Z 置信度 0.70
• A Discrete Sliding Mode Control Strategy for Precision Agriculture Irrigation Management
  Control theory has been showing progress in its evolving exercise in precision agriculture for the search for optimized irrigation schemes regarding water saving. Nevertheless, implementations have been limited to on-off and PID (proportional-integral-derivati…
  crossref Leonardo D. Garcia, Camilo Lozoya, Herman Castañeda, Antonio Favela-Contreras 2024-08-19T21:18:20Z 置信度 0.70
• Agri-Photonics in Precision Agriculture
  Optical and photonic technologies are adopted to measure crop health and agri-food quality using remote sensing data in the visible, near-infrared, and thermal-infrared wavebands. Agri-photonics represents a new branch of research including electronic and opto…
  crossref Alessandro Massaro, Nicola Savino, Angelo Galiano 2020-09-22T23:40:53Z 置信度 0.70
• Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach
  In recent years, convolutional neural network (CNN) models and deep learning techniques have gained significant attention for plant disease detection. Despite advances, achieving high accuracy across diverse classes remains challenging. Existing CNN models hav…
  crossref 2024-07-16T03:30:20Z 置信度 0.70
• Intelligent Agricultural Machinery and Field Robots
  This chapter discusses classification of intelligent machines and presents examples of autonomous vehicles and field robots. It also discusses perception sensors and their selection for agricultural applications primarily in vehicle navigation and vehicle safe…
  crossref Shufeng Han, Brian L. Steward, Lie Tang 2015-10-07T17:35:57Z 置信度 0.70
• Detecting spatial variation in wild blueberry water stress using UAV-borne thermal imagery: distinct temporal and reference temperature effects
  The use of thermal-based crop water stress index (CWSI) has been studied in many crops in semi-arid regions and found as an effective method in detecting real-time crop water status of commercial fields remotely and non-destructively. However, to our knowledge…
  crossref Kallol Barai, Matthew Wallhead, Bruce Hall, Parinaz Rahimzadeh-Bajgiran 等 2025-01-28T07:56:24Z 置信度 0.70
• Precision Agriculture for Indian Farms using AIOT
  This research explores the transformative potential of precision agriculture, a fusion of Artificial Intelligence (AI) and the Internet of Things (Io'T), to address the burgeoning global demand for sustainable food production. The study encompasses various fac…
  crossref Anurag Jumar Jha, Ashish Kumar Jha, Sujala D. Shetty 2024-05-14T17:27:30Z 置信度 0.70
• DEVELOPMENT OF A PROCESS USING PRECISION AGRICULTURE TECHNIQUES FOR SIMULTANEOUS APPLICATION OF FERTILIZER IN VARIABLE RATE SYSTEM
  Abstract. The objective of this study was to evaluate a control system for variable rate fertilizers distribution, for coffee, simultaneously applying two products. Two types of tests were performed: transversal deposition with tarps, for quantifying the varia…
  crossref 2015-12-14T16:45:12Z 置信度 0.70
• Study on Fire Blight Forecasting Using fixed-Wing Drone
  crossref 2020-11-04T06:40:01Z 置信度 0.70
• Evolution of agricultural machinery: the third way
  The innovations in agricultural equipments have always been an important stimulator to the development of agriculture. For several years, we were witnesses of an irremediable increase in the size of agricultural machines. If this ‘first way’, encouraged by far…
  crossref M. Berducat, C. Debain, R. Lenain, C. Cariou 2023-11-08T02:34:31Z 置信度 0.70
• Wheat yield forecast using contextual spatial information
  In recent years, the sources of data on farming practices have increased exponentially. On-the-go fuel consumption, grain moisture and yield per hectare are now easily stored by farmers. Fine resolution (5 m) wheat yield forecast is presented here using two ma…
  crossref M. Fajardo, B. Whelan, P. Filippi, T. Bishop 2019-07-08T04:15:34Z 置信度 0.70
• Performance Test of Agricultural By-product Collecting Monitoring System
  crossref 2022-04-28T06:40:03Z 置信度 0.70
• Selecting the optimum locations for soil investigations
  A site selection algorithm has been developed/optimised, that identifies measurement sites which are spatially representative of the entire survey area as well as suitable from a statistical point of view. Electrical conductivity data (ECa) are measured by ele…
  crossref Hilde Monika Zimmermann, Matthias Plöchl, Christoph Luckhaus, Horst Domsch 2024-03-29T00:01:30Z 置信度 0.70
• Farmer-led on-farm experimentation enhanced with digital agronomy
  Agriculture puts pressure on ecosystems, and practices need to evolve towards a more sustainable way of producing food. Farmers are changing their practices by conducting on-farm experimentation with their own objectives and experimental designs. While endogen…
  crossref L. Longchamps, P. Lanza, A.N. Cambouris 2023-07-02T03:04:28Z 置信度 0.70
• Advanced Crop Recommendation: AI Approaches for Precision Agriculture
  Abstract Agriculture​‍​‌‍​‍‌​‍​‌‍​‍‌ serves as an instance where data-driven technologies are employed to tackle issues that arise from soil degradation, climate change, and incorrect crop selection, etc. Through accurate crop prediction, farmers can select th…
  europepmc Deepa Hugar, Basavaraj Madagouda, Sumanth V, Shivanand Patil 等 2026 置信度 0.80
• Retracted: Computer and Electronics in Precision Agriculture
  The agriculture sector is experiencing major problems. Possibly the most crucial is to increase food production while using less resources, such as water, fertilisers, and arable land. Farmers require specific technical instruments to accomplish this aim now m…
  crossref Dharam Buddhi, Abhishek Joshi 2022-12-13T19:43:12Z 置信度 0.70
• Automated weed detection in winter wheat by using artificial neural networks
  A weed detection system was developed that consisted of artificial neural networks. A CCD camera acquired digital colour images of weeds. To recognize weeds more effectively than by discriminant analysis, an artificial neural network was used. In this paper ne…
  crossref A. Kluge, H. Nordmeyer 2023-11-08T02:34:31Z 置信度 0.70
• Precision Agriculture as a Sustainable Farming Enabler in Developing Countries
  crossref Pradeep Rajan 2026-05-23T18:15:37Z 置信度 0.70
• Remote Sensing Application for Precision Agriculture
  crossref 2023-08-11T08:44:25Z 置信度 0.70
• AI in Agriculture: Precision Farming and Crop Monitoring
  This research delves into the application of artificial intelligence in precision farming and crop monitoring, focusing on four AI algorithms: “Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Networks (CNN), and K-Nearest Neighbors (KNN)…
  crossref Kamatchi Sundravadivelu 2025-01-31T08:05:50Z 置信度 0.70
• AI-Driven Predictive Analytics in Precision Agriculture
  The rapid advancement of artificial intelligence (AI) and big data analytics has revolutionized agricultural practices by enabling precise, data-driven decision-making. Precision agriculture, a paradigm that leverages technology to optimize farming processes, …
  crossref A Renuka 2025-10-22T06:29:07Z 置信度 0.70
• Internet of Things — Propagation modelling for precision agriculture applications
  The ubiquitous deployment of IEEE 802.11 based Wireless Mesh Networks (WMNs) has facilitated non-real-time applications effectively to date. However the advancement in IEEE 802.15.4 Wireless Sensor Network (WSN) technology has dramatically increased the volume…
  crossref Jacqueline Stewart, Robert Stewart, Sean Kennedy 2017-06-08T16:42:34Z 置信度 0.70
• AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
  crossref Vaishnavi Biradar 2026-03-18T04:45:22Z 置信度 0.70
• The 1st International Precision Agriculture Pakistan Conference 2022 (PAPC 2022)—Change the Culture of Agriculture
  The first international Precision Agriculture Pakistan Conference (PAPC), in 2022, was held in person at PMAS-Arid Agriculture University Rawalpindi (PMAS-AAUR), Pakistan. The PAPC provided opportunities to local researchers to collaborate with national and in…
  crossref 2023-05-02T07:53:31Z 置信度 0.70
• Physical and strength properties of radish and Chinese cabbage
  crossref 2022-06-08T00:38:40Z 置信度 0.70
• Rice plant disease detection and classification framework using deep learning for precision agriculture (2020)
  The rapid rise in India's population necessitates an equally quick rise in agricultural production. In India, rice is the staple food crop. However, disease-causing organisms are notoriously easy to introduce to rice crops, resulting in lower yields. Even thou…
  crossref 2023-06-26T05:29:41Z 置信度 0.70
• Deep Learning Based Soil Moisture Downscaling Framework for Precision Agriculture in Data-Scarce Regions
  High-resolution soil moisture (SM) information is critical for irrigation decision-making, crop modelling, flood and drought prediction, and water resources management. However, satellite products only provide coarse-resolution data that cannot capture farm-sc…
  crossref Usman Hyder Patoo, Chetan Arora, Subimal Ghosh 2026-03-13T19:18:36Z 置信度 0.70
• Role of IoT in Smart Precision Agriculture
  crossref Kumar Gaurav Suman, Dilip Kumar 2023-08-23T10:02:16Z 置信度 0.70
• CHITOSAN IS AN EFFICIENT TOOL FOR PRECISION AGRICULTURE AND SUSTAINABILITY: A REVIEW
  Chitosan, a biopolymer composed of D-glucosamine and N-acetyl-D-glucosamine units linked by 1,4glycosidic bonds, has garnered significant attention due to its versatile applications in agriculture and various industries.Its solubility in acidic environments, p…
  crossref 2025-06-17T12:25:26Z 置信度 0.70
• Legal constraints on technologies
  The legal constraints of two important technologies for sustainable precision agriculture are presented: unmanned aircraft and artificial intelligence. Unmanned aircraft, or drones, are a rapidly developing technology. By 2035, it is estimated that in the EU, …
  crossref Stefanos Nastis 2020-11-19T15:13:02Z 置信度 0.70
• Precision Farming: An Introduction
  Traditional arable management practice has tended to manage fields uniformly and has tended to ignore the inherent spatial variability found on most farms. This has been exacerbated by the increase of field size due to pressures from mechanization. Precision f…
  crossref Simon Blackmore 2017-07-06T08:48:41Z 置信度 0.70
• A Scalable IoT and Fuzzy Logic based approach for Precision Agriculture in Greenhouses
  To meet the increasing demand for high-quality agricultural products, greenhouses offer a controlled environment that optimizes crop growth. This research aims to design an Internet of Things (IoT) based fuzzy logic control system that delivers optimal greenho…
  crossref Ashish Ranjan Dash, Rajesh Mishra, Anup Kumar Panda 2026-08-01T00:44:51Z 置信度 0.70
• Using high-precision farming systems in the agricultural sector - the path to digital agriculture
  crossref Yury Zubarev, Denis Fomin, Nikolai Zubarev 2019-06-12T09:21:52Z 置信度 0.70
• Segmentation of soil surface roughness features using a hybrid deep learning and geostatistical framework: a multi-scale approach for precision agriculture applications
  The soil surface roughness (SSR) is one of the most important parameters that affect the surface hydrology, soil erosion processes, radar backscatter characteristics and tillage management in precision agriculture. Multi-modal remote sensing imagery segmentati…
  crossref Ranjana Meshram Damle 2026-07-23T08:39:57Z 置信度 0.70
• Co-kriging when the soil and ancillary data are not co-located
  Data such as digitized aerial photographs, electrical conductivity and yield are intensive and relatively inexpensive to obtain compared with collecting soil data by sampling. If such ancillary data are co-regionalized with the soil data they should be suitabl…
  crossref R. Kerry, M.A. Oliver 2024-03-29T00:01:30Z 置信度 0.70
• The effects of spatial structure on accuracy of map and performance of interpolation methods
  The objective of this study was to evaluate the effect of the strength of spatial correlation in the data on the performance of (i) grid soil sampling of different sampling density and (ii) two interpolation procedures, ordinary point kriging and optimal inver…
  crossref A. Kravchenko 2024-03-29T00:01:30Z 置信度 0.70
• Yield Estimation and Visualization Solution for Precision Agriculture
  We present an end-to-end smart harvesting solution for precision agriculture. Our proposed pipeline begins with yield estimation that is done through the use of object detection and tracking to count fruit within a video. We use and train You Only Look Once mo…
  crossref Youssef Osman, Reed Dennis, Khalid Elgazzar 2021-10-10T21:37:49Z 置信度 0.70
• Optimal position of thermal fog nozzles for multicopter drones
  crossref 2021-12-21T06:50:31Z 置信度 0.70
• YOLO-BASED PLANT DETECTION AND COUNTING FOR PRECISION AGRICULTURE
  In the realm of agricultural applications, the imperative task of identifying and quantifying plants within plot photographs stands as a linchpin for endeavors such as yield estimation, crop monitoring, and resource optimization.In the present study, the YOLO …
  crossref 2024-02-09T18:11:37Z 置信度 0.70
• Study on overturning angle of self-propelled pulling-type radish harvester
  crossref 2019-12-30T07:05:42Z 置信度 0.70
• Quality assessment of agricultural positioning and communication systems
  The successful use of precision farming technology for automated data acquisition, site specific farming, fleet management and field robots makes it necessary to have a detailed knowledge of the quality of all equipment utilised. To acquire knowledge on this q…
  crossref M. Ehrl, W. Stempfhuber, H. Auernhammer, M. Demmel 2024-03-29T00:01:30Z 置信度 0.70
• Future GNSS - Farmers navigate towards trusted farming
  Nowadays, European farmers have to comply with numerous rules and directives concerning a diverse range of production issues. The EU requires farmers more and more to comply with legislative rules concerning farm management that focus on sustainability and env…
  crossref R.M. Lokers, A. Krause, T. van der Wal 2023-11-08T02:34:31Z 置信度 0.70
• The Role of Precision Agriculture in Soil Water Conservation & Management
  Precision Agriculture, a transformative and globally acclaimed approach, holds the potential to address the growing challenges of soil and water resource management in agriculture. By integrating advanced technologies and innovative practices, Precision Agricu…
  crossref 2025-05-12T21:47:11Z 置信度 0.70
• Case Study on Reinforcement Learning‐Based Decentralized Approach for Precision Agriculture and Environmental Monitoring
  Precision agriculture and environmental monitoring are necessary to handle the world's resource optimization and sustainability challenges. In this chapter, reinforcement learning (RL) methods are integrated into the development of intelligent systems that can…
  crossref S. Vijayprasath, R. Mohan Raj, R. Sathesh Raaj, Ashok Manoharan 2026-04-24T21:18:59Z 置信度 0.70
• 49. Testing the potential of a new low-cost multispectral sensor for decision support in agriculture
  crossref S. Moinard, G. Brunel, A. Ducanchez, T. Crestey 等 2021-06-25T06:54:58Z 置信度 0.70
• Seeding Precision Test Based on Machine Vision
  A testing approach for seeding precision was developed in this paper, which is an integratedtechnology of machine vision, pattern recognition, and automatic control. A machine vision based test-bedwas developed for performance tests of grain seeders and a corr…
  crossref Wei Li, Jiachun Lin 2013-11-14T12:59:51Z 置信度 0.70
• Precision Agriculture Technologiesin Organic Farming Systems of Visegrad Group Countries: Trends and Perspectives
  crossref Bojana Petrovic, Yevhen Kononets Kononets, László Csambalik Csambalik 2024-10-09T15:27:12Z 置信度 0.70
• Environment based Precision Agriculture
  Agriculture, farming or animal husbandry is a vital occupation, since the history of mankind. The name agriculture represents all entities that came under the linear sequence of links of food chain for human beings. India is in an agricultural era, which is ea…
  crossref Dr. Rohini. v, Dr. V. B. Kirubanand 2021-02-27T07:38:10Z 置信度 0.70
• Heuristic image processing-based path detection in citrus orchard
  crossref 2020-08-12T08:39:19Z 置信度 0.70
• Precision Agriculture Through ARVI-Based Segmentation of Agave Weber Using UAV Multispectral Imaging
  crossref Diego Villatoro, Gildardo Sanchez-Ante, Luis Falcon-Morales 2024-03-13T02:18:56Z 置信度 0.70
• Stochastic simulation of maize productivity: spatial and temporal uncertainty
  There is an emerging interest in evaluating the uncertainty of agricultural production to enable the production process and decision making guidance. The main objective of this work was to estimate the spatial and temporal maize yield uncertainty using stochas…
  crossref A.R.L. Grifo, J. Marques da Silva 2023-11-08T02:34:31Z 置信度 0.70
• Role of Precision Agriculture in Sericulture: A Review
  Sericulture is a specialized agro-based industry that depends heavily on the cultivation of mulberry and the rearing of silkworms. Maintaining consistent leaf quality and optimal rearing conditions is essential for improving cocoon production and silk quality.…
  crossref Sapna Devi, Neha Sudan 2026-04-14T11:55:26Z 置信度 0.70
• Using sensors to assess herbicide stress in sugar beet
  Sensor technologies can be of assistance in agriculture, providing safer yields while reducing costs. Weed management in sugar beets is mainly based on herbicides, which can also injure the crop. Different sensor technologies were used to identify and possibly…
  crossref J. Roeb, G.G. Peteinatos, R. Gerhards 2015-06-22T11:51:50Z 置信度 0.70
• Applying Machine Learning to Extract New Knowledge in Precision Agriculture Applications
  We are considering a facet of precision agriculture that concentrates on plant-driven crop management. By monitoring soil, crop and climate in a field and providing a decision support system that is able to learn, it is possible to deliver treatments, such as …
  crossref Savvas Dimitriadis, Christos Goumopoulos 2008-09-16T16:24:26Z 置信度 0.70
• Role of IoT in Smart Precision Agriculture
  crossref Kumar Gaurav Suman, Dilip Kumar 2022-11-04T11:08:06Z 置信度 0.70
• Performance analysis of the agricultural turner with DEM analysis
  Agricultural turner has become an essential task in livestock farms for environmental improvement such as mushroom culture medium mixing, as well as odor and gas generation reduction in livestock farms.Although various shapes of turner are sold, the reliabilit…
  crossref 2023-01-18T09:38:27Z 置信度 0.70