Precision Agriculture

Papers
(The median citation count of Precision Agriculture is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration277
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages255
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks147
Recognition of sunflower growth period based on deep learning from UAV remote sensing images139
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture135
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning124
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment86
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard86
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates74
Detection of downy mildew infection in grapevine leaves using field spectroscopy and machine learning72
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting71
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision66
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS60
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis57
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level55
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis53
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops51
Assessing seeding rate management strategies for maize production in South Africa: Insights from the Data Intensive Farm Management Project51
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization49
Improving spatial resolutions of unmanned aerial vehicle hyperspectral images to predict grain yield and protein content in rice48
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV848
Developing an innovative stacking ensemble machine learning and multi-source data fusion-based precision nitrogen management strategy for corn45
Combining 2D image and point cloud deep learning to predict wheat above ground biomass44
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices44
Quantifying corn LAI using machine learning and UAV multispectral imaging44
A coupled atomization-spray drift model as online support tool for boom spray applications43
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits41
A modified crop water stress index (mCWSI) for rainfed crops by accounting spatial variability of leaf temperature41
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests40
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control36
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research36
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation34
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard34
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model34
Repeatability of commercially available visible and near infrared proximal soil sensors34
Data fusion approach for predicting high resolution estimates of crop evapotranspiration33
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite33
Changing perceptions of crop robotics in social media33
Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea32
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications32
Farewells32
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms32
Effects of variable rate irrigation and fertilization under center pivot system on water conservation, fertilizer efficiency, and yield in winter wheat32
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils31
Delineation of management zones dealing with low sampling and outliers30
An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)30
Data-driven agriculture and sustainable farming: friends or foes?29
Early asymptomatic diagnosis of tobacco mosaic virus in fields utilizing hyperspectral imaging technology from unmanned aerial vehicle29
Adding random points to sampling grids to improve the quality of soil fertility maps28
An ultra-lightweight efficient network for image-based plant disease and pest infection detection28
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany28
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images28
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop28
Drone-based assessment of multifunctionality in mixed cropping systems27
Integration of multi-temporal sentinel-1 and sentinel-2 data for paddy rice crop height estimation and uncertainty assessment using quantile regression forests26
Spatial variability in soil characteristics is associated with Vidalia onion pungency and yield26
Expanding the services of cereal/legume cover crop mixtures: From UAV-RGB species-dominance identification to precision-based pre-plant nitrogen decisions26
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)26
Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis26
Conventional management vs. precision viticulture: A comparison of different levels of mechanization and their impact on vineyard profitability25
Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation25
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs25
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning25
Developing a segment anything model-based framework for automated plot extraction24
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning24
Drivers and barriers to precision agriculture adoption in Czech agriculture24
Dense Proximal Sensing of Soil Apparent Electrical Conductivity using Autonomous Field Robotics24
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L23
What drives the adoption of digital technology? An empirical assessment of multiple technology adoption by soybean farmers in São Paulo, Brazil23
Statistical diagnostics for sensing spatial residue cover23
Field-scale digital mapping of top- and subsoil Chernozem properties23
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index23
Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation22
Real-time detection and characterization of trunks and upright branches of pear trees for automatic dormant pruning22
Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes22
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery22
Assessing neglected and underutilised taro crop water status using physiological indicators and UAV multi-modal thermal-multispectral data21
Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards21
Evolution of precision agricultural technologies: a patent network analysis21
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation21
Visible-near infrared and mid infrared spectroscopy for rapid nutrient profiling: a comparative assessment and model transferability using fresh and dry-ground plant tissues in cotton21
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery21
Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenotyping21
Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn21
Field validation of NDVI to identify crop phenological signatures20
Optimizing soybean breeding: High-throughput phenotyping for stink bug resistance and high yields20
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab20
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production20
Robust Spectral Classification Under Sample Type and Seasonal Variability: A Proximal Remote Sensing Approach for Grapevine Cultivar Discrimination20
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region20
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping20
On-Farm variable rate nitrogen management in irrigated potato20
Interannual assessment of intra-vineyard variability through NDVI-based zoning in a mediterranean environment20
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages19
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters19
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy19
A new method to monitor the brown planthopper population size and its damage using canopy temperature of rice plants19
From plot to field: A practical and robust model for rapeseed LAI inversion using a consumer-grade UAV RGB imaging platform18
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield18
Economics and adoption perspectives of site-specific weed management: A review18
Evaluation of the most scalable, accurate and cost trade-offs machine learning framework to estimate the Mediterranean wood-pasture yield18
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground18
Crop yield levels and nutrient requirements in field edge zones—is precision management motivated?18
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones18
Efficient tomato harvesting robot based on image processing and deep learning18
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images18
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures18
Enhancing seasonal leaf area index estimation using PLSR with Sentinel-2 spectral and texture features: the importance of feature engineering and feature selection17
Predicting within-field grain protein content at scale using agronomic and remote sensing variables, and machine learning17
Land surface phenology for the characterization of Mediterranean permanent grasslands17
Potential of handheld low-cost multispectral sensors for decision support in viticulture17
Enhancing the capacity of southeastern extension change agents to facilitate the dissemination of precision farming: a Delphi approach17
UAV-based multispectral and thermal indexes for estimating crop water status and yield on super-high-density olive orchards under deficit irrigation conditions17
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat17
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields17
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)17
Yield sensing technologies for perennial and annual horticultural crops: a review16
A novel method for optimizing regional-scale management zones based on a sustainable environmental index16
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system16
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing16
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany16
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application16
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies16
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring15
Precision agriculture technologies adoption and technical efficiency of soybean farms in São Paulo, Brazil15
A pooling module with multidirectional and multi-scale spatial information and its application on semantic segmentation of leaf lesions15
Can nitrogen input mapping from aerial imagery improve nitrous oxide emissions estimates from grazed grassland?15
Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data15
Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images15
Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico14
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines14
Agricultural machinery navigation coordinate extraction driven by YOLOv8-MCS-based potato seedling recognition14
Metrics of soil degradation by recent filling of permanent gullies: a study case on annual rainfed crops at the Campiña landscape (Spain)14
Proxi-detection to monitor the growth status of wheat in the presence of weeds using low-cost and simple digital tools to track the emergence of stress13
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector13
Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach13
On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties13
A holistic simulation model of solid-set sprinkler irrigation systems for precision irrigation13
Combining mobile proximal soil sensors and a crop model to produce high spatial resolution yield prediction maps13
Structuring wheat research applying UAV-based remote sensing through OCR- and NLP-enabled metadata analysis13
Towards high-spatial-resolution, multi-depth soil water content estimation via SAR data and multimodal deep learning13
Development and evaluation of a low-cost multispectral monitoring system for agricultural applications13
Environmental life cycle assessment of precision nitrogen fertilization in multiple field crops13
Crop robots as potential enablers of economical and biodiversity-smart small-scale farming12
Identifying strawberry appearance quality based on unsupervised deep learning12
Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain: evidence from grain farmers in Spain and Lithuania12
Visible and near-infrared spectroscopy predicted leaf nitrogen contents of potato varieties under different growth and management conditions12
Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming12
Prediction of pasture yield using machine learning-based optical sensing: a systematic review12
The 14th European conference on precision agriculture11
Barriers to adoption of precision agriculture competencies in secondary agriculture education programs: A case study11
Cross-calibration of UAV multispectral sensors for green area index estimation11
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding11
Trends in agricultural technology: a review of US patents11
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought11
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework11
A comparison of precision and conventional irrigation in corn production in Southeast Alabama11
A stochastic frontier approach to nitrogen use and efficiency in soft wheat cultivation11
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study11
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN11
Multispecies weed mapping using deep learning on UAV imagery for SSWM in maize and tomato11
Seasonal interactions between spatial and temporal variability in a steep Barbera vineyard11
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect11
Estimation of corn crop damage caused by wildlife in UAV images11
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields11
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning10
Optimising grassland Above-Ground biomass Estimation for managed grasslands: A Gaussian process regression approach for Sentinel-2 and Planet Scope in Northern Italy10
A lightweight two-stage framework for headland navigation area localization and path extraction in cornfields10
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures10
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning10
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality10
Hyperspectral and multispectral imagery for optimizing nitrogen management and harvest assessment in bread wheat10
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing10
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments10
Influence of spatial resolution on the detection of sprinkler irrigation non-uniformity using high-resolution remote sensing10
Forecasting field rice grain moisture content using Sentinel-2 and weather data10
Multisource data and multitask deep learning for predicting alfalfa growth indicators10
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard9
Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft9
Optimising nitrogen nutrition index (NNI) for maize cultivation with controlled release fertilizer treatments guided by UAV remote sensing technology9
Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale9
Effect of mowing, imaging technique, and annotation method on weed detection in turfgrass using YOLO9
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model9
A new method to compare treatments in unreplicated on-farm experimentation9
AI-Augmented hyperspectral soil sensing: predictive modeling of nitrogen and phosphorus using neural architecture search9
Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation9
Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil9
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors9
Yield potential of site-specific integrated pest and soil nutrient management at different harvest intervals under two commercial cocoa planting systems in Malaysia9
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation9
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks9
Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards9
Identification of pathogens in corn using near-infrared UAV imagery and deep learning9
Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues8
Combining remote sensing, SPAD readings, and laboratory analysis for monitoring olive groves and olive oil quality8
Predicting Faba bean yield and grain quality Pre-Harvest using chemometric modelling8
Online recognition of peanut leaf diseases based on the data balance algorithm and deep transfer learning8
Detection and localization of citrus picking points based on binocular vision8
Stability maps using historical NDVI images on durum wheat to understand the causes of spatial variability8
Instance segmentation of partially occluded Medjool-date fruit bunches for robotic thinning8
Agrosense: Accelerating precision orchard management through an AI-enabled monitoring system8
A neural network approach employed to classify soybean plants using multi-sensor images8
Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm8
Field validation of a variable rate application sprayer equipped with ultrasonic sensors in apple tree plantations8
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning8
Remote and proximal sensing assessment of water status and its correlation with yield on almond orchards in Southeast Spain8
Using mid-infrared spectroscopy as a tool to monitor responses of acidic soil properties to liming: case study from a dryland agricultural soil trial site in South Australia8
Reducing corn yield prediction uncertainty through multi-scale integration of ground, drone, and satellite data8
A comprehensive review of proximal spectral sensing devices and diagnostic equipment for field crop growth monitoring8
Using planetscope imagery to evaluate herbicide efficacy in maize (Zea mays) through post-application weed detection8
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology8
Mapping varieties of farmers’ experience in the digital transformation: a new perspective on transformative dynamics8
Quantity vs. quality: does wheat grain yield or protein content have a greater opportunity for precision management?7
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat7
Self-supervised learning outperforms supervised learning for crop classification by annotating only 5% of images7
Multi-modal fusion and multi-task deep learning for monitoring the growth of film-mulched winter wheat7
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises7
Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing7
Possibilities of using digital technologies in agriculture in areas with high agrarian fragmentation7
Site-specific zone delineation for varying Maize Hybrids based on field variability: a multi-hybrid planting application case study in eastern Nebraska7
Experimental design issues associated with classifications of hyperspectral sensing data7
A comparative study of centrifugal fertilizer spread using generalized additive model, random forest and polynomial regression7
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders7
Land-forming for irrigation (LFI) on a lowland soil protects rice yields while improving irrigation distribution uniformity7
Maize–Soybean Intercropping and Organic Amendments as Sustainable Farming for Higher Productivity, Carbon Sequestration, and Greenhouse Gas Reduction7
Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization7
Crop Monitoring with Multiple Sensors: A Comparative Analysis and Validation of UAV, PlanetScope, and Sentinel-2 in Cherry Tomato7
Growth-model–driven precision fertigation enhances green onion performance in field trials7
Integration of satellite, UAV, soil, and topographic data for assessing corn nitrogen uptake at early vegetative growth stages7
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties6
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability6
Guest editorial for the special issue: ECPA 20216
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran6
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial6
Process improvement of selecting the best interpolator and its parameters to create thematic maps6
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image6
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton6
Identification of table grapes in the natural environment based on an improved Yolov5 and localization of picking points6
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV6
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms6
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review6
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management6
Assessing accuracy of crop water stress inversion of soil water content all day long6
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones6
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning6
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