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 2022-08-01 to 2026-08-01.)
ArticleCitations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration301
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages159
Recognition of sunflower growth period based on deep learning from UAV remote sensing images149
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture112
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates93
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks84
Detection of downy mildew infection in grapevine leaves using field spectroscopy and machine learning74
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting72
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment64
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard61
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning59
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS59
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis57
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision57
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops54
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV852
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization52
Improving spatial resolutions of unmanned aerial vehicle hyperspectral images to predict grain yield and protein content in rice52
A modified crop water stress index (mCWSI) for rainfed crops by accounting spatial variability of leaf temperature47
Developing an innovative stacking ensemble machine learning and multi-source data fusion-based precision nitrogen management strategy for corn46
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level45
Quantifying corn LAI using machine learning and UAV multispectral imaging42
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices40
Assessing seeding rate management strategies for maize production in South Africa: Insights from the Data Intensive Farm Management Project39
Combining 2D image and point cloud deep learning to predict wheat above ground biomass39
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits38
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis38
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests38
Prediction of foliar nutrient concentrations and yield of avocado using on-farm and laboratory based hyperspectral imaging37
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control36
Repeatability of commercially available visible and near infrared proximal soil sensors35
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model35
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite35
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research35
Data fusion approach for predicting high resolution estimates of crop evapotranspiration34
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms34
Changing perceptions of crop robotics in social media34
Effects of variable rate irrigation and fertilization under center pivot system on water conservation, fertilizer efficiency, and yield in winter wheat33
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard33
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation32
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils32
Farewells32
An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)32
Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea32
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany31
Early asymptomatic diagnosis of tobacco mosaic virus in fields utilizing hyperspectral imaging technology from unmanned aerial vehicle31
Delineation of management zones dealing with low sampling and outliers31
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop31
Data-driven agriculture and sustainable farming: friends or foes?30
An ultra-lightweight efficient network for image-based plant disease and pest infection detection30
Adding random points to sampling grids to improve the quality of soil fertility maps30
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning29
Field-scale digital mapping of top- and subsoil Chernozem properties29
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images29
Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis28
Integration of multi-temporal sentinel-1 and sentinel-2 data for paddy rice crop height estimation and uncertainty assessment using quantile regression forests27
Spatial variability in soil characteristics is associated with Vidalia onion pungency and yield27
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)27
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning27
Dense Proximal Sensing of Soil Apparent Electrical Conductivity using Autonomous Field Robotics26
Expanding the services of cereal/legume cover crop mixtures: From UAV-RGB species-dominance identification to precision-based pre-plant nitrogen decisions26
Drone-based assessment of multifunctionality in mixed cropping systems26
Developing a segment anything model-based framework for automated plot extraction26
Combined effects of planter speed, downforce setting, and row unit location over corn seed placement25
What drives the adoption of digital technology? An empirical assessment of multiple technology adoption by soybean farmers in São Paulo, Brazil25
Conventional management vs. precision viticulture: A comparison of different levels of mechanization and their impact on vineyard profitability25
Drivers and barriers to precision agriculture adoption in Czech agriculture25
Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation25
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery24
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index24
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs24
Assessing deep learning models for regional wheat yield prediction using Sentinel‑2 and environmental data23
Evolution of precision agricultural technologies: a patent network analysis23
Statistical diagnostics for sensing spatial residue cover23
Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenotyping23
Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards23
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery23
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L23
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
Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn22
Assessing neglected and underutilised taro crop water status using physiological indicators and UAV multi-modal thermal-multispectral data22
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 cotton22
On-Farm variable rate nitrogen management in irrigated potato21
Interannual assessment of intra-vineyard variability through NDVI-based zoning in a mediterranean environment21
Robust Spectral Classification Under Sample Type and Seasonal Variability: A Proximal Remote Sensing Approach for Grapevine Cultivar Discrimination21
Optimizing soybean breeding: High-throughput phenotyping for stink bug resistance and high yields21
Field validation of NDVI to identify crop phenological signatures21
From plot to field: A practical and robust model for rapeseed LAI inversion using a consumer-grade UAV RGB imaging platform20
Crop yield levels and nutrient requirements in field edge zones—is precision management motivated?20
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images20
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation20
A new method to monitor the brown planthopper population size and its damage using canopy temperature of rice plants20
Evaluation of the most scalable, accurate and cost trade-offs machine learning framework to estimate the Mediterranean wood-pasture yield20
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters20
Efficient tomato harvesting robot based on image processing and deep learning20
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab20
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages20
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy20
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones20
Economics and adoption perspectives of site-specific weed management: A review20
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping20
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production19
A dual-driven framework integrating remote sensing and spatial interpolation for mapping soil organic matter under straw cover19
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground19
UAV-based multispectral and thermal indexes for estimating crop water status and yield on super-high-density olive orchards under deficit irrigation conditions19
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield19
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures19
Enhancing the capacity of southeastern extension change agents to facilitate the dissemination of precision farming: a Delphi approach18
A novel method for optimizing regional-scale management zones based on a sustainable environmental index17
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany17
Robust automated processing of continuous electrical resistivity measurements for soil texture mapping in support of optimized precision farming17
Land surface phenology for the characterization of Mediterranean permanent grasslands17
Enhancing seasonal leaf area index estimation using PLSR with Sentinel-2 spectral and texture features: the importance of feature engineering and feature selection16
Predicting within-field grain protein content at scale using agronomic and remote sensing variables, and machine learning16
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies16
Potential of handheld low-cost multispectral sensors for decision support in viticulture16
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields16
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)16
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system16
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat16
Combining polarized hyperspectral features with an improved deep learning model for wheat powdery mildew severity estimation15
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing15
A pooling module with multidirectional and multi-scale spatial information and its application on semantic segmentation of leaf lesions15
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application15
Yield sensing technologies for perennial and annual horticultural crops: a review15
Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach14
Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data14
Metrics of soil degradation by recent filling of permanent gullies: a study case on annual rainfed crops at the Campiña landscape (Spain)14
Agricultural machinery navigation coordinate extraction driven by YOLOv8-MCS-based potato seedling recognition14
Precision agriculture technologies adoption and technical efficiency of soybean farms in São Paulo, Brazil14
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines14
Combining mobile proximal soil sensors and a crop model to produce high spatial resolution yield prediction maps14
Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images14
Multispecies weed mapping using deep learning on UAV imagery for SSWM in maize and tomato13
Crop robots as potential enablers of economical and biodiversity-smart small-scale farming13
Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain: evidence from grain farmers in Spain and Lithuania13
Environmental life cycle assessment of precision nitrogen fertilization in multiple field crops13
Towards high-spatial-resolution, multi-depth soil water content estimation via SAR data and multimodal deep learning13
Structuring wheat research applying UAV-based remote sensing through OCR- and NLP-enabled metadata analysis13
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector12
Prediction of pasture yield using machine learning-based optical sensing: a systematic review12
Development and evaluation of a low-cost multispectral monitoring system for agricultural applications12
Visible and near-infrared spectroscopy predicted leaf nitrogen contents of potato varieties under different growth and management conditions12
On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties12
Optimising nitrogen application rate using grass coverage estimated at late autumn or early spring from RGB image analyses12
Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming11
A holistic simulation model of solid-set sprinkler irrigation systems for precision irrigation11
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect11
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework11
Estimation of corn crop damage caused by wildlife in UAV images11
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 stress11
The 14th European conference on precision agriculture11
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding11
Barriers to adoption of precision agriculture competencies in secondary agriculture education programs: A case study11
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields11
Cross-calibration of UAV multispectral sensors for green area index estimation11
Identifying strawberry appearance quality based on unsupervised deep learning11
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought11
Seasonal interactions between spatial and temporal variability in a steep Barbera vineyard11
Trends in agricultural technology: a review of US patents11
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN11
A lightweight two-stage framework for headland navigation area localization and path extraction in cornfields10
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning10
The economic viability of spot-spraying for pesticides: the case of Northwest Germany10
Yield potential of site-specific integrated pest and soil nutrient management at different harvest intervals under two commercial cocoa planting systems in Malaysia10
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard10
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing10
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study10
Optimising grassland Above-Ground biomass Estimation for managed grasslands: A Gaussian process regression approach for Sentinel-2 and Planet Scope in Northern Italy10
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model10
Hyperspectral and multispectral imagery for optimizing nitrogen management and harvest assessment in bread wheat10
Multisource data and multitask deep learning for predicting alfalfa growth indicators10
A stochastic frontier approach to nitrogen use and efficiency in soft wheat cultivation10
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning10
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments10
AI-Augmented hyperspectral soil sensing: predictive modeling of nitrogen and phosphorus using neural architecture search10
Influence of spatial resolution on the detection of sprinkler irrigation non-uniformity using high-resolution remote sensing10
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality10
Forecasting field rice grain moisture content using Sentinel-2 and weather data10
Identification of pathogens in corn using near-infrared UAV imagery and deep learning9
Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards9
Effect of mowing, imaging technique, and annotation method on weed detection in turfgrass using YOLO9
Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft9
Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation9
Optimising nitrogen nutrition index (NNI) for maize cultivation with controlled release fertilizer treatments guided by UAV remote sensing technology9
Influence of field geometry on crop yield and yield variability based on extensive on-farm combine harvester data9
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors9
A new method to compare treatments in unreplicated on-farm experimentation9
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks9
Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale9
Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing8
Online recognition of peanut leaf diseases based on the data balance algorithm and deep transfer learning8
Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues8
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
A tertiary systematic literature review and experimental evaluation of deep learning models for plant disease detection8
Stability maps using historical NDVI images on durum wheat to understand the causes of spatial variability8
Remote and proximal sensing assessment of water status and its correlation with yield on almond orchards in Southeast Spain8
Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm8
Using planetscope imagery to evaluate herbicide efficacy in maize (Zea mays) through post-application weed detection8
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation8
Instance segmentation of partially occluded Medjool-date fruit bunches for robotic thinning8
Reducing corn yield prediction uncertainty through multi-scale integration of ground, drone, and satellite data8
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
Airborne multispectral sensing and machine learning for large-scale assessment of forage biomass and nutritive value in tropical pastures8
Field validation of a variable rate application sprayer equipped with ultrasonic sensors in apple tree plantations8
Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil8
Mapping varieties of farmers’ experience in the digital transformation: a new perspective on transformative dynamics8
Agrosense: Accelerating precision orchard management through an AI-enabled monitoring system8
From consumer to RTK-enabled UAVs: A comparative assessment of vineyard mapping accuracy and spectral indices8
Detection and localization of citrus picking points based on binocular vision7
Quantity vs. quality: does wheat grain yield or protein content have a greater opportunity for precision management?7
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
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning7
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology7
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat7
Crop Monitoring with Multiple Sensors: A Comparative Analysis and Validation of UAV, PlanetScope, and Sentinel-2 in Cherry Tomato7
Possibilities of using digital technologies in agriculture in areas with high agrarian fragmentation7
A neural network approach employed to classify soybean plants using multi-sensor images7
A comprehensive review of proximal spectral sensing devices and diagnostic equipment for field crop growth monitoring7
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
Site-specific zone delineation for varying Maize Hybrids based on field variability: a multi-hybrid planting application case study in eastern Nebraska7
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management6
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV6
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders6
Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization6
Growth-model–driven precision fertigation enhances green onion performance in field trials6
Process improvement of selecting the best interpolator and its parameters to create thematic maps6
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
Self-supervised learning outperforms supervised learning for crop classification by annotating only 5% of images6
Integration of satellite, UAV, soil, and topographic data for assessing corn nitrogen uptake at early vegetative growth stages6
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones6
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image6
Spatiotemporal cotton yield variations in relation to time-series satellite imagery: Implications for within-season crop management6
Multi-modal fusion and multi-task deep learning for monitoring the growth of film-mulched winter wheat6
Scalable field boundary refinement from satellite time series using deep learning6
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial6
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