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 2022-01-01 to 2026-01-01.)
ArticleCitations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration223
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates222
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning124
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages114
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture110
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard109
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting80
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision77
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks76
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS69
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment67
Recognition of sunflower growth period based on deep learning from UAV remote sensing images67
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis65
A coupled atomization-spray drift model as online support tool for boom spray applications61
Pedology-based management class establishment: a study case in Brazilian coffee crops60
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis59
Quantifying corn LAI using machine learning and UAV multispectral imaging52
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV847
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level47
Combining 2D image and point cloud deep learning to predict wheat above ground biomass46
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization46
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices44
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite43
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops43
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests42
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits42
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications41
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation41
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control40
Data fusion approach for predicting high resolution estimates of crop evapotranspiration39
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research39
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model38
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard38
Repeatability of commercially available visible and near infrared proximal soil sensors38
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms36
Farewells35
An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)33
Impact of soil types on sugarcane development monitored over time by remote sensing32
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils32
An ultra-lightweight efficient network for image-based plant disease and pest infection detection32
Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea32
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop31
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany30
Delineation of management zones dealing with low sampling and outliers30
Data-driven agriculture and sustainable farming: friends or foes?28
Adding random points to sampling grids to improve the quality of soil fertility maps27
Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation26
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs26
Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis26
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)25
Developing a segment anything model-based framework for automated plot extraction25
Integration of multi-temporal sentinel-1 and sentinel-2 data for paddy rice crop height estimation and uncertainty assessment using quantile regression forests25
Field-scale digital mapping of top- and subsoil Chernozem properties25
What drives the adoption of digital technology? An empirical assessment of multiple technology adoption by soybean farmers in São Paulo, Brazil25
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images24
Statistical diagnostics for sensing spatial residue cover24
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning24
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index24
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning24
Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards23
Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation23
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L23
Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenotyping23
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery23
Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes23
Evolution of precision agricultural technologies: a patent network analysis23
Precision land leveling for sustainable rice production: case studies in Cambodia, Thailand, Philippines, Vietnam, and India22
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab21
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery21
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods21
Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn21
On-Farm variable rate nitrogen management in irrigated potato20
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region20
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones20
Field validation of NDVI to identify crop phenological signatures20
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping20
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters20
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
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
Estimating maize seedling number with UAV RGB images and advanced image processing methods19
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy19
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures18
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production18
Efficient tomato harvesting robot based on image processing and deep learning18
Improving soil property maps for precision agriculture in the presence of outliers using covariates18
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages18
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images18
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield18
Land surface phenology for the characterization of Mediterranean permanent grasslands17
Enhancing the capacity of southeastern extension change agents to facilitate the dissemination of precision farming: a Delphi approach17
Potential of handheld low-cost multispectral sensors for decision support in viticulture17
Predicting within-field grain protein content at scale using agronomic and remote sensing variables, and machine learning17
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)16
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing16
An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat16
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application16
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system16
Remote sensing inversion of soil organic matter by using the subregion method at the field scale16
Yield sensing technologies for perennial and annual horticultural crops: a review16
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields16
Comparing how accurately four different proximal spectrometers can estimate pasture nutritive characteristics: effects of spectral range and data type16
A novel method for optimizing regional-scale management zones based on a sustainable environmental index16
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application16
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat15
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany15
Spatial patchiness and association of pests and natural enemies in agro-ecosystems and their application in precision pest management: a review15
A pooling module with multidirectional and multi-scale spatial information and its application on semantic segmentation of leaf lesions15
Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images15
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies15
Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data15
Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence15
Can nitrogen input mapping from aerial imagery improve nitrous oxide emissions estimates from grazed grassland?14
Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico14
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy14
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring14
Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach14
Precision agriculture technologies adoption and technical efficiency of soybean farms in São Paulo, Brazil14
Combining mobile proximal soil sensors and a crop model to produce high spatial resolution yield prediction maps14
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map13
Do water dynamics and land use in riparian areas change the spatial pattern of physical–mechanical properties of a Cambisol?13
Environmental life cycle assessment of precision nitrogen fertilization in multiple field crops13
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines13
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
A holistic simulation model of solid-set sprinkler irrigation systems for precision irrigation13
Agricultural machinery navigation coordinate extraction driven by YOLOv8-MCS-based potato seedling recognition13
Prediction of pasture yield using machine learning-based optical sensing: a systematic review13
Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain: evidence from grain farmers in Spain and Lithuania13
Precisely forecasting population dynamics of agricultural pests based on an interval type-2 fuzzy logic system: case study for oriental fruit flies and the tobacco cutworms13
Visible and near-infrared spectroscopy predicted leaf nitrogen contents of potato varieties under different growth and management conditions12
Identifying strawberry appearance quality based on unsupervised deep learning12
Estimation of corn crop damage caused by wildlife in UAV images12
On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties12
Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming12
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector12
Quantifying the effects of soil texture and weather on cotton development and yield using UAV imagery12
Multispecies weed mapping using deep learning on UAV imagery for SSWM in maize and tomato12
The 14th European conference on precision agriculture12
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding11
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework11
A comparison of precision and conventional irrigation in corn production in Southeast Alabama11
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard11
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN11
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought11
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality11
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning11
Trends in agricultural technology: a review of US patents11
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect11
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields11
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model11
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments10
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting10
A new method to compare treatments in unreplicated on-farm experimentation10
Optimising grassland Above-Ground biomass Estimation for managed grasslands: A Gaussian process regression approach for Sentinel-2 and Planet Scope in Northern Italy10
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning10
A review of methods to evaluate crop model performance at multiple and changing spatial scales10
Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation10
Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft10
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study10
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing10
Forecasting field rice grain moisture content using Sentinel-2 and weather data10
Yield potential of site-specific integrated pest and soil nutrient management at different harvest intervals under two commercial cocoa planting systems in Malaysia10
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures10
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods9
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors9
Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues9
Combining remote sensing, SPAD readings, and laboratory analysis for monitoring olive groves and olive oil quality9
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series9
Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil9
Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale9
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks9
Agrosense: Accelerating precision orchard management through an AI-enabled monitoring system9
Instance segmentation of partially occluded Medjool-date fruit bunches for robotic thinning9
Mapping varieties of farmers’ experience in the digital transformation: a new perspective on transformative dynamics9
Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards9
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation9
Remote and proximal sensing assessment of water status and its correlation with yield on almond orchards in Southeast Spain9
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 Australia9
Reducing corn yield prediction uncertainty through multi-scale integration of ground, drone, and satellite data9
Stability maps using historical NDVI images on durum wheat to understand the causes of spatial variability9
Identification of pathogens in corn using near-infrared UAV imagery and deep learning9
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
A neural network approach employed to classify soybean plants using multi-sensor images8
Predicting Faba bean yield and grain quality Pre-Harvest using chemometric modelling8
Site-specific zone delineation for varying Maize Hybrids based on field variability: a multi-hybrid planting application case study in eastern Nebraska8
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale8
Land-forming for irrigation (LFI) on a lowland soil protects rice yields while improving irrigation distribution uniformity8
Possibilities of using digital technologies in agriculture in areas with high agrarian fragmentation8
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning8
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach8
Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing8
Combining low-cost noisy measurements with expensive accurate measurements to guide precision applications8
Quantity vs. quality: does wheat grain yield or protein content have a greater opportunity for precision management?8
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image8
Multi-modal fusion and multi-task deep learning for monitoring the growth of film-mulched winter wheat8
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map8
Experimental design issues associated with classifications of hyperspectral sensing data8
Field validation of a variable rate application sprayer equipped with ultrasonic sensors in apple tree plantations8
A comprehensive review of proximal spectral sensing devices and diagnostic equipment for field crop growth monitoring8
Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm8
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology8
Integration of satellite, UAV, soil, and topographic data for assessing corn nitrogen uptake at early vegetative growth stages8
Spatial variability of leaf macronutrient concentration and fruit production of an Arabica coffee plantation using two sampling densities8
Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization8
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat8
Self-supervised learning outperforms supervised learning for crop classification by annotating only 5% of images8
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial7
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders7
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review7
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning7
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon7
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system7
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones7
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability7
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV7
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises7
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms7
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran6
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
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture II: contour mapping of soil properties with sensed z-score data for comparison with management zone avera6
Identification of table grapes in the natural environment based on an improved Yolov5 and localization of picking points6
Precision of grain yield monitors for use in on-farm research strip trials6
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees6
Integration of machine learning models with real-time global positioning data to automate the wild blueberry harvester6
Guest editorial for the special issue: ECPA 20216
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management6
Process improvement of selecting the best interpolator and its parameters to create thematic maps6
Assessing accuracy of crop water stress inversion of soil water content all day long6
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment6
Management zones delineation: a proposal to overcome the crop-pasture rotation challenge6
Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data6
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
Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan6
Application of artificial intelligence for identification of peanut maturity using climatic variables and vegetation indices6
Design, implementation and validation of a sensor-based precise airblast sprayer to improve pesticide applications in orchards6
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