Precision Agriculture

Papers
(The median citation count of Precision Agriculture is 5. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates181
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration177
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages107
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS95
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks89
Recognition of sunflower growth period based on deep learning from UAV remote sensing images87
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard74
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision70
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting68
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment68
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture60
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis59
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization58
A coupled atomization-spray drift model as online support tool for boom spray applications58
Quantifying corn LAI using machine learning and UAV multispectral imaging58
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis57
Combining 2D image and point cloud deep learning to predict wheat above ground biomass51
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops48
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level43
Pedology-based management class establishment: a study case in Brazilian coffee crops43
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV842
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite41
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices41
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits39
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control37
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests37
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications36
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
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms34
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard32
Data fusion approach for predicting high resolution estimates of crop evapotranspiration32
Farewells31
Repeatability of commercially available visible and near infrared proximal soil sensors31
Delineation of management zones dealing with low sampling and outliers31
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model31
Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea30
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils29
In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing UAV imagery28
An ultra-lightweight efficient network for image-based plant disease and pest infection detection28
Data-driven agriculture and sustainable farming: friends or foes?28
An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)28
Impact of soil types on sugarcane development monitored over time by remote sensing27
Adding random points to sampling grids to improve the quality of soil fertility maps27
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany27
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop27
Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis26
Field-scale digital mapping of top- and subsoil Chernozem properties25
Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation24
Developing a segment anything model-based framework for automated plot extraction23
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)23
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs22
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images22
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning21
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning21
Statistical diagnostics for sensing spatial residue cover20
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery20
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery20
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index20
Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation20
Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn19
Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenotyping19
Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards19
Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes19
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L19
Evolution of precision agricultural technologies: a patent network analysis19
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment19
Precision land leveling for sustainable rice production: case studies in Cambodia, Thailand, Philippines, Vietnam, and India19
On-Farm variable rate nitrogen management in irrigated potato18
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region18
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation18
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods18
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab18
Field validation of NDVI to identify crop phenological signatures18
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages17
Improving soil property maps for precision agriculture in the presence of outliers using covariates17
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping17
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters17
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground17
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production17
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones17
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy16
A new method to monitor the brown planthopper population size and its damage using canopy temperature of rice plants16
Efficient tomato harvesting robot based on image processing and deep learning16
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images16
UAV-based multispectral and thermal indexes for estimating crop water status and yield on super-high-density olive orchards under deficit irrigation conditions15
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany15
Estimating maize seedling number with UAV RGB images and advanced image processing methods15
Comparing how accurately four different proximal spectrometers can estimate pasture nutritive characteristics: effects of spectral range and data type15
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield15
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures15
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies14
Predicting within-field grain protein content at scale using agronomic and remote sensing variables, and machine learning14
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing14
Potential of handheld low-cost multispectral sensors for decision support in viticulture14
Enhancing the capacity of southeastern extension change agents to facilitate the dissemination of precision farming: a Delphi approach14
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat14
Remote sensing inversion of soil organic matter by using the subregion method at the field scale14
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application14
Land surface phenology for the characterization of Mediterranean permanent grasslands14
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields13
Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data13
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application13
Yield sensing technologies for perennial and annual horticultural crops: a review13
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)13
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system13
A novel method for optimizing regional-scale management zones based on a sustainable environmental index13
An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat13
Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images13
Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yieldin13
Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring12
A pooling module with multidirectional and multi-scale spatial information and its application on semantic segmentation of leaf lesions12
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy12
Spatial patchiness and association of pests and natural enemies in agro-ecosystems and their application in precision pest management: a review12
Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence12
Segmentation and motion parameter estimation for robotic Medjoul-date thinning11
Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach11
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map11
Effect of training sample size, sampling design and prediction model on soil mapping with proximal sensing data for precision liming11
Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines11
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 cutworms11
Use of fluorescence indices as predictors of crop N status and yield for greenhouse sweet pepper crops11
Quantifying the effects of soil texture and weather on cotton development and yield using UAV imagery11
A holistic simulation model of solid-set sprinkler irrigation systems for precision irrigation11
Can nitrogen input mapping from aerial imagery improve nitrous oxide emissions estimates from grazed grassland?11
Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico11
Do water dynamics and land use in riparian areas change the spatial pattern of physical–mechanical properties of a Cambisol?11
Identifying strawberry appearance quality based on unsupervised deep learning11
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector10
The 14th European conference on precision agriculture10
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields10
Prediction of pasture yield using machine learning-based optical sensing: a systematic review10
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 stress10
Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain: evidence from grain farmers in Spain and Lithuania10
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework10
Estimation of corn crop damage caused by wildlife in UAV images10
Visible and near-infrared spectroscopy predicted leaf nitrogen contents of potato varieties under different growth and management conditions10
Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems10
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect10
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum10
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought10
On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties10
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures9
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN9
Trends in agricultural technology: a review of US patents9
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting9
A review of methods to evaluate crop model performance at multiple and changing spatial scales9
Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation9
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments9
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality9
A comparison of precision and conventional irrigation in corn production in Southeast Alabama9
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning9
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard9
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning9
A new method to compare treatments in unreplicated on-farm experimentation9
Forecasting field rice grain moisture content using Sentinel-2 and weather data9
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding9
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study9
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model9
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing9
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions9
Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil9
Instance segmentation of partially occluded Medjool-date fruit bunches for robotic thinning8
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
Stability maps using historical NDVI images on durum wheat to understand the causes of spatial variability8
Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft8
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods8
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors8
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
Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards8
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation8
Yield potential of site-specific integrated pest and soil nutrient management at different harvest intervals under two commercial cocoa planting systems in Malaysia8
Identification of pathogens in corn using near-infrared UAV imagery and deep learning8
Combining remote sensing, SPAD readings, and laboratory analysis for monitoring olive groves and olive oil quality8
Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues8
Combining low-cost noisy measurements with expensive accurate measurements to guide precision applications8
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks8
Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale8
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series8
A neural network approach employed to classify soybean plants using multi-sensor images7
Correction to: A meta-analysis of factors driving the adoption of precision agriculture7
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology7
Online recognition of peanut leaf diseases based on the data balance algorithm and deep transfer learning7
Spatial variability of leaf macronutrient concentration and fruit production of an Arabica coffee plantation using two sampling densities7
Experimental design issues associated with classifications of hyperspectral sensing data7
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning7
Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm7
Detection and localization of citrus picking points based on binocular vision7
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach7
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat7
Site-specific zone delineation for varying Maize Hybrids based on field variability: a multi-hybrid planting application case study in eastern Nebraska7
Multi-modal fusion and multi-task deep learning for monitoring the growth of film-mulched winter wheat7
Field validation of a variable rate application sprayer equipped with ultrasonic sensors in apple tree plantations7
Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing7
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
Possibilities of using digital technologies in agriculture in areas with high agrarian fragmentation7
Quantity vs. quality: does wheat grain yield or protein content have a greater opportunity for precision management?7
Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization6
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
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale6
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon6
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
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones6
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management6
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map6
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning6
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability6
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders6
Water distribution analysis of a linear move irrigator by aerial survey and RTK-GNSS monitors6
Applying colour-based feature extraction and transfer learning to develop a high throughput inference system for potato (Solanum tuberosum L.) stems with images from unmanned aerial vehicles after can6
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 maps5
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image5
Guest editorial for the special issue: ECPA 20215
Assessing accuracy of crop water stress inversion of soil water content all day long5
Precision of grain yield monitors for use in on-farm research strip trials5
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 avera5
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV5
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system5
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran5
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees5
Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model5
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery5
Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data5
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms5
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises5
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review5
Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan5
Application of artificial intelligence for identification of peanut maturity using climatic variables and vegetation indices5
Management zones delineation: a proposal to overcome the crop-pasture rotation challenge5
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