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 2021-08-01 to 2025-08-01.)
ArticleCitations
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates176
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration174
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard105
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS91
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks84
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages83
Recognition of sunflower growth period based on deep learning from UAV remote sensing images72
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision68
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture68
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment62
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting59
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level57
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis57
Pedology-based management class establishment: a study case in Brazilian coffee crops55
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops55
A coupled atomization-spray drift model as online support tool for boom spray applications54
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis51
Combining 2D image and point cloud deep learning to predict wheat above ground biomass48
Quantifying corn LAI using machine learning and UAV multispectral imaging45
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization45
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices42
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV840
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite39
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits38
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard37
Repeatability of commercially available visible and near infrared proximal soil sensors37
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control36
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications35
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research35
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms33
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation33
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests32
A meta-analysis of factors driving the adoption of precision agriculture32
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model31
Farewells31
Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea30
Delineation of management zones dealing with low sampling and outliers30
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop30
In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing UAV imagery29
An ultra-lightweight efficient network for image-based plant disease and pest infection detection29
Spatial variability of soil properties, nitrogen balance and nitrate leaching using digital methods on heterogeneous arable fields in southern Germany28
Impact of soil types on sugarcane development monitored over time by remote sensing27
An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)26
Data-driven agriculture and sustainable farming: friends or foes?26
Developing a segment anything model-based framework for automated plot extraction25
Field-scale digital mapping of top- and subsoil Chernozem properties25
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils25
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)25
Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis25
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images25
Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation25
Adding random points to sampling grids to improve the quality of soil fertility maps25
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning23
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs23
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index22
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning22
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery21
Statistical diagnostics for sensing spatial residue cover21
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery20
Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes20
Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation20
Precision land leveling for sustainable rice production: case studies in Cambodia, Thailand, Philippines, Vietnam, and India20
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L20
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment19
Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenotyping19
Evolution of precision agricultural technologies: a patent network analysis19
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation18
Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards18
On-Farm variable rate nitrogen management in irrigated potato18
Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn18
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping17
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground17
Field validation of NDVI to identify crop phenological signatures17
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region17
Improving soil property maps for precision agriculture in the presence of outliers using covariates17
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods17
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones17
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab17
Efficient tomato harvesting robot based on image processing and deep learning16
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages16
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters16
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production16
Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones16
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images15
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system15
UAV-based multispectral and thermal indexes for estimating crop water status and yield on super-high-density olive orchards under deficit irrigation conditions15
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures15
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield15
Comparing how accurately four different proximal spectrometers can estimate pasture nutritive characteristics: effects of spectral range and data type15
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy15
Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil15
Estimating maize seedling number with UAV RGB images and advanced image processing methods15
Land surface phenology for the characterization of Mediterranean permanent grasslands14
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat14
Potential of handheld low-cost multispectral sensors for decision support in viticulture14
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application14
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application14
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing14
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies14
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany14
Remote sensing inversion of soil organic matter by using the subregion method at the field scale14
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)14
Yield sensing technologies for perennial and annual horticultural crops: a review13
Detection of soil-borne wheat mosaic virus using hyperspectral imaging: from lab to field scans and from hyperspectral to multispectral data13
A novel method for optimizing regional-scale management zones based on a sustainable environmental index13
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields13
A pooling module with multidirectional and multi-scale spatial information and its application on semantic segmentation of leaf lesions13
An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat13
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 monitoring13
Advancing Blackmore’s methodology to delineate management zones from Sentinel 2 images13
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy12
Forecasting seasonal plot-specific crop coefficient (Kc) protocol for processing tomato using remote sensing, meteorology, and artificial intelligence12
Can nitrogen input mapping from aerial imagery improve nitrous oxide emissions estimates from grazed grassland?12
Spatial patchiness and association of pests and natural enemies in agro-ecosystems and their application in precision pest management: a review12
Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach12
Use of fluorescence indices as predictors of crop N status and yield for greenhouse sweet pepper crops12
Segmentation and motion parameter estimation for robotic Medjoul-date thinning12
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 cutworms12
Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico12
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map11
Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems11
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
Automatic monitoring of flying vegetable insect pests using an RGB camera and YOLO-SIP detector11
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
Identifying strawberry appearance quality based on unsupervised deep learning11
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
Do water dynamics and land use in riparian areas change the spatial pattern of physical–mechanical properties of a Cambisol?11
Prediction of pasture yield using machine learning-based optical sensing: a systematic review11
On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties11
Trends in agricultural technology: a review of US patents10
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields10
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought10
Estimation of corn crop damage caused by wildlife in UAV images10
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect10
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework10
Visible and near-infrared spectroscopy predicted leaf nitrogen contents of potato varieties under different growth and management conditions10
The 14th European conference on precision agriculture10
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum10
Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain: evidence from grain farmers in Spain and Lithuania10
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning9
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN9
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model9
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning9
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding9
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality9
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting9
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing9
A comparison of precision and conventional irrigation in corn production in Southeast Alabama9
Forecasting field rice grain moisture content using Sentinel-2 and weather data9
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study9
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments9
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors8
Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards8
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
Medium-resolution multispectral satellite imagery in precision agriculture: mapping precision canola (Brassica napus L.) yield using Sentinel-2 time series8
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
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures8
Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation8
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods8
Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues8
Agrosense: Accelerating precision orchard management through an AI-enabled monitoring system8
Identification of pathogens in corn using near-infrared UAV imagery and deep learning8
Yield potential of site-specific integrated pest and soil nutrient management at different harvest intervals under two commercial cocoa planting systems in Malaysia8
Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil8
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions8
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard8
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation8
Combining remote sensing, SPAD readings, and laboratory analysis for monitoring olive groves and olive oil quality8
Mapping varieties of farmers’ experience in the digital transformation: a new perspective on transformative dynamics8
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
Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft8
A new method to compare treatments in unreplicated on-farm experimentation8
A review of methods to evaluate crop model performance at multiple and changing spatial scales8
Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing7
Combining low-cost noisy measurements with expensive accurate measurements to guide precision applications7
Correction to: A meta-analysis of factors driving the adoption of precision agriculture7
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
Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm7
A neural network approach employed to classify soybean plants using multi-sensor images7
Field validation of a variable rate application sprayer equipped with ultrasonic sensors in apple tree plantations7
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology7
Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning7
Coupling continuous wavelet transform with machine learning to improve water status prediction in winter wheat7
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach7
A comprehensive review of proximal spectral sensing devices and diagnostic equipment for field crop growth monitoring7
Detection and localization of citrus picking points based on binocular vision7
Land-forming for irrigation (LFI) on a lowland soil protects rice yields while improving irrigation distribution uniformity7
Quantity vs. quality: does wheat grain yield or protein contenthave a greater opportunity for precision management?7
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
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial6
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV6
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map6
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture6
Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization6
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
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon6
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning6
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management6
Water distribution analysis of a linear move irrigator by aerial survey and RTK-GNSS monitors6
Possibilities of using digital technologies in agriculture in areas with high agrarian fragmentation6
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale6
Site-specific zone delineation for varying Maize Hybrids based on field variability: a multi-hybrid planting application case study in eastern Nebraska6
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability6
Process improvement of selecting the best interpolator and its parameters to create thematic maps6
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises6
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders6
Multi-modal fusion and multi-task deep learning for monitoring the growth of film-mulched winter wheat6
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones6
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties5
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms5
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
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
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image5
Guest editorial for the special issue: ECPA 20215
Integration of machine learning models with real-time global positioning data to automate the wild blueberry harvester5
Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan5
Assessing plant traits derived from Sentinel-2 to characterize leaf nitrogen variability in almond orchards: modeling and validation with airborne hyperspectral imagery5
Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model5
Application of artificial intelligence for identification of peanut maturity using climatic variables and vegetation indices5
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system5
Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data5
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review5
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
Management zones delineation: a proposal to overcome the crop-pasture rotation challenge5
Growth monitoring of field-grown onion and garlic by CIE L*a*b* color space and region-based crop segmentation of UAV RGB images5
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