Precision Agriculture

Papers
(The median citation count of Precision Agriculture is 4. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
In season estimation of economic optimum nitrogen rate with remote sensing multispectral indices and historical telematics field-operation data226
Water distribution analysis of a linear move irrigator by aerial survey and RTK-GNSS monitors145
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks142
Cauliflower centre detection and 3-dimensional tracking for robotic intrarow weeding117
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation104
Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection78
Field validation of NDVI to identify crop phenological signatures74
Sweet corn yield prediction using machine learning models and field-level data70
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates67
An autonomous navigation method for orchard rows based on a combination of an improved a-star algorithm and SVR65
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture64
Characterization of portuguese sown rainfed grasslands using remote sensing and machine learning58
Correction to: Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments55
Flying over the farm: understanding drone adoption by Australian irrigators54
Recalibrating plant water status of winter wheat based on nitrogen nutrition index using thermal images52
A W-shaped convolutional network for robust crop and weed classification in agriculture50
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN48
Improved piezoelectric grain cleaning loss sensor based on adaptive neuro-fuzzy inference system48
Application of visible near-infrared absorbance spectroscopy for the determination of Soil pH and liming requirements for broad-acre agriculture45
The effect of local samples in the accuracy of mid-infrared (MIR) and X-ray fluorescence (XRF) -based spectral prediction models42
Investigation of the similarities between NDVI maps from different proximal and remote sensing platforms in explaining vineyard variability42
Process improvement of selecting the best interpolator and its parameters to create thematic maps41
Early/late fusion structures with optimized feature selection for weed detection using visible and thermal images of paddy fields41
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab40
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting38
Analysis of sampling precision in low-density weed populations37
Strategies for monitoring within-field soybean yield using Sentinel-2 Vis-NIR-SWIR spectral bands and machine learning regression methods34
Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production34
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages34
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 can33
iDVS: interactive 2D and 3D visualizations of proximal sensor data for rapid characterization of soil profiles31
A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect30
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic29
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial29
Implementing variable-rate herbicide applications based on soil physical properties in grain sorghum29
Spatial patterns of soil microbial communities and implications for precision soil management at the field scale28
Monitoring leaf nitrogen content in rice based on information fusion of multi-sensor imagery from UAV28
Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders28
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment27
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard27
Correlation of UAV and satellite-derived vegetation indices with cotton physiological parameters and their use as a tool for scheduling variable rate irrigation in cotton27
On-farm evaluation of a crop forecast-based approach for season-specific nitrogen application in winter wheat26
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS26
A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley26
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration26
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping25
Soil sampling and sensed ancillary data requirements for soil mapping in precision agriculture I. delineation of management zones to determine zone averages of soil properties25
Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image25
Adoption of internet of things-enabled agricultural systems among Chinese agro-entreprises25
Interviews with farmers from the US corn belt highlight opportunity for improved decision support systems and continued structural barriers to farmland diversification25
Assessing grapevine water status in a variably irrigated vineyard with NIR/SWIR hyperspectral imaging from UAV24
Management zone classification for variable-rate soil residual herbicide applications23
MangoDetNet: a novel label-efficient weakly supervised fruit detection framework22
Evaluation of machine learning-dynamical hybrid method incorporating remote sensing data for in-season maize yield prediction under drought22
Promoting excellence or discouraging mediocrity – a policy framework assessment for precision agriculture technologies adoption22
A bio-inspired optimization algorithm with disjoint sets to delineate orthogonal site-specific management zones20
Estimation of corn crop damage caused by wildlife in UAV images20
The 14th European conference on precision agriculture19
Estimating litchi flower number using a multicolumn convolutional neural network based on a density map19
Potential of fertilizer segregation during application using spinner disc spreader18
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review18
Potential of multi-seasonal vegetation indices to predict rice yield from UAV multispectral observations18
Soil-moisture-index spectrum reconstruction improves partial least squares regression of spectral analysis of soil organic carbon18
A comparison of precision and conventional irrigation in corn production in Southeast Alabama17
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review17
Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms17
Evaluating the accuracy and usefulness of commercially-available proximal soil mapping services for grassland nutrient management planning and soil health monitoring17
In vivo sensing to monitor tomato plants in field conditions and optimize crop water management17
The effect of growth stage and plant counting accuracy of maize inbred lines on LAI and biomass prediction17
Deep-learning-based counting methods, datasets, and applications in agriculture: a review16
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer16
A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery16
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures15
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements15
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region15
Unleashing profitability of vineyards through the adoption of unmanned aerial vehicles technology systems: the case of two Italian wineries15
Guest editorial for the special issue: ECPA 202115
Recognition of sunflower growth period based on deep learning from UAV remote sensing images15
Correction to: structural wheat trait estimation using UAV-based laser scanning data: analysis of critical aspects and recommendations based on a case study14
Factors affecting farmer perceived challenges towards precision agriculture14
Impact of in-field soil heterogeneity on biomass and yield of winter triticale in an intensively cropped hummocky landscape under temperate climate conditions14
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment14
The economic effects of unmanned aerial vehicles in pesticide application: evidence from Chinese grain farmers13
Influence of short-term surface temperature dynamics on tree orchards energy balance fluxes13
A coupled atomization-spray drift model as online support tool for boom spray applications13
Hyperspectral imaging predicts yield and nitrogen content in grass–legume polycultures13
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy13
Monitoring soil–plant interactions and maize yield by satellite vegetation indexes, soil electrical conductivity and management zones13
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery13
Dynamic delineation of management zones for site-specific nitrogen fertilization in a citrus orchard13
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis13
Identification of main factors affecting the within-field spatial variability of grapevine phenology and total soluble solids accumulation: towards the vineyard zoning using auxiliary information13
Hybrid rice row detection at the pollination stage based on vanishing point and line-scanning method13
Field methods for making productivity classes for site-specific management of wheat13
Improving soil property maps for precision agriculture in the presence of outliers using covariates12
Management zone-specific N mineralization rate estimation in unamended soil12
Design considerations of variable rate liquid fertilizer applicator for mature oil palm trees12
Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)12
Spatio-temporal analysis of yield and weather data for defining site-specific crop management zones12
Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato12
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages12
Multi-temporal analysis of terrestrial laser scanning data to detect basal stem rot in oil palm trees11
Relevance of NDVI, soil apparent electrical conductivity and topography for variable rate irrigation zoning in an olive grove11
Pedotransfer functions for adsorbed phosphorus evaluations using magnetic susceptibility for mapping purposes11
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones11
Simulating within-field spatial and temporal corn yield response to nitrogen with APSIM model11
Economically targeting conservation practices to optimize conservation and net revenue using precision agriculture tools11
Evaluating unoccupied aerial systems (UAS) imagery as an alternative tool towards cotton-based management zones11
Accuracy and robustness of a plant-level cabbage yield prediction system generated by assimilating UAV-based remote sensing data into a crop simulation model11
Within-field extrapolation away from a soil moisture probe using freely available satellite imagery and weather data10
Assessing plant traits derived from Sentinel-2 to characterize leaf nitrogen variability in almond orchards: modeling and validation with airborne hyperspectral imagery10
Quantifying corn LAI using machine learning and UAV multispectral imaging10
Retinanet_G2S: a multi-scale feature fusion-based network for fruit detection of punna navel oranges in complex field environments10
Comparing machine learning algorithms for predicting and digitally mapping surface soil available phosphorous: a case study from southwestern Iran10
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV810
Extracting illuminated vegetation, shadowed vegetation and background for finer fractional vegetation cover with polarization information and a convolutional network10
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground10
Laser and optical radiation weed control: a critical review10
Destructive and non-destructive measurement approaches and the application of AI models in precision agriculture: a review10
Downscaling crop production data to fine scale estimates with geostatistics and remote sensing: a case study in mapping cotton fibre quality9
Economics of autonomous equipment for arable farms9
Forecasting field rice grain moisture content using Sentinel-2 and weather data9
Influences of wind vortex intensity of rotor UAV on rice morphology and yield9
Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan9
Comparative study of interpolation methods for low-density sampling9
Assessing accuracy of crop water stress inversion of soil water content all day long9
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network9
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization9
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices9
Design, implementation and validation of a sensor-based precise airblast sprayer to improve pesticide applications in orchards9
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production9
Detection of fusarium wilt-induced physiological impairment in strawberry plants using hyperspectral imaging and machine learning9
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis9
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield9
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level9
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 avera8
Pedology-based management class establishment: a study case in Brazilian coffee crops8
Soil mapping for precision agriculture using support vector machines combined with inverse distance weighting8
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters8
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture8
Identification of table grapes in the natural environment based on an improved Yolov5 and localization of picking points8
Estimating maize seedling number with UAV RGB images and advanced image processing methods8
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops8
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images8
An accurate monitoring method of peanut southern blight using unmanned aerial vehicle remote sensing8
On crop yield modelling, predicting, and forecasting and addressing the common issues in published studies8
RS-Net: robust segmentation of green overlapped apples8
Management zones delineation: a proposal to overcome the crop-pasture rotation challenge8
A review of methods to evaluate crop model performance at multiple and changing spatial scales8
Efficient tomato harvesting robot based on image processing and deep learning8
The need for streamlining precision agriculture data in Africa8
Integration of machine learning models with real-time global positioning data to automate the wild blueberry harvester8
Growth monitoring of field-grown onion and garlic by CIE L*a*b* color space and region-based crop segmentation of UAV RGB images8
Enhancing phenotyping efficiency in faba bean breeding: integrating UAV imaging and machine learning7
Repeatability of commercially available visible and near infrared proximal soil sensors7
Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale7
Novel attitude control of Korean cabbage harvester using backstepping control7
Economic potential of site-specific pesticide application scenarios with direct injection and automatic application assistant in northern Germany7
Precision of grain yield monitors for use in on-farm research strip trials7
A meta-analysis of factors driving the adoption of precision agriculture7
What if precision agriculture is not profitable?: A comprehensive analysis of the right timing for exiting, taking into account different entry options7
Practical methods for aerial image acquisition and reflectance conversion using consumer-grade cameras on manned and unmanned aircraft7
High-throughput phenotyping of individual plant height in an oilseed rape population based on Mask-RCNN and UAV images7
Combining 2D image and point cloud deep learning to predict wheat above ground biomass7
Multi-species weed density assessment based on semantic segmentation neural network7
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard7
Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models7
Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil6
Land surface phenology for the characterization of Mediterranean permanent grasslands6
Maximizing dataset variability in agricultural surveys with spatial sampling based on MaxVol matrix approximation6
A new method to compare treatments in unreplicated on-farm experimentation6
Leaf area index estimation in maize and soybean using UAV LiDAR data6
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research6
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications6
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits6
Suitability of satellite remote sensing data for yield estimation in northeast Germany6
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields6
Fertilization and soil management machine learning based sustainable agronomic prescriptions for durum wheat in Italy6
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing6
A decision-supporting system for vineyard management: a multi-temporal approach with remote and proximal sensing6
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)6
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat6
An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat6
Correction to: On-farm experimentation of precision agriculture for differential seed and fertilizer management in semi-arid rainfed zones6
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model6
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control6
Mechanized wet direct seeding for increased rice production efficiency and reduced carbon footprint6
Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards6
Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil6
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system5
Can machine learning models provide accurate fertilizer recommendations?5
Prediction of grain yield and nitrogen uptake by basmati rice through in-season proximal sensing with a canopy reflectance sensor5
Comparing how accurately four different proximal spectrometers can estimate pasture nutritive characteristics: effects of spectral range and data type5
Economics of field size and shape for autonomous crop machines5
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation5
Analysing the number of images needed to create robust variable spray maps5
Unmanned aerial vehicle to evaluate frost damage in coffee plants5
Box sampling: a new spatial sampling method for grapevine macronutrients using Sentinel-1 and Sentinel-2 satellite images5
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany5
Yield map generation of perennial crops for fresh consumption5
Biologically inspired robotic perception-action for soft fruit harvesting in vertical growing environments5
Remote sensing inversion of soil organic matter by using the subregion method at the field scale5
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 yieldin5
The potential of image segmentation applied to sampling design for improving farm-level multi-soil property mapping accuracy5
Spatiotemporal normalized ratio methodology to evaluate the impact of field-scale variable rate application5
Drone remote sensing of wheat N using hyperspectral sensor and machine learning5
Precision mapping and treatment of spring dead spot in bermudagrass using unmanned aerial vehicles and global navigation satellite systems sprayer technology5
Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation5
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests5
Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages5
Estimation of the economic impacts and operational limitations imposed on unmanned aerial systems by poor sky conditions5
A novel method for optimizing regional-scale management zones based on a sustainable environmental index5
Spatiotemporally variable incident light, leaf photosynthesis, and yield across a greenhouse: fine-scale hemispherical photography and a photosynthesis model5
Strawberries recognition and cutting point detection for fruit harvesting and truss pruning4
Mapping coffee yield with computer vision4
Delineation of management zones dealing with low sampling and outliers4
Digital strategies for nitrogen management in grain production systems: lessons from multi-method assessment using on-farm experimentation4
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat4
Variable-rate seeding in soybean according to soil attributes related to grain yield4
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods4
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features4
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors4
Plant disease detection using drones in precision agriculture4
Direct prediction of site-specific lime requirement of arable fields using the base neutralizing capacity and a multi-sensor platform for on-the-go soil mapping4
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application4
A passion fruit counting method based on the lightweight YOLOv5s and improved DeepSORT4
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior4
Identification of pathogens in corn using near-infrared UAV imagery and deep learning4
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite4
Identifying crop yield gaps with site- and season-specific data-driven models of yield potential4
Yield sensing technologies for perennial and annual horticultural crops: a review4
Farewells4
Stability maps using historical NDVI images on durum wheat to understand the causes of spatial variability4
Structural wheat trait estimation using UAV-based laser scanning data: Analysis of critical aspects and recommendations based on a case study4
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies4
Yield potential of site-specific integrated pest and soil nutrient management at different harvest intervals under two commercial cocoa planting systems in Malaysia4
Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks4
Potential to reduce the nitrate residue after harvest in maize fields without sacrificing yield through precision nitrogen management4
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