Precision Agriculture

Papers
(The TQCC of Precision Agriculture is 13. 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
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment68
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting68
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
A coupled atomization-spray drift model as online support tool for boom spray applications58
Quantifying corn LAI using machine learning and UAV multispectral imaging58
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization58
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
Pedology-based management class establishment: a study case in Brazilian coffee crops43
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level43
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
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research36
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications36
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms34
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation34
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard32
Data fusion approach for predicting high resolution estimates of crop evapotranspiration32
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
Farewells31
Repeatability of commercially available visible and near infrared proximal soil sensors31
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
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
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
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
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
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
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images22
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs22
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
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
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
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
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
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab18
Field validation of NDVI to identify crop phenological signatures18
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
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
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
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
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy16
Estimating maize seedling number with UAV RGB images and advanced image processing methods15
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
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany15
UAV-based multispectral and thermal indexes for estimating crop water status and yield on super-high-density olive orchards under deficit irrigation conditions15
Comparing how accurately four different proximal spectrometers can estimate pasture nutritive characteristics: effects of spectral range and data type15
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
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
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
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
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