Precision Agriculture

Papers
(The TQCC of Precision Agriculture is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration277
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages255
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks147
Recognition of sunflower growth period based on deep learning from UAV remote sensing images139
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture135
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning124
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment86
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard86
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates74
Detection of downy mildew infection in grapevine leaves using field spectroscopy and machine learning72
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting71
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision66
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS60
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis57
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level55
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis53
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops51
Assessing seeding rate management strategies for maize production in South Africa: Insights from the Data Intensive Farm Management Project51
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization49
Improving spatial resolutions of unmanned aerial vehicle hyperspectral images to predict grain yield and protein content in rice48
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV848
Developing an innovative stacking ensemble machine learning and multi-source data fusion-based precision nitrogen management strategy for corn45
Combining 2D image and point cloud deep learning to predict wheat above ground biomass44
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices44
Quantifying corn LAI using machine learning and UAV multispectral imaging44
A coupled atomization-spray drift model as online support tool for boom spray applications43
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits41
A modified crop water stress index (mCWSI) for rainfed crops by accounting spatial variability of leaf temperature41
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests40
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control36
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research36
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model34
Repeatability of commercially available visible and near infrared proximal soil sensors34
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 vineyard34
Changing perceptions of crop robotics in social media33
Data fusion approach for predicting high resolution estimates of crop evapotranspiration33
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite33
Effects of variable rate irrigation and fertilization under center pivot system on water conservation, fertilizer efficiency, and yield in winter wheat32
Incorporation of mechanistic model outputs as features for data-driven models for yield prediction: a case study on wheat and chickpea32
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications32
Farewells32
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms32
Utility of visible and near-infrared spectroscopy to predict base neutralizing capacity and lime requirement of quaternary soils31
Delineation of management zones dealing with low sampling and outliers30
An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays)30
Early asymptomatic diagnosis of tobacco mosaic virus in fields utilizing hyperspectral imaging technology from unmanned aerial vehicle29
Data-driven agriculture and sustainable farming: friends or foes?29
Adding random points to sampling grids to improve the quality of soil fertility maps28
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 Germany28
Monitoring the interannual dynamic changes of soil organic matter using long-term Landsat images28
Improving harvester yield maps postprocessing leveraging remote sensing data in rice crop28
Drone-based assessment of multifunctionality in mixed cropping systems27
Integration of multi-temporal sentinel-1 and sentinel-2 data for paddy rice crop height estimation and uncertainty assessment using quantile regression forests26
Spatial variability in soil characteristics is associated with Vidalia onion pungency and yield26
Expanding the services of cereal/legume cover crop mixtures: From UAV-RGB species-dominance identification to precision-based pre-plant nitrogen decisions26
Planning and optimization of nitrogen fertilization in corn based on multispectral images and leaf nitrogen content using unmanned aerial vehicle (UAV)26
Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis26
Conventional management vs. precision viticulture: A comparison of different levels of mechanization and their impact on vineyard profitability25
Model-averaging as an accurate approach for ex-post economic optimum nitrogen rate estimation25
Generalized data-driven optimal path planning framework for uniform coverage missions using crop spraying UAVs25
Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning25
Drivers and barriers to precision agriculture adoption in Czech agriculture24
Dense Proximal Sensing of Soil Apparent Electrical Conductivity using Autonomous Field Robotics24
Developing a segment anything model-based framework for automated plot extraction24
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning24
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index23
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L23
What drives the adoption of digital technology? An empirical assessment of multiple technology adoption by soybean farmers in São Paulo, Brazil23
Statistical diagnostics for sensing spatial residue cover23
Field-scale digital mapping of top- and subsoil Chernozem properties23
Multispectral images for monitoring the physiological parameters of coffee plants under different treatments against nematodes22
Devising optimized maize nitrogen stress indices in complex field conditions from UAV hyperspectral imagery22
Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation22
Real-time detection and characterization of trunks and upright branches of pear trees for automatic dormant pruning22
Development and field performance evaluation of hole-fertilizing planter and dynamic alignment control system for precision planting of corn21
Assessing neglected and underutilised taro crop water status using physiological indicators and UAV multi-modal thermal-multispectral data21
Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards21
Evolution of precision agricultural technologies: a patent network analysis21
Deep mango cultivars: cultivar detection by classification method with maximum misidentification rate estimation21
Visible-near infrared and mid infrared spectroscopy for rapid nutrient profiling: a comparative assessment and model transferability using fresh and dry-ground plant tissues in cotton21
Sugarcane yield estimation in Thailand at multiple scales using the integration of UAV and Sentinel-2 imagery21
Fully automated proximal hyperspectral imaging system for high-resolution and high-quality in vivo soybean phenotyping21
Robust Spectral Classification Under Sample Type and Seasonal Variability: A Proximal Remote Sensing Approach for Grapevine Cultivar Discrimination20
Field validation of NDVI to identify crop phenological signatures20
On-Farm variable rate nitrogen management in irrigated potato20
Interannual assessment of intra-vineyard variability through NDVI-based zoning in a mediterranean environment20
Effects of pre-emergence herbicide on targeted post-emergence herbicide application in plasticulture production20
Optimizing soybean breeding: High-throughput phenotyping for stink bug resistance and high yields20
Adaptively spatial feature fusion network: an improved UAV detection method for wheat scab20
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region20
From pen and paper to digital precision: a comprehensive review of on-farm recordkeeping20
Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters19
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy19
A new method to monitor the brown planthopper population size and its damage using canopy temperature of rice plants19
Remote estimation of leaf water concentration in winter wheat under different nitrogen treatments and plant growth stages19
Crop yield levels and nutrient requirements in field edge zones—is precision management motivated?18
Spatial and temporal correlation between soil and rice relative yield in small-scale paddy fields and management zones18
Efficient tomato harvesting robot based on image processing and deep learning18
End-to-end 3D CNN for plot-scale soybean yield prediction using multitemporal UAV-based RGB images18
Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures18
From plot to field: A practical and robust model for rapeseed LAI inversion using a consumer-grade UAV RGB imaging platform18
Enhancing model performance through date fusion in multispectral and RGB image-based field phenotyping of wheat grain yield18
Economics and adoption perspectives of site-specific weed management: A review18
Evaluation of the most scalable, accurate and cost trade-offs machine learning framework to estimate the Mediterranean wood-pasture yield18
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground18
Potential of handheld low-cost multispectral sensors for decision support in viticulture17
Enhancing the capacity of southeastern extension change agents to facilitate the dissemination of precision farming: a Delphi approach17
UAV-based multispectral and thermal indexes for estimating crop water status and yield on super-high-density olive orchards under deficit irrigation conditions17
Evaluation of different crop model-based approaches for variable rate nitrogen fertilization in winter wheat17
Within-season vegetation indices and yield stability as a predictor of spatial patterns of Maize (Zea mays L) yields17
The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)17
Enhancing seasonal leaf area index estimation using PLSR with Sentinel-2 spectral and texture features: the importance of feature engineering and feature selection17
Predicting within-field grain protein content at scale using agronomic and remote sensing variables, and machine learning17
Land surface phenology for the characterization of Mediterranean permanent grasslands17
On-farm cereal rye biomass estimation using machine learning on images from an unmanned aerial system16
Transfer learning for plant disease detection model based on low-altitude UAV remote sensing16
Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany16
A computer vision system for apple fruit sizing by means of low-cost depth camera and neural network application16
Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies16
Yield sensing technologies for perennial and annual horticultural crops: a review16
A novel method for optimizing regional-scale management zones based on a sustainable environmental index16
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