Precision Agriculture

Papers
(The H4-Index of Precision Agriculture is 32. 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
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
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
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