Precision Agriculture

Papers
(The H4-Index of Precision Agriculture is 31. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration158
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates158
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages125
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks88
Recognition of sunflower growth period based on deep learning from UAV remote sensing images80
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard77
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS75
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting69
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment63
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization61
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis57
Combining 2D image and point cloud deep learning to predict wheat above ground biomass55
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level55
Spatio-temporal analysis of yield and weather data for defining site-specific crop management zones54
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis52
Pedology-based management class establishment: a study case in Brazilian coffee crops50
A coupled atomization-spray drift model as online support tool for boom spray applications50
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices44
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV844
Quantifying corn LAI using machine learning and UAV multispectral imaging44
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops42
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite39
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation38
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model38
Repeatability of commercially available visible and near infrared proximal soil sensors35
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control34
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research34
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications33
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
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard31
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