OOIR: Observatory of International Research

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 2021-08-01 to 2025-08-01.)

Article	Citations
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates	176
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration	174
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard	105
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS	91
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks	84
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages	83
Recognition of sunflower growth period based on deep learning from UAV remote sensing images	72
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision	68
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture	68
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment	62
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting	59
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level	57
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis	57
Pedology-based management class establishment: a study case in Brazilian coffee crops	55
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops	55
A coupled atomization-spray drift model as online support tool for boom spray applications	54
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis	51
Combining 2D image and point cloud deep learning to predict wheat above ground biomass	48
Quantifying corn LAI using machine learning and UAV multispectral imaging	45
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization	45
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices	42
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8	40
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite	39
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits	38
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard	37

Repeatability of commercially available visible and near infrared proximal soil sensors	37
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control	36
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications	35
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research	35
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms	33
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation	33
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests	32
A meta-analysis of factors driving the adoption of precision agriculture	32