OOIR: Observatory of International Research

Papers

(The H4-Index of Precision Agriculture is 34. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration	203
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates	202
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning	113
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision	104
Recognition of sunflower growth period based on deep learning from UAV remote sensing images	103
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages	96
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks	76
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture	74
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting	74
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment	64
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard	63
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS	63
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis	61
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization	59
A coupled atomization-spray drift model as online support tool for boom spray applications	54
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis	51
Combining 2D image and point cloud deep learning to predict wheat above ground biomass	50
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops	46
Quantifying corn LAI using machine learning and UAV multispectral imaging	45
Pedology-based management class establishment: a study case in Brazilian coffee crops	44
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level	41
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8	41
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices	40
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite	40
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests	39

Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model	39
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits	39
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control	37
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research	36
Data fusion approach for predicting high resolution estimates of crop evapotranspiration	36
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications	35
Unmanned aerial system plant protection products spraying performance evaluation on a vineyard	35
The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation	35
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms	35