OOIR: Observatory of International Research

Papers

(The H4-Index of Precision Agriculture is 33. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration	272
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates	249
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages	141
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS	135
Using UAV-based multispectral remote sensing imagery combined with DRIS method to diagnose leaf nitrogen nutrition status in a fertigated apple orchard	127
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting	118
A novel end-effector for a fruit and vegetable harvesting robot: mechanism and field experiment	85
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning	79
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture	70
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision	69
Red-green-blue to normalized difference vegetation index translation: a robust and inexpensive approach for vegetation monitoring using machine vision and generative adversarial networks	68
Recognition of sunflower growth period based on deep learning from UAV remote sensing images	65
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis	57
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8	56
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level	54
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis	49
Assessing seeding rate management strategies for maize production in South Africa: Insights from the Data Intensive Farm Management Project	48
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices	47
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops	47
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization	46
Combining 2D image and point cloud deep learning to predict wheat above ground biomass	45
A coupled atomization-spray drift model as online support tool for boom spray applications	44
Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits	43
Quantifying corn LAI using machine learning and UAV multispectral imaging	43
Developing an innovative stacking ensemble machine learning and multi-source data fusion-based precision nitrogen management strategy for corn	43

A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests	42
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research	41
Effects of variable rate irrigation and fertilization under center pivot system on water conservation, fertilizer efficiency, and yield in winter wheat	40
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control	39
Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications	38
Repeatability of commercially available visible and near infrared proximal soil sensors	35
Data fusion approach for predicting high resolution estimates of crop evapotranspiration	34
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite	34
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model	33
Changing perceptions of crop robotics in social media	33