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 2022-08-01 to 2026-08-01.)

Article	Citations
Hyperspectral sensing and mapping of soil carbon content for amending within-field heterogeneity of soil fertility and enhancing soil carbon sequestration	301
Near real-time yield forecasting of winter wheat using Sentinel-2 imagery at the early stages	159
Recognition of sunflower growth period based on deep learning from UAV remote sensing images	149
Soil2Cover: Coverage path planning minimizing soil compaction for sustainable agriculture	112
On-farm experimentation: assessing the effect of combine ground speed on grain yield monitor data estimates	93
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
Detection of downy mildew infection in grapevine leaves using field spectroscopy and machine learning	74
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting	72
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	61
Integrating computer vision and precision sprayers for targeted green fruit chemical thinning	59
Recognition of mango and location of picking point on stem based on a multi-task CNN model named YOLOMS	59
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis	57
Smart UAV-assisted blueberry maturity monitoring with Mamba-based computer vision	57
UAV-based canopy monitoring: calibration of a multispectral sensor for green area index and nitrogen uptake across several crops	54
Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8	52
Joint plant-spraypoint detector with ConvNeXt modules and HistMatch normalization	52
Improving spatial resolutions of unmanned aerial vehicle hyperspectral images to predict grain yield and protein content in rice	52
A modified crop water stress index (mCWSI) for rainfed crops by accounting spatial variability of leaf temperature	47
Developing an innovative stacking ensemble machine learning and multi-source data fusion-based precision nitrogen management strategy for corn	46
Use of remote sensing-derived fPAR data in a grapevine simulation model for estimating vine biomass accumulation and yield variability at sub-field level	45
Quantifying corn LAI using machine learning and UAV multispectral imaging	42
Improved estimation of herbaceous crop aboveground biomass using UAV-derived crop height combined with vegetation indices	40
Assessing seeding rate management strategies for maize production in South Africa: Insights from the Data Intensive Farm Management Project	39
Combining 2D image and point cloud deep learning to predict wheat above ground biomass	39

Impact of soil electrical conductivity-based site-specific seeding and uniform rate seeding methods on winter wheat yield parameters and economic benefits	38
Spectral characteristics of winter wheat varieties depending on the development degree of Pyrenophora tritici-repentis	38
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests	38
Prediction of foliar nutrient concentrations and yield of avocado using on-farm and laboratory based hyperspectral imaging	37
Quantifying real-time opening disk load during planting operations to assess compaction and potential for planter control	36
Repeatability of commercially available visible and near infrared proximal soil sensors	35
Optimal treatment placement for on-farm experiments: pseudo-Bayesian optimal designs with a linear response plateau model	35
Correction to: Chickpea leaf water potential estimation from ground and VENµS satellite	35
Evaluation of the PROMET model for yield estimation and N fertilization in on-farm research	35
Data fusion approach for predicting high resolution estimates of crop evapotranspiration	34
Hyperspectral assessment of bacterial blight disease in red kidney beans by feature selection and machine learning algorithms	34
Changing perceptions of crop robotics in social media	34