OOIR: Observatory of International Research

Papers

(The H4-Index of Precision Agriculture is 28. 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 2020-04-01 to 2024-04-01.)

Article	Citations
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments	123
Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model	109
Robots in agriculture: prospects, impacts, ethics, and policy	101
Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data	69
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer	65
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior	64
Status quo of adoption of precision agriculture enabling technologies in Swiss plant production	61
Intelligent robots for fruit harvesting: recent developments and future challenges	60
Automated crop plant counting from very high-resolution aerial imagery	58
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat	56
Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques	52
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches	52
Understanding the adoption of smartphone apps in crop protection	50
Deep neural networks for grape bunch segmentation in natural images from a consumer-grade camera	40
Brown rice planthopper (Nilaparvata lugens Stal) detection based on deep learning	40
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery	36
The adoption of drones in German agriculture: a structural equation model	36
Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation	35
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review	35
Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage	34
Optimizing precision irrigation of a vineyard to improve water use efficiency and profitability by using a decision-oriented vine water consumption model	33
Drivers and challenges of precision agriculture: a social media perspective	33
Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain	32
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment	30
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture	30

Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling	30
Real-time detection of rice phenology through convolutional neural network using handheld camera images	30
Suitability of satellite remote sensing data for yield estimation in northeast Germany	29
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features	28
A review of methods to evaluate crop model performance at multiple and changing spatial scales	28
Biophysical parameters of coffee crop estimated by UAV RGB images	28