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 2020-10-01 to 2024-10-01.)

Article	Citations
Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments	174
Robots in agriculture: prospects, impacts, ethics, and policy	126
Intelligent robots for fruit harvesting: recent developments and future challenges	95
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior	85
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat	85
Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer	79
Orchard management with small unmanned aerial vehicles: a survey of sensing and analysis approaches	63
Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: a review	49
How can precision farming work on a small scale? A systematic literature review	46
The adoption of drones in German agriculture: a structural equation model	45
Precision agriculture technology adoption: a qualitative study of small-scale commercial “family farms” located in the North China Plain	44
A review of methods to evaluate crop model performance at multiple and changing spatial scales	42
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery	42
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment	42
Phenotyping a diversity panel of quinoa using UAV-retrieved leaf area index, SPAD-based chlorophyll and a random forest approach	41
Field assessment of a pulse width modulation (PWM) spray system applying different spray volumes: duty cycle and forward speed effects on vines spray coverage	39
Adoption of digital technologies in agriculture—an inventory in a european small-scale farming region	37
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map	36
An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features	35
A hybrid representation of the environment to improve autonomous navigation of mobile robots in agriculture	35
Suitability of satellite remote sensing data for yield estimation in northeast Germany	35
An accurate method for predicting spatial variability of maize yield from UAV-based plant height estimation: a tool for monitoring agronomic field experiments	35
Plant disease detection using drones in precision agriculture	35
Drivers and challenges of precision agriculture: a social media perspective	34
RS-Net: robust segmentation of green overlapped apples	33

Hyperspectral assessment of leaf nitrogen accumulation for winter wheat using different regression modeling	33
Pineapple (Ananas comosus) fruit detection and localization in natural environment based on binocular stereo vision and improved YOLOv3 model	32
Statistical and machine learning methods for crop yield prediction in the context of precision agriculture	28