Junho Yeom

Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet

Crop yield prediction using machine learning: A systematic literature review

Potential contribution of fusion power generation to low-carbon development under the Paris Agreement and associated uncertainties

Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture

A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses

An Area-Based Image Fusion Scheme for the Integration of SAR and Optical Satellite Imagery

Computer vision technology in agricultural automation —A review

Pixel-level image fusion: A survey of the state of the art

A Review on UAV-Based Applications for Precision Agriculture

Convolutional neural networks in predicting cotton yield from images of commercial fields

Machine learning-based approach: global trends, research directions, and regulatory standpoints

Machine Learning in Agriculture: A Comprehensive Updated Review

Strategies for mitigation of climate change: a review

Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data

Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data

Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes

Validation of agronomic UAV and field measurements for tomato varieties

Hybrid Pansharpening Algorithm for High Spatial Resolution Satellite Imagery to Improve Spatial Quality

Design concept of K-DEMO for near-term implementation