Jong‐Min Yeom

Retrieving high-resolution surface solar radiation with cloud parameters derived by combining MODIS and MTSAT data

Google Earth Engine: A Global Analysis and Future Trends

A comparative study of deep learning and Internet of Things for precision agriculture

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

A review of UAV monitoring in mining areas: current status and future perspectives

Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture

Solar energy: Potential and future prospects

Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?

Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Deep learning in environmental remote sensing: Achievements and challenges

Evolution of regional to global paddy rice mapping methods: A review

A Review on UAV-Based Applications for Precision Agriculture

Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review

A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques

Deep Learning for Intelligent Human–Computer Interaction

Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea

Neural network determination of cloud attenuation to estimate insolation using MTSAT‐1R data

Monitoring canopy growth and grain yield of paddy rice in South Korea by using the GRAMI model and high spatial resolution imagery

Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea

Effect of red-edge and texture features for object-based paddy rice crop classification using RapidEye multi-spectral satellite image data

Multi-Temporal Spectral Analysis of Rice Fields in South Korea Using MODIS and RapidEye Satellite Imagery

Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model

Improved estimation of surface solar insolation using a neural network and MTSAT-1R data

Comparison of NDVIs from GOCI and MODIS Data towards Improved Assessment of Crop Temporal Dynamics in the Case of Paddy Rice