Citations (22)
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Daniel Marc G dela Torre, Jay Gao & Cate Macinnis-Ng. (2021) Remote sensing-based estimation of rice yields using various models: A critical review. Geo-spatial Information Science 24:4, pages 580-603.
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Ya’nan Zhou, Jiancheng Luo, Li Feng, Yingpin Yang, Yuehong Chen & Wei Wu. (2019) Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data. GIScience & Remote Sensing 56:8, pages 1170-1191.
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Cho-ying Huang, Hsin-Lin Wei, Jiann-Yeou Rau & Jyun-Ping Jhan. (2019) Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR. GIScience & Remote Sensing 56:4, pages 605-623.
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Daniela Stroppiana, Paolo Villa, Giovanna Sona, Giulia Ronchetti, Gabriele Candiani, Monica Pepe, Lorenzo Busetto, Mauro Migliazzi & Mirco Boschetti. (2018) Early season weed mapping in rice crops using multi-spectral UAV data. International Journal of Remote Sensing 39:15-16, pages 5432-5452.
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Articles from other publishers (16)
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Yahui Guo, Shouzhi Chen, Yongshuo H. Fu, Yi Xiao, Wenxiang Wu, Hanxi Wang & Kirsten de Beurs. (2022) Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams. Remote Sensing 14:2, pages 244.
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Seungtaek Jeong, Jonghan Ko & Jong-Min Yeom. (2022) Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea. Science of The Total Environment 802, pages 149726.
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Yi Ma, Qi Jiang, Xianting Wu, Renshan Zhu, Yan Gong, Yi Peng, Bo Duan & Shenghui Fang. (2020) Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data. Remote Sensing 13:1, pages 86.
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Gengyuan Liu, Xueqi Wang, Giovanni BaiocchiMarco Casazza, Fanxin MengYanpeng CaiYan HaoFeng Wu & Zhifeng Yang. (2020) On the accuracy of official Chinese crop production data: Evidence from biophysical indexes of net primary production. Proceedings of the National Academy of Sciences 117:41, pages 25434-25444.
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Tianhua He & Chengdao Li. (2020) Harness the power of genomic selection and the potential of germplasm in crop breeding for global food security in the era with rapid climate change. The Crop Journal 8:5, pages 688-700.
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Vasileios Sitokonstantinou, Antonios Koutroumpas, Thanassis Drivas, Alkiviadis Koukos, Vassilia Karathanassi, Haris Kontoes & Ioannis Papoutsis. (2020) A Sentinel based agriculture monitoring scheme for the control of the CAP and food security. A Sentinel based agriculture monitoring scheme for the control of the CAP and food security.
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Van Cuong Nguyen, Seungtaek Jeong, Jonghan Ko, Chi Tim Ng & Jongmin Yeom. (2019) Mathematical Integration of Remotely-Sensed Information into a Crop Modelling Process for Mapping Crop Productivity. Remote Sensing 11:18, pages 2131.
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Wouter H. Maes & Kathy Steppe. (2019) Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture. Trends in Plant Science 24:2, pages 152-164.
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Jong-min Yeom, Seungtaek Jeong, Gwanyong Jeong, Chi Tim Ng, Ravinesh C. Deo & Jonghan Ko. (2018) Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model. Scientific Reports 8:1.
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Seungtaek Jeong, Jonghan Ko & Jong-Min Yeom. (2018) Nationwide Projection of Rice Yield Using a Crop Model Integrated with Geostationary Satellite Imagery: A Case Study in South Korea. Remote Sensing 10:10, pages 1665.
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Seonyoung Park, Jungho Im, Seohui Park, Cheolhee Yoo, Hyangsun Han & Jinyoung Rhee. (2018) Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data. Remote Sensing 10:3, pages 447.
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