Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan

Autor:	Huan Sheng Lin, Horng-Yuh Guo, Shu Ling Chen, Chi Farn Chen, Shih Hsiang Chen, Youg Sing Cheng, Nguyen Thanh Son, Cheng Ru Chen
Rok vydání:	2020
Předmět:	Crop Satellite data Yield (wine) digestive oral and skin physiology fungi food and beverages General Earth and Planetary Sciences Production (economics) Agricultural engineering Crop management Rice crop Mathematics
Zdroj:	International Journal of Remote Sensing. 41:7868-7888
ISSN:	1366-5901 0143-1161
DOI:	10.1080/01431161.2020.1766148
Popis:	Rice is the most important food crop in Taiwan, directly feeding more than 23 million people in the country. Information on rice production is thus crucial for crop management and food policymaking...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::51a6f9d97a8fe5f0e5de16376cd748ee https://doi.org/10.1080/01431161.2020.1766148 Zobrazit plný text záznamu