Harvest chronological planning using a method based on satellite-derived vegetation indices and artificial neural networks

Autor: Hossein Navid, Reza Adiban, Yasser Maghsodi, Sepideh Taghizadeh

Publikováno v: Spanish Journal of Agricultural Research; Vol. 17 No. 3 (2019); e0206
Spanish Journal of Agricultural Research; Vol. 17 Núm. 3 (2019); e0206
SJAR. Spanish Journal of Agricultural Research
instname
Spanish Journal of Agricultural Research; Vol 17, No 3 (2019); e0206
Spanish Journal of Agricultural Research, Vol 17, Iss 3, Pp e0206-e0206 (2019)

Aim of study: Wheat appropriate harvest date (WAHD) is an important factor in farm monitoring and harvest campaign schedule. Satellite remote sensing provides the possibility of continuous monitoring of large areas. In this study, we aimed to investi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45a9cbfa0723174650fdbc0ea3b7a19
https://revistas.inia.es/index.php/sjar/article/view/14357