Работы, цитирующие эту работу

Работ: 2

Работа: Crop yield prediction from remotely sensed vegetation indices and primary productivity in arid and semi-arid lands

1. Framework for agricultural performance assessment based on MODIS multitemporal data

   Dimo Dimov, Fabian Löw, Johannes Uhl +4

   СтатьяRemote Sensing in AgricultureJournal of Applied Remote Sensing2019Цитирований: 9

   ABIABI:AkademIndex/openalex/2026.other.201629

2. Sunflower crop yield prediction by advanced statistical modeling using satellite-derived vegetation indices and crop phenology

   Khilola Amankulova, Nizom Farmonov, Uzbekkhon Mukhtorov +1

   СтатьяRemote Sensing in AgricultureGeocarto International2023Цитирований: 7

   ABIABI:AkademIndex/openalex/2023.article.000152