Modelling of Alfalfa Yield Forecasting Based on Earth Remote Sensing (ERS) Data and Remote Sensing Methods

This study aims to develop a method for modelling early forecasting of alfalfa yield on a farm scale located in East Kazakhstan. The authors evaluated the correlation coefficient between forage crop yield and different data sets, including weather data, climate indices, spectral indices from drones...

Full description

Bibliographic Details
Main Authors: Marzhan Anuarbekovna Sadenova, Nail Alikuly Beisekenov, Baitak Apshikur, Sergey Sergeevich Khrapov, Azamat Kaisarovich Kapasov, Asel Mukhtarkanovna Mamysheva, Jirí Jaromír Klemeš
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2022-09-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/12673