Integrating Remote Sensing Techniques and Meteorological Data to Assess the Ideal Irrigation System Performance Scenarios for Improving Crop Productivity

Integrating Remote Sensing Techniques and Meteorological Data to Assess the Ideal Irrigation System Performance Scenarios for Improving Crop Productivity

To increase agricultural productivity and ensure food security, it is important to understand the reasons for variations in irrigation over time. However, researchers often avoid investigating water productivity due to data availability challenges. This study aimed to assess the performance of the i...

Full description

Bibliographic Details
Main Authors: Heman Abdulkhaleq A. Gaznayee, Sara H. Zaki, Ayad M. Fadhil Al-Quraishi, Payman Hussein Aliehsan, Kawa K. Hakzi, Hawar Abdulrzaq S. Razvanchy, Michel Riksen, Karrar Mahdi
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
irrigation system
NDVI
NDMI
meteorological data
center pivot
Online Access:https://www.mdpi.com/2073-4441/15/8/1605

Internet

https://www.mdpi.com/2073-4441/15/8/1605

Similar Items