Remote sensing-based framework to predict and assess the interannual variability of maize yields in Pakistan using Landsat imagery-Reference-Cited by-同舟云学术

Remote sensing-based framework to predict and assess the interannual variability of maize yields in Pakistan using Landsat imagery

Published:2020-11 Issue: Volume:178 Page:105732
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Ahmad Ishfaq,Singh Aditya,Fahad Muhammad,Waqas Muhammad Mohsin

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference54 articles.

1. Satellite remote sensing and GIS-based crops forecasting & estimation system in Pakistan;Ahmad,2014

2. Yield forecasting of spring maize using remote sensing and crop modeling in Faisalabad-Punjab Pakistan;Ahmad;J. Indian Soc. Remote Sens.,2018

3. Yield forecasting of spring maize using remote sensing and crop modeling in Faisalabad-Punjab Pakistan;Ahmad;J. Indian Soc. Remote Sens.,2018

4. Climate change impacts and adaptation strategies for agronomic crops;Ahmad,2019

5. Optimizing irrigation and nitrogen requirements for maize through empirical modeling in semi-arid environment;Ahmad;Environ. Sci. Pollut. Res.,2018

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