Tackling Food Insecurity Using Remote Sensing and Machine Learning-Based Crop Yield Prediction

Tackling Food Insecurity Using Remote Sensing and Machine Learning-Based Crop Yield Prediction

Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, optimally utilizing resources, promoting economic growth, enhancing climate resilience, controlling losses, and mitigating risks in the agricultural industry. Accurate yield prediction depends upon sev...

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Bibliographic Details
Main Authors: Uferah Shafi, Rafia Mumtaz, Zahid Anwar, Muhammad Muzyyab Ajmal, Muhammad Ajmal Khan, Zahid Mahmood, Maqsood Qamar, Hafiz Muhammad Jhanzab
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Regression
wheat yield
remote sensing
machine learning
food security
unmanned aerial vehicle (UAV)
Online Access:https://ieeexplore.ieee.org/document/10267965/

Internet

https://ieeexplore.ieee.org/document/10267965/

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