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Big Data in Crop Yield Stability Analysis by Haseeb Arshad is a document available to read on EtoBox.

What is Big Data in Crop Yield Stability Analysis about?

This research focuses on digital agriculture and the use of big data analytics to enhance crop yield stability and land productivity in Western Canada. By employing a multi-scale stacked machine learning approach, the study maps spatio-temporal crop yields for canola and wheat, classifying arable lands into productivity categories. The findings aim to support sustainable agricultural practices while addressing greenhouse gas emissions and improving economic returns for producers.

Author

Haseeb Arshad

Language

EN