How to predict agricultural yield with artificial intelligence

The methods of predicting agricultural yields with artificial intelligence are as follows:

1, data analysis: using machine learning and deep learning algorithms, analyze a large amount of crop data, extract useful information, and provide decision-making support for breeding technology.

2, genomics research: using gene sequencing and analysis technology, in-depth study of the genome structure and function of crops, to provide basic support for breeding technology.