Crop Diversification

Crop diversification, the practice of growing a variety of crops in a given area, is being intensely studied for its potential to enhance agricultural sustainability and resilience, particularly in the face of climate change. Current research employs machine learning techniques, including causal inference methods and variational autoencoders, to analyze the impacts of diversification on productivity and resource allocation (e.g., water), often incorporating Earth observation data and considering factors like drought and temperature. These studies aim to quantify the benefits of diversification, inform optimal management strategies, and ultimately contribute to more efficient and environmentally sound agricultural practices.