The review identifies nine major functional domains where AI is significantly altering sustainable practices, including ...

use of specialized fertilizers, insecticides by crop, planting cycles and irrigation cycles all affect yield is a perfect problem for machine learning. How financially successful a crop cycle has ...

Instead, Descartes relies on 4 petabytes of satellite imaging data and a machine learning algorithm to figure out how healthy the corn crop is from space. Corn yield prediction is big business in ...

Using machine learning, Heritable analyzes plant genomes to determine combinations that could improve crop production. By way of example, Zamft writes, “By understanding those genomes ...

While crop yield has achieved a substantial boost from nanotechnology ... researchers at Texas A&M University have used machine learning to evaluate the salient properties of metallic nanoparticles ...

Computer scientists define machine learning as a form of artificial intelligence that enables computers to use historical data ... have more successful crop yields, said Farooque.

While crop yield has achieved a substantial boost from nanotechnology ... researchers at Texas A&M University have used machine learning to evaluate the salient properties of metallic nanoparticles ...