Automated process to identify optimal conditions and practices to grow plants with specific attributes

Fecha de publicación: 26/05/2022
Fuente: Wipo "precision agriculture"
The present invention identifies the optimal genetics, environment, and management practices and predicts the probability of growing a crop with the desired attributes, quantifies the attribute, scores relative performance, and identifies actions management can take to increase probability of growing plants with specific attributes. The present invention uses an improved technique of data acquisition known as intelligent sampling. Intelligent sampling functions by identifying a minimal dataset that is used to train the model disclosed herein while still achieving acceptable accuracy.