The Cotton Leaf Disease Detection Dataset represents a valuable resource for researchers, practitioners, and stakeholders in the agricultural sector, offering insights and tools to address the challen
This dataset was used in a research paper called "Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop", where we propose an algorithm and a mobile
This peach tree disease detection dataset is a multimodal, multi-angle dataset which was constructed for monitoring the growth of peach trees, including stress analysis and prediction. An orchard of p
A modeling approach based on dynamic Bayesian Network was implemented to simulate the evolution of health status of a set of canola fields considering various spatial and temporal sizes of Epidemio Su
