Researchers from IIIT-Delhi and MS Swaminathan Research Foundation developed SICKLE, a multi-satellite dataset combining imagery and field data to help AI identify crops, track growth stages and predict yields. The dataset covers 388 plots, 21 crop types and 209,000 images
The platform encompasses advanced AI modules capable of predicting geroprotective potential, evaluating toxicity, and identifying target proteins and mechanisms of action. This comprehensive approach ensures both accuracy and safety in the discovery process
The ambition is to use the findings of the research to develop a state-of-the-art early warning system for widespread misinformation campaigns that will slow or stop its spread.
