 This research paper examined the use of unmanned aerial vehicles, UAVs, for detecting late leaf spot, LLS, disease in peanuts. Two new methods were developed, measurement index, MI, and coefficient of variation, CV, which were compared against the traditional threshold and mean based methods. The MI based method was found to provide the highest correlation with LLS disease scores, while the CV based method provided the best performance for SR index. A cooperative scheme combining the three methods was also proposed, which was applied to LLS detection in peanuts. This article was authored by Tej Bahadur Shahi, Chingyuan Su, Arjun Nupain, and others.