Shehroz Shafiq KhanFA16-BCS-153Dr. Zeeshan GillaniLHR TP 61492026-02-132020https://repository.cuilahore.edu.pk/handle/123456789/1573The population around the globe is increasing at an alarming rate, which results in the food crisis in the following couple of decades. The use of advanced technologies such as remote sensing with the help of satellite or unmanned aerial vehicle (UAV) could be used to overcome this problem. Drone-based image techniques could be used for crop yield prediction, crop identification, water management, weather, and environmental factors could be observed. With the help of Convolutional neural network (CNN) based models, we can extract some important features from it, and with the help of those features, we can estimate our crop yield.Crop Analytic Using Drone ImagingFA16TECHNOLOGY::Information technology::Computer science::Computer scienceThesis