Big Data Fusion Challenge: Unmanned Aerial System Based Precision Agriculture

The International Conference of Computational Intelligence 2021 organized multi Remote Sensing Data Competitions, and a Big Data Fusion Challenge using UAS based precision Agriculture is coordinated by North Carolina A&T State University and Mississippi State University. The Big Data Challenge focused on Multi-sensor and Multitemporal datasets including the hyper spectral imagery with 251 bands. A multi-class problem is given to classify three different crops and at three yield levels. The challenge received multiple submissions and the winning approach is based on inference learning using residual neural networks with 150 layers with a performance of Kappa accuracy as 0.86.