no code implementations • 6 Jan 2021 • Abhisesh Silwal, Tanvir Parhar, Francisco Yandun, George Kantor
While transfer learning and data augmentation to some extent reduce the need for large amount of data to train deep neural networks, the large variety of cultivars and the lack of shared datasets in agriculture makes wide-scale field deployments difficult.