Machine learning and deep learning for smart agriculture and applications [electronic resource] / edited by Mohammad Farukh Hashmi and Avinash G. Keskar.

"As health monitoring of plants and fruits is essential for sustainable agriculture. In the agriculture farming business, plant diseases are the major reason for monetary misfortunes around the globe. Automated detection and identification of plant diseases using sophisticated image processing coupled with advanced computer vision techniques results in accurate and fast identification with less human effort and labor cost. This book is to to provide an efficient solution for the detection of plants and fruit diseases, using various machine learning and deep learning techniques. The objective of the book is to find out how agriculture is involved with prepared and efficient profound learning algorithms. There are huge prospects for agriculture administration through the proper use of Machine Learning, Deep Learning, Big Data, and IoT structures. The majority of agricultural research institutes have already adopted Internet of Things for the monitoring of a variety of farm services"-- Provided by publisher.