The Special Session on “Machine Learning & ANN bases Development for Agriculture Sustainability” is pleased to invite you to respond to our Call for Submissions for ICSTCEE2020, to be held from 10 - 11July 2020 at the REVA University, Bangalore.
Agriculture plays a critical role in the global economy. Day by day demand & pressure on the agricultural system will increase with the rapid expansion of the human population. Machine learning is everywhere throughout the whole growing and harvesting cycle. It begins with a seed being planted in the soil from the soil preparation, seeds breeding and water feed measurement and it ends when robots pick up the harvest determining the ripeness with the help of computer vision. Agriculture technology and precision farming, now also termed digital agriculture, have arisen as new scientific fields that use data intense approaches to drive agricultural productivity while minimizing its environmental impact. The data generated in modern agricultural operations is provided by a variety of different sensors that enable a better understanding of the operational environment (an interaction of dynamic crop, soil, and weather conditions) and the operation itself (machinery data), leading to more accurate and faster decision making.
Topics of interest include, but are not limited to:
The entire session were categorized in (a) crop management, including applications on yield prediction, disease detection, weed detection crop quality, and species recognition; (b) livestock management, including applications on animal welfare and livestock production; (c) water management; and (d) soil management etc.
Dr. Sandeep Kumar, Sreyas Institute of Engineering and Technology Hyderabad, India. Dr. K M.V.V Prasad, Sreyas Institute of Engineering and Technology Hyderabad, India. Dr. Rohit Raja, Central University, Chhattisgarh, India. Dr. Munish Kumar, Automation Engineer, Enviro Infra Engineers Pvt. Ltd., Delhi.