Application of Machine Learning in Agriculture

Mohammad Ayoub Khan is Associate Professor at the University of Bisha in Bisha, Saudi Arabia. Rijwan Khan is Professor and Head of Department of Computer Science at the ABES Institute of Technology in Uttar Pradesh, India. Scientist Professor, Department of Agriculture Communication, College of Agriculture, G B Pant University of Agriculture and Technology, Pantnagar (Uttarakhand). Post-doctoral studies at University of Leicester (UK). Received Senior Research Fellowship during doctoral studies and UNDP/ICAR scholarship during post-graduation at Pantnagar University. He is chairman of the editorial board of Indian Journal of Science Communication and has nearly 25 years’ experience in different capacities in corporate, governmental, NGO and Academic institutions. He has worked in that time has included focuse on the use of technologies in agricultural settings, including the use of mobile phones, e-learning, and internet use. His research interests include ICT applications in agriculture and rural development, Development Communication, Training, Health Communication and Science Communication.

Part 1: Fundamentals of Smart Agriculture
1. Machine learning based Agriculture
2. Monitoring agriculture essentials
3. Livestock management in agriculture

Part 2: Market, Technology and products
4. Agriculture Economics
5. Digital Marketing and its impact
6. Technology and products

Part 3: Tools and Techniques
7. Modeling Techniques used in Smart Agriculture
8. Diseases detection
9. Food Security
10. Medicines Care Management
11. Detection and diagnosis of plant diseases
12. Machine Learning Technique for agriculture image recognition