Contents: 1. Introduction to artificial intelligence. 2. Artificial intelligence and machine learning in agriculture. 3. Artificial intelligence in horticulture. 4. Artificial intelligence in forestry. 5. Sericulture and artificial intelligence. 6. Artificial intelligence in fisheries. 7. Artificial intelligence in veterinary sciences. 8. Steps to build machine learning model. 9. References. 

Artificial Intelligence is a very large field, so broad indeed that it would not be possible for a book to cover it all. We have selected different fields for each chapter that we find interesting to explore. The various chapters of the book focus on applications of Machine Learning in different sectors of Agriculture, Horticulture, Forestry, Sericulture, Fisheries and Veterinary Sciences. The book throws light on the basic algorithms of Machine Learning and how they can be implemented to solve different use cases. The book also discusses over various successful startups in their respective fields.