Artificial Intelligence in Modern Farming - A Fantasy and Reality

Artificial Intelligence (AI) and Machine learning (ML) deals with a domain such as Biology, Computer Science, Psychology, Mathematics, and other allied engineering fields. It also finds its application in agriculture to improve the cultivation rate with optimum use of manpower and other resources. It plays a vital role in precision agriculture and identifying the different types of diseases spread in the plants. It also detects the pests and poor nutrition of the farms and suggests the appropriate pesticides and fertilizers. The sensors based on machine learning can detect & target the weeds: it recommends the suitable herbicide to apply within the zone of farms to improve the cultivation. Hence Artificial Intelligence and Machine Learning convert the conventional method of farming into modern agriculture. This monograph discusses the possibilities and challenges of implementing Artificial Intelligence & Machine Learning concepts in modern agriculture.

Autorentext

Dr L Anand, Dr L N B Srinivas and Dr G Maragatham are presently associated with School of Computing, SRM Institute of Science and Technology, India. Their research area includes Machine Learning Algorithms, Blockchain Management, Data Mining, Sensor Networks and Big Data Analytics. They have published their research articles in reputed journals.