Crop Protection Using Cyber Physical Systems and Machine Learning for Smart Agriculture

Abstract

Currently the world is experiencing the global digital transformation of the fourth generation revolution for industry in the field of cyber physical systems (CPS) and artificial intelligence. Moreover, by utilizing artificial intelligence, cyber physical systems will be able to perform more proficiently, collaboratively, and spiritedly. Agriculture crop control is a process to protect the crop as much as possible so the crop is not infected by the different kinds of pests. Pests are any living organisms including insects, animals, weeds, pathogens, and other creatures that can harm the agriculture crop. Pests and other diseases cause an average of 20-30% global potential loss of crop production in every year. So, crop protection is required to reduce these losses. This chapter explores CPS concept to improve crop production to protect the crop from wild animals using machine learning and cyber physical systems. The smart agriculture process under CPS includes crop suggestion, irrigation and fertilization automation, crop protection, plant monitoring, and harvesting.