A Review Application of Machine Learning in Agriculture Supply Chain to Improve Food and Agriculture Industry

Abstract

The application of Artificial Intelligence (AI) has been evident in the agricultural sector recently. Artificial intelligence (AI) is a creative tool that simulates the human intelligence and ability processes by machines, principally computer systems, robotics, and digital equipment The world population is expected to reach over 9 billion by 2050, which will require an increase in agricultural and food production by 70% to fit the need, a serious challenge for the agric-food industry. Such requirement, in a context of resources scarcity, climate change, COVID-19 pandemic, and very harsh socioeconomic conjecture, is difficult to fulfill without the intervention of computational tools and forecasting strategy. Hereby, the study report the importance of artificial intelligence and machine learning as a predictive multidisciplinary approach integration to improve the food and agriculture sector, yet with some limitations. The prospect to the challenges among others include training of humans to operate AI and Machine learning system. This is needed inorder to curb the major problem of unemployment which AI and Machine learning system will introduce due to the capability of the system to do the majority of the repetitive works and tasks.