Machine Learning for Smart Farming: A Focus on Desert Agriculture

摘要

Globally, farming is the great support of all economic growth. Three main developments such as demographics, scarcity of natural resources, climate changes are placing pressure on agriculture to meet the demands of the future. Smart farming achieves lucrative and supportable agriculture due to the advancement of the Internet of Things (IoT). Applications of machine learning techniques in the development of smart farming applications help the farmers to have access to farming information, financial and marketing services. This paper aims to address the supports provided by IoT and machine learning techniques in agriculture data collection, processing, and decision-making services for smart farming. Also, this paper addressed the general trends for applying smart farming techniques, its challenges and recommendations to cultivate differently in the desert areas of Saudi Arabia.