An Intelligent Framework for Sustainable Horticulture: A Systematic Literature Review
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Abstract
The source of income and livelihood of around 70% of the Indian population depends on agriculture. Agriculture plays a significant role in the Indian economy. However, an exploding global population, a changing climate, global warming, soil pollution, rapid urbanization, and the exhaustion of arable land, among other issues, have harmed agriculture production and its dependents in India. Available cultivable land is decreasing yearly, and current food production using traditional farming practices will not be enough to feed millions of people in the coming days. There is a pressing need to revolutionize our agricultural and horticultural practices using advanced technologies like IoT, AI, cloud computing, data analytics, blockchain, etc.
In this study, we have presented a three-layered Internet of Things (IoT) architecture appropriate for horticulture production and conducted a Systematic Literature Review (SLR) to demonstrate the extensive research accomplished in various application domains of IoT and Artificial Intelligence (AI) concerning horticulture production cycle. In addition, we have discussed challenges and open issues in deploying IoT to horticulture from a three-layered perspective. Further, we differentiated existing research accomplished in the key application areas of IoT and AI concerning the horticulture production cycle. This article identifies key research areas that should be investigated, thereby assisting researchers, industry experts, and academicians in investigating open issues.