Agricultural Informatics. Группа авторов
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*Corresponding author: [email protected]
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Smart Farming Using Machine Learning and IoT
Alo Sen1, Rahul Roy1* and Satya Ranjan Dash2
1ei2 Classes and Technologies, Durgapur, India2School of Computer Application, KIIT University, Bhubaneswar, India
Abstract
From the early civilization till the date, three things: Shelter, Garment and Food are main mantra of a human being. People are quite advanced with modern houses and dresses. But with increased population of Earth, As per UN Food and Agriculture Organization, people will have to produce 70% more food in 2050 rather than it did in 2006. In recent years IoT had been used to meet the challenge of different industrial and technical purposes. Now it is the time to meet the demand of future farming which can only be accomplished by smart Agro-IoT tool. There is a need to boost the productivity and minimize the pitfalls of traditional farming which is the main backbone of World’s Economical growth. IoT will help in continuous monitoring of the field to give useful information to the farmers which will add a new era in future farming. IoT tool can be implemented for monitoring climate change, water management, land monitoring, increasing productivity, monitoring crops, controlling insecticides and pesticides, soil management, detecting plant diseases, increasing the rate of crop sale etc. In this book chapter we will focus on some case studies like monitoring of climate conditions, greenhouse automation, crop management, cattle monitoring and management for smart farming with IoT device which will provide a clear idea why to use the technique in agriculture rather than some pre existing agricultural tool developed earlier.
Keywords: Smart farming, agro-IoT, agricultural tool, efficiency, productivity, IoT