Agricultural Informatics - Automation Using IoT and Machine Learning: Automation Using the IoT and Machine Learning (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)

by Amitava Choudhury, Joydeep Dutta, Arindam Biswas, Manish Prateek, and Amlan Chakraborty

Amitava Choudhury (Editor), Arindam Biswas (Editor), Manish Prateek (Editor), Amlan Chakraborty (Editor), Amlan Chakrabarty (Editor), and Amlan Chakrabarti (Editor)

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Book cover for Agricultural Informatics - Automation Using IoT and Machine Learning

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Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc.

Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

  • ISBN10 1119768845
  • ISBN13 9781119768845
  • Publish Date 30 March 2021 (first published 25 February 2021)
  • Publish Status Active
  • Publish Country US
  • Imprint John Wiley & Sons Inc
  • Format Hardcover
  • Pages 304
  • Language English