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Applications of Machine Learning and Internet of Things in Agriculture

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Green Technological Innovation for Sustainable Smart Societies

Abstract

With the rapid advancement of technology, people are passionate to get more intelligent living. Since agriculture is one of the significant industries that need to be developed in order to feed rapidly growing population. Thus, there is a need to support agriculture with technology in order to get the best yield. In recent years, automated field irrigation systems have been introduced to replace the traditional agricultural system. Lots of research have been carried out in smart agriculture. The intelligent agriculture is becoming one of the biggest applications of the Internet of things (IoT). IoT and machine learning have helped researchers to develop smart and reliable systems. There are many different systems such as crops irrigation system and crop health predication systems. These systems assist farmers to increase the productivity. The irrigation system can be categorized either manually or automatically. Manual irrigation needs a lot of time and effort. In comparison with automated irrigation, the automated irrigation system can conserve water and increase productivity because water is supplied only when it is needed with limited or no human assistance. Moreover, the plant may suffer from diseases, which negatively affects the yield. Therefore, it is necessary to identify the disease in the early stages and find an appropriate cure. Machine learning allows systems to learn and improve automatically from experiences. Hence, intelligence can be applied in interpreting agricultural data obtained and accordingly analyze data for predicting the output. This chapter highlights the work done in agriculture field using machine learning and IoT.

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Author information

Authors and Affiliations

  1. Electrical and Electronic Engineering Department, University of Tripoli, Tripoli, Libya

    Arij Naser Abougreen

  2. Electronics & Communication Engineering, Birla Institute of Technology, Ranchi, India

    Chinmay Chakraborty

Authors
  1. Arij Naser Abougreen
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  2. Chinmay Chakraborty
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Correspondence to Arij Naser Abougreen .

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Editors and Affiliations

  1. Electronics and Communications Engineering, Birla Institute of Technology, Mesra, Deoghar, Jharkhand, India

    Chinmay Chakraborty

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Abougreen, A.N., Chakraborty, C. (2021). Applications of Machine Learning and Internet of Things in Agriculture. In: Chakraborty, C. (eds) Green Technological Innovation for Sustainable Smart Societies. Springer, Cham. https://doi.org/10.1007/978-3-030-73295-0_12

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