Data Science for Agricultural Innovation and Productivity

Applications of Smart Farming Sensors: A Way Forward

Author(s): Prasenjit Pal* and Sandeep Poddar

Pp: 175-193 (19)

DOI: 10.2174/9789815196177124010012

* (Excluding Mailing and Handling)

Abstract

The introduction of sensing-based technology has transformed the agriculture sector in many ways. This chapter explores the potential of sensing-based technology, including big data and artificial intelligence, in agriculture to lower production costs and increase yield efficiencies. The application of various sensors is explained in various sectors of agriculture, like crop farming, animal farming, and fish farming. This technology has the potential to automate farming and has the ability to shift to precise cultivation for higher crop yields and better quality while using the minimum resources. This chapter also elaborates on the different types of sensors used in agriculture, their benefits, and related issues for their various applications. These technologies have some real issues in the application, which need to be sorted out, and more efforts should be made to make the product more cost effective, relevant, and customized for the use of farmers.


Keywords: Sensing based technology, Artificial intelligence, Big data and automation.

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