Paving the Way for Smart Agriculture in India
Debasish Kumar Mallick,
Ratula Ray and
Satya Ranjan Dash ()
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Debasish Kumar Mallick: KIIT University
Ratula Ray: KIIT University
Satya Ranjan Dash: KIIT University
Chapter Chapter 6 in The Digitalization Conundrum in India, 2020, pp 109-122 from Springer
Abstract:
Abstract The importance of technologies, such as artificial intelligence (AI), big data analytics, Internet of Things (IoT) and automation, is extremely essential for a country like India to showcase its influence in the global platform and will bring about a drastic change in the socio-economic scenario of the country. This chapter is focused on the implementation of newer technologies in agriculture and creating smarter ways to use available energy resources judiciously. Three case studies address different problems faced in agricultural practices. The first concerns the facial recognition technology that detects the presence of the worker assigned to the job and as per requirement, the machine starts. In case of the occurrence of air pollution, the detection sensor will detect and activate the air purifier. The second case study depicts the design for a smart greenhouse equipped with monitoring systems and temperature, moisture and light sensors which creates a self-regulating environment to provide an optimal condition for the plants to grow and efficiently save energy at the same time. The third case study addresses the issue of detecting coffee plants infested with bugs which produce a characteristic noise and causes stem rot in coffee plants. Our design suggests an amalgamation of a noise-detecting sensor, drone with GPS facility and a robot equipped with the cutting of the infested plant. Undertaking such challenging projects would pave a path for spearheading technological advancements for India in the global platform.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isbchp:978-981-15-6907-4_6
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DOI: 10.1007/978-981-15-6907-4_6
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