Digitalization of agriculture by using the application of IoT and robotics

Sadu, Vijaya Bhaskar; Budidha, Nagaraju; Billewar, Satish Rupraoji; Pimo, S John; Kumar, Durgesh; Kumar, T. Ch. Anil

doi:10.1109/iihc55949.2022.10060724

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2023

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Cited by 2 publications

References 16 publications

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Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle

Lo,

Deng,

Shi

2023

2023 IEEE International Conference on Big Data (BigData)

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Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle

Lo,

Deng,

Shi

2023

2023 IEEE International Conference on Big Data (BigData)

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A Comprehensive Study on Smart Farming for Transforming Agriculture Through Cloud and IoT

Poonia,

Lakshmi,

Garg

et al. 2023

Advances in Environmental Engineering and Green Technologies

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The amount of food produced in fields is directly proportional to the Earth's growing population. Taking into account the deteriorating climatic conditions and ineffective agricultural productivity, we must modernize our agricultural methods immediately. India is second in terms of agricultural performance. The main concerns that farmers have are crop rotation, fertilizer use, and irrigation. Due to technological advancements, farmers nowadays are unable to produce their crops to their maximum potential. The main focus is on utilizing contemporary technology in agriculture and using it to boost yield. We can now better estimate crop output thanks to the deployment of IoT in agriculture and cloud computing. Implementing IoT and cloud computing strategies is a way to overcome challenges in agriculture. This chapter gives a brief summary of the integration of cloud and IoT (internet of things) technologies into agricultural practices, which will make agricultural practices smarter.

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Digitalization of agriculture by using the application of IoT and robotics

Cited by 2 publications

References 16 publications

Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle

Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle

A Comprehensive Study on Smart Farming for Transforming Agriculture Through Cloud and IoT

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