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Smart Agriculture and Autonomous Seed Sowing Robot Based

Jaya . Mishra

Abstract


Agriculture is a systematic process aimed at allowing natural and agricultural to use advanced technology like data, the web, and the IOT to record, analyses, automate, and evaluate actions. Smart farming, often called as precision agriculture, is controlled by software and monitored by sensors. As the global population expands, so does the desire for improved agriculture production, such importance to protect and conserve, the increased use and complexity of technological tools, and the growing demand for climate farming. Agriculture has been practised in every country for centuries. The science and skill of nurturing plants is known as agriculture. Agriculture was a critical step in the evolution of sedentary human society. Agriculture has been done by hand for centuries. As the world moves toward new technologies and applications, it is imperative that agriculture follow. Monitors have the ability toprovide data on farm areas. Our proposed a smart agro and IoT solution that's controlled. Sensors are
used in this IoT-based farm tracking system to receive information from sensors deployed at various nodes and send it through communication interface. Agriculture is the economic backbone of India. Agriculture is the primary profession of approximately half of our country's people. Monitors have the ability to provide data on farm areas. Agriculture is the economic backbone of India. Agriculture is the primary profession of approximately half of our country's people.


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References


Soil Testing in India”, Department of Agriculture & Co-operation, Ministry of Agriculture, Government of India, New Delhi, January, 2011.

Patrick Piper and Jacob Vogelpublished a paper on “Designing an Autonomous Soil Monitoring Robot” (IEEE - 2015).

Sneha J. Bansod, Shubhadha Thakre, “Near Infrared Spectroscopy based Soil Nitrogen measurement”, International Journal of Current Engineering and Technology E-ISSN 2277 – 4106, P-ISSN 2347 – 5161.

D. Rajesh and H. P. Girishkumar, “Agriculture Seed Sowing Equipment: A Review”, International Journal of Science, Engineering and Technology Research, 2014, vol. 3, Issue 7, pp-1987-1992.

Saurabh Umarkar and Anil Karwankar “Automated Seed Sowing Agribot Using Arduino”, IEEE Trans. pp.1379-1383, 2016.

Cretan Dwarkani M, Ganesh Ram R, Jaganathan S, R. Priyadharshini “Smart Farming System Using Sensors for Agriculture Task Automation”, IEEE Trans. pp.49-53, 2015

Jayakrishna PV, Reddy MS, Sai NJ, Susheel N, Peeyush KP. Autonomous seed sowing agricultural robot. In2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2018 Sep 19 (pp. 2332-2336). IEEE.

Bhardwaj H, Tomar P, Sakalle A, Sharma U. Artificial Intelligence and Its Applications in Agriculture with the Future of Smart Agriculture Techniques. InArtificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture 2021 (pp. 25-39). IGI Global.

Gondchawar N, Kawitkar RS. IoT based smart agriculture. International Journal of advanced research in Computer and Communication Engineering. 2016 Jun;5(6):838-42.

Patil KA, Kale NR. A model for smart agriculture using IoT. In2016 international conference on global trends in signal processing, information computing and communication (ICGTSPICC) 2016 Dec 22 (pp. 543-545). IEEE.

Prathibha SR, Hongal A, Jyothi MP. IoT based monitoring system in smart agriculture. In2017 international conference on recent advances in electronics and communication technology (ICRAECT) 2017 Mar 16 (pp. 81-84). IEEE.

Bu F, Wang X. A smart agriculture IoT system based on deep reinforcement learning. Future Generation Computer Systems. 2019 Oct 1; 99:500-7.

Sushanth G, Sujatha S. IOT based smart agriculture system. In2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) 2018 Mar 22 (pp. 1-4). IEEE.


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