Implementation and Testing of Cyber Physical System in Laboratory for Precision Agriculture

Srikar, D.; Sairam, K. C.; Srikanth, Thodeti; Narayanan, Gayathri; Vrinda, K. B.; Kurup, Dhanesh G.

doi:10.1109/icacci.2018.8554601

Cited by 2 publications

(2 citation statements)

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“…In the area of precision agriculture using modern communication technologies there has been a lot of work done to assist the farmers and improve the yield. In [3] implementation of a cyber physical system to monitor and irrigate the farm is done, controlling and monitoring the farm according to the weather conditions can be added. Maintaining proper soil moisture according to the weather conditions increases yield [4].…”

Section: Related Workmentioning

confidence: 99%

“…Implemented a cyber physical system consisting of soil moisture sensor and communication modules. The authors have highlighted the advantages of using RF transceiver modules over the other wireless technologies like ZigBee, WIFI and Lora [3]. The idea of Weather Prediction has been discussed, stressing on how production increases with the maintenance of proper moisture values [4].…”

Section: Introductionmentioning

confidence: 99%

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Automatic Remote Farm Irrigation System with WSN and Weather Forecasting

Kilaru

Madishetty

Yamala

et al. 2022

J. Phys.: Conf. Ser.

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The paper showcases the system used for automating agriculture using wireless sensor network (WSN) and weather prediction. WSN, is more efficient than IoT as it avoids connecting all the sensor nodes directly to Internet, thus reducing the traffic over Internet and energy consumption of the sensor network. The system consists of a clustered tree topology to increase the range of operation, connectivity and easily connect new nodes dynamically. The sensor nodes being the leaves, local gateways being the branches and the global gateway being the root node. The system is implemented using cost effective micro-controllers, robust communication modules and reliable data showcasing platforms. Our implementation uses weather prediction to minimize the water needed for irrigation. Thereby minimizing cost and increasing efficient usage of resources.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%