Agriculture Portal for Decsion making, Plantation and Marketing of Crops
Keywords:
Agriculture, pre-production, decision making, demand and supply of crops, crop maintenance, market rateAbstract
India is said to be a land of agriculture. Engineering techniques in agriculture brings a lot of advantages to the farmer. The proposed system aims to provide support to farmers during all three stages of farming preprocessing, plantation and post production. Preproduction support includes providing the various crop demand information to farmers through android application. The plantation support includes the automation in monitoring of crops and post production support includes providing the information regarding the market rates for every crop. Preproduction support has an algorithm that calculates the crop demand in real time considering the crop demand input from the surveys and the crops grown by various farmers. This information will be made available to farmers to help them choose the crop that is in demand and hence get a good profit at the end. The plantation support includes automatic irrigation based on dryness of land. The other plantation support includes the intruder detection, providing temperature sensing, humidity sensing and intruder detection. The post production support includes providing information regarding the market rate for various crops on their android phones
References
[1] C. Brewster, I. Roussaki, N. Kalatzis, K. Doolin and K. Ellis, "IoTin Agriculture: Designing a Europe-Wide Large-Scale Pilot,"IEEE Communications Magazine, vol. 55, no. 9, pp. 26-33,2017.
[2] P. P. Ray, M. Mukherjee and L. Shu, "Internet of Things for Disaster Management: State-of-the-Art and Prospects," IEEE Access, vol. 5, pp. 18818-18835, 2017.
[3] J. Haxhibeqiri, A. Karaagac, F. Van den Abeele, W. Joseph, I. Moerman and J. Hoebeke, "LoRa indoor coverage and performance in an industrial environment: Case study," Proceedings of the IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1-8, 2017.
[4] S. Persia, C. Carciofi and M. Faccioli, "NB-IoT and LoRA connectivity analysis for M2M/IoT smart grids applications," Proceedings of the AEIT International Annual Conference, pp.1-6, 2017.
[5] O. Georgiou and U. Raza, "Low Power Wide Area Network Analysis: Can LoRa Scale?," IEEE Wireless Communications Letters, vol. 6, no. 2, pp. 162-165, 2017.
[6] A. Makhoul and H. Harb, "Data Reduction in Sensor Networks:Performance Evaluation in a Real Environment," IEEEEmbedded Systems Letters, vol. 9, no. 4, pp. 101-104, 2017.
[7] Z. F. Liu, L. Wang, G. S. Xi, Z. Luo and Y. Li, "Temperature and Humidity Sensor Location Optimization Based on BP Neural Network," Proceedings of the International Conference on Instrumentation and Measurement, Computer,Communication and Control, pp. 283-287, 2015.
[8] A. A. Raorane, R. V. Kulkarni, "Data Mining: An effective tool for yield estimation in the agricultural sector", IJETTCS, vol. 1, no. 2, pp. 75-79, 2012
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