Abstract
Internet of Things in Precision Agriculture practices has made a long-lasting impact. Advanced agro-machineries helping farmers to increase their farm output and productivity. With addition of IoT enabled devices it is possible to integrate agro-machines and farmers to a network of connected things that shares valuable data with the help of which farmers can make sensible decisions on time. IoT devices boost up the smart farming through its efficient and dependent monitoring and controlling system. In this paper an IoT enable fertilizer applicator machine is proposed for the farmers of the countryside. The demand for the fertilizer is on high everywhere and so its associate problems like ineffective fertilizer placement methods, insufficient penetration of the fertilizer under the soil, unavailability of fertilizer for the crop roots during mid and late season growth stages of plant and many more. One of the possible solutions for these problems is to design and develop the machine which is able to place the fertilizers into different depths of soil so as to make it available to the crop during all growth stages of the crop. Further to monitor the amount and right placement of the fertilizer, an IoT enabled AgroCloud module architecture is proposed that will connect the person through mobile computing. This module will store the data and will communicate to the farmer for the information such as soil properties (pH value, EC), fertilizers presence (N, P, K), environmental condition (moisture, temperature) through smartphones and sensors. The complete model will benefit in increasing the yield through multi depth fertilizing concept along with incorporation of IoT assembly for better practices.
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Bhende, N.V., Purohit, J.K., Junankar, A.A. (2020). An IoT Based Agri-Cloud Architectural Framework for Monitoring Presence of Fertilizer Under Multilayered Soil Farming. In: Nain, N., Vipparthi, S. (eds) 4th International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2019. ICIoTCT 2019. Advances in Intelligent Systems and Computing, vol 1122. Springer, Cham. https://doi.org/10.1007/978-3-030-39875-0_15
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DOI: https://doi.org/10.1007/978-3-030-39875-0_15
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