Abstract
Agriculture is the classical and most reliable way of growing food for many centuries. In it irrigation is the prime element for a successful cultivation. In India, seventy percent of the economy is dependent on agriculture (Ingale and Kasat in Int J Eng Res Dev 4, 2012) [1]. Tillage uses 85% of available fresh water supplies worldwide, and this percentage will maintain to be prevailing in water consumption because of the increase in population and expanded food demand (Gutiérrez et al. in IEEE transactions on instrumentation and measurement, 0018–9456) [2]. Long gone are the days of watering your plants or checking the fertility of the soil or discovering how healthy the crop is, manually all by yourself. There is also a risk of accuracy with manual work. India is a country where seventy percent of the land is under cultivation. In order to irrigate these large chunks of land, we use stupendous amount of water which might lead to loss of this valuable resource. So, in order to provide a solution for this tangled issue, we came up with TILLAGE DRIP. This paper has three segments, where in the first segment it deals with checking of fertility of the soil, provided the best suitable soil type for a particular crop. The second segment deals with automatic irrigation with the help of IOT. Whereas the third segment works with health conditions of the crop using image processing technique.
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Indira, D.N.V.S.L.S., Harshita, M., Pranav, D.S., Sai, J.P.M. (2018). TILLAGE DRIP: An Efficient Seed Selection and Conservative Irrigation with Crop Defective Alert by IOT. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 78. Springer, Singapore. https://doi.org/10.1007/978-981-10-5547-8_6
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DOI: https://doi.org/10.1007/978-981-10-5547-8_6
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