Abstract
In spite of technological advancements, the farm productivity of Indian agriculture is still on the lower side. The underlying reason for poor farm productivity in India is due to the inefficient usage of agricultural inputs, resulting in low or poor-quality agricultural yields. Water happens to be one of such imperative agricultural input that has a huge impact on agricultural productivity. Precision agriculture systems can take care of irrigation requirements by optimally and efficiently using irrigation water for producing crops having superior quality and quantity. This work proposes a smart irrigation system that can efficiently manage the water requirements of the crop for its optimal growth. The irrigation schedules are developed using a feed forward neural network model that can predict the variation in the soil moisture considering the environmental factors such as temperature, humidity, atmospheric pressure, and the rain. The results indicate the effectiveness of the developed system in predicting the soil moisture with mean square error as low as 0.13 and the R value as high as 0.98.
Highlights
Water happens to be the most vital element for sustaining life on the Earth both for humans and animals
The results indicate the effectiveness of the developed system in predicting the soil moisture with mean square error as low as 0.13 and the R value as high as 0.98
The work carried out in this paper aims at providing end-to-end irrigation scheduling system by integrating IoT with an Artificial Neural Network (ANN) model, and the developed system has the important characteristics of quick deployment capability, and its low-cost and userfriendly nature mainly focussing on to the farmers who are having small agricultural lands and are not in a position to procure high-end irrigation systems for solving their irrigation issues
Summary
Water happens to be the most vital element for sustaining life on the Earth both for humans and animals. Studies show that humans can live without food for three weeks but when it comes to water, humans cannot sustain more than three days at a stretch. The depleting levels of the water table, irregular monsoons, climate change (Aryal, J.P., et al 2019), water contaminations are posing as serious hurdles for developing a sustainable agriculture system (Tripathy S, 2019). 2019), the utilization of water for irrigation is not strategic. The problem that needs immediate attention is, how water, being a limited and vital resource can be smartly used for irrigation purpose to produce good quality yields capable of fetching good returns to the farmers.
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