Citation :

Ameer Baig, Shum Sundar Bachu, Vejandla Meghana, M. Ravi Kumar, 2023. "Smart Irrigation System Using IoT" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 1: 13-19.

Abstract :

Agriculture has always been the most significant human activity because it involves the permanent modification of the natural environment through the reproduction of living things. You could buy some land and take care of B instead of owning and devouring the crops around you. Both flood types and overhead sprinklers are ineffective. Due to excessive soil wetness, they cause significant water waste and can also encourage illnesses like fungal development. A farm's indirect profitability as well as water conservation depends heavily on an automated irrigation system. The only use of the world's water resources is for irrigation, which accounts for about 85% of the total. This need is projected to rise in the coming years as the population expands. Adopting new technologies that reduce water is required for irrigation at a rate of necessary to meet this requirement. Sensors in automated systems keep track of the water that is available to plants, and controlled irrigation is used to water the plants as necessary. Cloud computing is a desirable choice for handling the huge volumes of data being recommended because of its nearly infinite possibilities for storage and processing, as well as its quick elasticity. Temperature and soil moisture are excellent ground truth measurements to use as a starting point. To fulfil this goal, innovative technologies that lower the amount of water required for irrigation must be adopted. Controlled irrigation is used to water the plants as needed. Sensors in automated systems monitor the water that is available to plants. Because of its practically limitless possibilities for processing and storage, as well as its fast elasticity, cloud computing is a suitable option for managing the enormous volumes of data being advised. Excellent ground truth metrics to utilise as a starting point include temperature and soil moisture.

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Keywords :

IoT, Agriculture, Cloud Computing.