TO STUDY AND ANALYSE THE IMPACT OF SMART ARTIFICIAL IRRIGATION SYSTEM ON AGRICULTURE INDUSTRY USING THE CONCEPTS OF ARTIFICIAL INTELLIGENCE AS A CSR FOR FARMERS

Abstract

Agriculture performs a key role in the economy and its contribution is based on the potential crop yields that are highly dependent on irrigation. The history of England gives us a clear evidence that the revolution in Agriculture preceded the Industrial Revolution in United Kingdom. Also, In U.S.A. and Japan, agricultural development has contributed to a great extent in the process of their industrialisation. Similarly, many under-developed countries who got involved in the process of economic development by now have learnt the inadequacies of putting too much stress on industrialisation to attain greater per capita real income. Thus, we can say that industrial and agricultural advancements are not substitutes, they are complementary and are mutually supporting with respect to both inputs and outputs. It is seen that enhanced agricultural output and efficiency tend to contribute significantly to an overall economic development of the country, it will be logical and suitable to place greater emphasis on additional development of the agricultural sector. In a nation like India, where agriculture remains heavily reliant on the informal sector, irrigation methods and procedures are ineffective and often result in unnecessary water spills. This calls for the need for a system that can provide an effective and reliable solution. Agriculture is dependent on the monsoons, therefore this new smart irrigation system has been introduced for agriculture by Texanium. It is a web development company. In this system, based on the soil form, the water will be supplied to the agricultural field. The present paper demonstrate and conclude that an automatic Irrigation System supported by Artificial Intelligence and the Internet of Things, can independently irrigate fields using soil moisture data. The program is based on prediction algorithms that use historical weather data to identify and predict rainfall patterns and climate change thus, a smart system that irrigates crop fields s