Abstract

Agriculture is one of the most important professions that makes surplus services to the mankind. Without agriculture necessities, the benefits from it cannot be obtained. Therefore, food will not be satisfied. A traditional way of agriculture results in low yielding of crops due to many factors. Hence, Smart agriculture helps in increasing the productivity and solving issues caused due to the critical environmental factors. Meanwhile, technology is taking a tremendous growth across the horizons. So, this technology can be utilized for making agriculture easier. In this paper, we proposed two techniques Polynomial Linear Regression algorithm and Decision Information System to make a perfect decision based on the dataset. Our paper shows the data collected from the sensors and comparing the data with the training dataset to filter the data's for satisfied resulted in data. Then the Decision Information System Algorithm is to make the decision based on the filtered data. The decision is to predict the condition of the growth of crops, environmental condition, water level, soil condition, fertilizers need and to detect anyDiseases affected to the crops and to resolve the defects. In this technique, the analyzed result is to send a information to a farmer and to the agricultural department to make a suitable solution for the growth of crops and detect the effect at starting stage and to resolve it earlier. The aim is to help farmers to develop smart systems both, in current and new facilities.

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