Intelligent Agriculture System with Crop Selection Using Internet of Things

Abstract

This paper is about the prototype implementation of Raspberry pi based intelligent agriculture system using IOT. This system tries to implement irrigation from places where the physical examination of data is difficult or not needed. The main objective of this paper is detection of diseases at the early stage. We mainly focus on machine learning algorithm like KNN. This includes a series of steps from capturing the real time image of leaf to spotting the diseases. Irrigation in the India is primarily based on the rainwater, which is also the primary source of water. The soil type is instrumental in deciding in what way crops are to be provided with water by checking water level of soil. From the data established or gets from sensors and current condition of the soil , best suited crop is selected. Parameters such as temperature, humidity, and moisture and water pump status are shown on mobile app. Values of these parameters are changed according to best condition essential for the particular crop.