Disease Detection in Tomato plants and Remote Monitoring of agricultural parameters

Abstract

Unarguably, tomato plants provide a lot of health benefits. Just to name a few, maintenance of blood pressure and reduction of blood sugar levels in diabetic people. Consequently, it is important to grow tomato with care. This paper introduces a method wherein Deep Learning and Internet of Things technologies are used to monitor the overall health of the plant more efficiently. This paper mainly utilizes the benefits of Convolutional Neural Networks, a type of Deep Neural Network to detect diseases in the leaves of tomato plants. In addition, sensors like soil moisture, temperature and humidity are utilized to provide more information to the farmer. The farmer is afforded with information about the agricultural field through an application. This paper provides an efficient method so as to reduce the farmers' effort by enabling him/her to remotely monitor the tomato plants in his/her field.