Intelligent and Soft Computing Systems for Green Energy

23Farmer’s Eye Using CNN

Elam Cheren S., Yuvan Raj Kumar M.*, Vivek G., Udhayakumar N. and Saravanakumar M. V.

Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India

Abstract

This work is based on identifying disease in plants by using Neural network (Convolutional Neural Network) that suggests pesticide or insecticide for that disease and also providing the overview of the disease. In addition we need to gain environmental details around the plant using different types of sensors. This whole process is done by rover, which captures images and feeds them to the processor which does image classification and then sends results to the user via wireless technology.

Keywords: Processor, rover, convolutional neural network, image classification, neural network

23.1 Introduction

The Indian economy majorly depends on agriculture and farm production. India is the major exporter of farm products around the globe, amounting to about 943.53 lakhs tons [2]. The GDP share of agriculture has grown 19.9% in recent years. Due to sudden climatic changes and increased pollution plants are more prone to different diseases which farmers nowadays are not able to detect [1, 8]. The major challenge in agriculture is identifying disease, giving the remedy for it, and stopping the spread of disease in the field [4, 5]. To achieve this we have to combine traditional methodology with new, modern technologies which create a revolution in the field of agriculture and enable ...