期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：4686
DOI：10.15680/IJIRCCE.2017.0503197
出版社：S&S Publications
摘要：The plant disease identification is one of the most basic and important activities in agriculture. A plantdisease on the other hand is defined as impairment of the normal physiological functioning of a plant or plant part,caused by disease causing agents such as fungi, bacteria, viruses, phyto plasmas viroids, etc. These are the diseaseaffecting this paddy crops and the impact of plant diseases are reducing the yield and farmers investment. Due to this,they minimize the enhancement of agriculture towards the growth. Insecticides are not always proved efficient andgood for the soil. Early detection of insects and diseases can reduce the amount of insecticides. Many types ofsymptoms associated with discolored crops have been observed on paddy. It is difficult for farmers to identify thesymptoms of the diseases and to take right remedy. So, they need a technology development tool identify the diseasesat the starting stage one of those tool is MATLAB.Using hardware component of the Arducam ESP8266 UNO Board and OV2640 Arducam mini module is usedto control and capture the image of affected area and the captured image can be transferred to PC via Wi-Fi connectionand it can provide some feature extraction. Identification of the plant diseases is the key to protect the crops. It saves alot of man power, increases quality with quantity. This paper introduces a calculation for picture division strategywhich is utilized for programmed location and order of plant leaf maladies. It moreover covers study on varioussicknesses arrangement systems that can be utilized for plant leaf ailment recognition. Picture division, which is anessential viewpoint for sickness identification in plant leaf ailment, is finished by utilizing hereditary calculation.
