Tri-Plant Leaf Disease for Bell Paper, Tomato and Potato Classification Using CNN

Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh
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Abstract

India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.
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利用CNN对钟纸、番茄和马铃薯三种植物叶片病害进行分类
印度自古以来就是一个农业国家。农业是这个国家的主要职业,全国各地都种植着各种各样的作物。因此,诸如疾病、害虫和其他环境因素等因素可以极大地影响大多数人的生计。通过对植物叶片的了解,这些病害很容易被发现,如果及时避免,可以避免重大损失。提出了一种利用CNN模型对叶片病害进行分类的方法。这样,就可以根据数据库提供的信息对叶片病害进行分类。利用植物叶片图像可以对每一种植物病害进行分类。
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