Plant leaves disease detection using Image Processing and Machine learning techniques

被引：0

作者：

Kokardekar, P. ^{[1
]}

Shah, Aman ^{[1
]}

Thakur, Arjun ^{[1
]}

Shahu, Prachi ^{[1
]}

Raggad, Rohan ^{[1
]}

Keshaowar, Sudhanshu ^{[1
]}

Pashine, Vineet ^{[1
]}

机构：

[1] Shri Ramdeobaba Coll Engn & Management, Katol Rd, Nagpur 440013, Maharashtra, India

来源：

INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING | 2022年 / 13卷 / 05期

关键词：

Disease detection; Convolutional neural network;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Agriculture plays a very important role in strengthening the economy of a country. Disease in plants is the major cause of production and economy loss which also reduced the quality and quantity of agriculture products. Farmers face a lot of difficulty in detecting the diseases with naked eye which is the traditional and most used way. It is an important and tedious task to detect disease on crops. It requires a lot of skilled labour and huge amount of time. This paper compares the benefits and limitations of existing techniques for disease detections. Finally, it will talk about a method for disease detection in plants using convolutional neural network (CNN).

引用

页码：1304 / 1311

页数：8

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