Plant Disease Detection using Image Processing with Machine Learning

Author:

Kiran Ajmeera1,Lokesh Naik S.K.2,Raj M Silpa3,Palvadi Srinivas Kumar4

Affiliation:

1. MLR Institute of Technology,Department of Computer Science and Engineering,Hyderabad

2. MLR Institute of Technology, Dundigal,Department of Computer Science and Engineering,Hyderabad

3. CVR College of Engineering,Department of Computer Science and Engineering (Cyber Security)

4. Koneru Lakshmaiah Education Foundation,Department of Computer Science & Information Technology

Publisher

IEEE

Reference19 articles.

1. A Novel Approach to Detect Late Blight Disease in Tomato Leaves Using K-Means Clustering and Morphological Operations;chawda,0

2. Automatic Detection of Tomato Yellow Leaf Curl Virus in Tomato Plants Using Image Processing Techniques and Support Vector Machine;vishnupriya,0

3. A Performance Analysis of an Enhanced Graded Precision Localization Algorithm for Wireless Sensor Networks

4. A Novel Optimized Recurrent Network-Based Automatic System for Speech Emotion Identification

5. A Novel Approach to Detect Early Blight Disease in Tomato Leaves Using K-Means Clustering and Morphological Operations;chawda,0

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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