Quantification of Groundnut Leaf Defects Using Image Processing Algorithms-Reference-Cited by-同舟云学术

Quantification of Groundnut Leaf Defects Using Image Processing Algorithms

Published:2020-12-17 Issue: Volume: Page:649-658
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Mahmud Ashraf^ORCID,Esakki Balasubramaniam^ORCID,Seshathiri Sankarasrinivasan^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4673-4_53

Reference17 articles.

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3. Rastogi, A., Arora, R., & Sharma, S.: Leaf disease detection and grading using computer vision technology & fuzzy logic. In 2015 2nd international conference on signal processing and integrated networks (SPIN) (pp. 500–505). IEEE (2015)

4. Singh, V., Misra, A.K.: Detection of plant leaf diseases using image segmentation and soft computing techniques. Inf. Process. Agric. 4(1), 41–49 (2017)

5. Jeyalakshmi, S., & Radha, R.: A review on diagnosis of nutrient deficiency symptoms in plant leaf image using digital image processing. ICTACT J. Image Video Process. 7(4) (2017)

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