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Detection of Disease in Mango Trees Using Color Features of Leaves

  • Jibrael JosEmail author
  • K. A. Venkatesh
Chapter
  • 32 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)

Abstract

The goal has been to detect disease in mango trees. This paper compares different approaches to extract color features and check the accuracy and applicability for mango trees. The paper proposes variations which helped in increasing the accuracy of features extracted for mango trees: firstly, a customized method of splitting leaf into layers while doing K-means clustering, and secondly, segmenting the region of interest to blocks to help in applying statistical functions more accurately over a region.

Keywords

Disease detection Mango trees Color analysis Feature extraction Segmenting Region of interest Neural network 

Notes

Acknowledgements

Access to mango orchards over the years was granted thanks to the owner Mr. Venkatesha Rao S. R. He has an in-depth scientific understanding of challenges orchard owners face in these drought-stricken areas. In the fieldwork phase, authors were assisted by the farm manager Mr. Rajanna.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Christ UniversityBengaluruIndia
  2. 2.Myanmar Institute of Information TechnologyChanmyathaziMyanmar

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