Identification of Nutrient Content of Psidium Guajava and Syzygium Cumini Leaves Using Hyperspectral Imaging
Author:
Affiliation:
1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,India,600062
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10150429/10151454/10151662.pdf?arnumber=10151662
Reference15 articles.
1. Using Machine Learning for Nutrient Content Detection of Aquaponics-Grown Plants Based on Spectral Data
2. On Using Artificial Intelligence and the Internet of Things for Crop Disease Detection: A Contemporary Survey
3. Guava leaf disease classification using support vector machine;perumal;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021
4. Hyperspectral Imaging to detect Age, Defects and Individual Nutrient Deficiency in Grapevine Leaves;paul;arXiv preprint arXiv 2007 08501,2020
5. Non-Destructive Detection of Tea Leaf Chlorophyll Content Using Hyperspectral Reflectance and Machine Learning Algorithms
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