Potato Leaf Disease Detection By Deep Learning: A Comparative Study
Author:
Affiliation:
1. Pabna University of Science and Technology,Electrical and Electronic Engineering,Pabna,Bangladesh
2. IO Architect Intel Corporation,Portland,Oregon,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10534252/10534311/10534467.pdf?arnumber=10534467
Reference22 articles.
1. STUDY ON THE DYNAMICS OF POTATO PRODUCTION AND WORLDWIDE TRADING DURING THE STUDY ON THE DYNAMICS OF POTATO PRODUCTION AND WORLDWIDE TRADING DURING THE PERIOD 2012–2019;Soare;Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development,2021
2. 2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
3. Plant Disease Identification Using Transfer Learning
4. Plant Disease Detection and Classification by Deep Learning—A Review
5. IMPLEMENTATION OF TRANSFER LEARNING MOBILENETV2 ARCHITECTURE FOR IDENTIFICATION OF POTATO LEAF DISEASE;Kristiyanti;J Theor Appl Inf Technol,2023
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