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A versatile approach based on convolutional neural networks for early identification of diseases in tomato plants.
N. V. Megha Chandra
K. Ashish Reddy
G. Sushanth
S. Sujatha
Published in:
Int. J. Wavelets Multiresolution Inf. Process. (2022)
Keyphrases
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convolutional neural networks
plant species
convolutional network
automatic identification
identification rate
real time
real world
case study
image sequences
bayesian networks
multiscale
mass spectrometry
person identification
natural environment
clinically relevant
colorectal cancer