Rice disease identification through leaf image and iot based smart rice fieldmonitoring system
Rice disease identification in early-stage, proper medication in case of disease affection and managing irrigation at the appropriate time is the most consequential phenomena to increase the production level of the rice. In this paper, a novel technique to diagnose the rice diseases and smart medica...
Main Authors: | Islam, Md Nahidul, Ahmed, Fahim, Ahammed, Md Tanvir, Rashid, Mamunur, Bari, Bifta Sama |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Springer Science and Business Media Deutschland GmbH
2022
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/39454/1/Rice%20Disease%20Identification%20Through%20Leaf%20Image%20and%20IoT%20Based%20Smart.pdf http://umpir.ump.edu.my/id/eprint/39454/2/Rice%20disease%20identi%EF%AC%81cation%20through%20leaf%20image%20and%20iot%20based%20smart%20rice%20fieldmonitoring%20system_ABS.pdf |
Similar Items
-
Rice disease identification through leaf image and IoT based smart rice field monitoring system
by: Islam, Md Nahidul, et al.
Published: (2022) -
Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification
by: Islam, Md Shofiqul, et al.
Published: (2022) -
The Classification of Electrooculogram (EOG) through the application of Linear Discriminant Analysis (LDA) of selected time-domain signals
by: Farhan Anis, Azhar, et al.
Published: (2022) -
The classification of Electrooculogram (EOG) through the application of Linear Discriminant Analysis (LDA) of selected time-domain signals
by: Farhan Anis, Azhar, et al.
Published: (2022) -
An intelligent system for hearing disorder detection using auditory evoked potential (AEP) signals
by: Islam, Md Nahidul, et al.
Published: (2021)