Classification model for chlorophyll content using CNN and aerial images
Chlorophyll content is usually used as a quantitative measurement of plant health. The chlorophyll content is also a continuous number of data type, leading to a regression approach when developing the deep learning model. The regression model will predict the chlorophyll content in number format, w...
Published in: | Computers and Electronics in Agriculture |
---|---|
Main Author: | Wagimin M.N.; Ismail M.H.B.; Fauzi S.S.M.; Seng C.T.; Latif Z.A.; Muharam F.M.; Zaki N.A.M. |
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192500783&doi=10.1016%2fj.compag.2024.109006&partnerID=40&md5=c3752ceef6986184f1aae8975a06c23f |
Similar Items
-
Dysgraphia Handwriting Image Augmentation for CNN Model Classification
by: Harun N.; Isa I.S.; Ramlan S.A.; Osman M.K.; Maruzuki M.I.F.
Published: (2024) -
NFNets-CNN for Classification of COVID-19 from CT Scan Images
by: Abdullah M.S.; Radzol A.R.M.; Marzuki M.I.F.; Lee K.Y.; Ahmad S.A.
Published: (2022) -
DenseHillNet: a lightweight CNN for accurate classification of natural images
by: Saqib S.M.; Asghar M.Z.; Iqbal M.; Al-Rasheed A.; Khan M.A.; Ghadi Y.; Mazhar T.
Published: (2024) -
DenseHillNet: a lightweight CNN for accurate classification of natural images
by: Saqib, et al.
Published: (2024) -
Paddy Leaf Diseases Image Classification using Convolution Neural Network (CNN) Technique
by: Zainorzuli S.M.; Afzal Che Abdullah S.; Abidin H.Z.; Ahmat Ruslan F.
Published: (2021)