Detecting the Early Stage of Phaeosphaeria Leaf Spot Infestations in Maize Crop Using In Situ Hyperspectral Data and Guided Regularized Random Forest Algorithm
Phaeosphaeria leaf spot (PLS) is considered one of the major diseases that threaten the stability of maize production in tropical and subtropical African regions. The objective of the present study was to investigate the use of hyperspectral data in detecting the early stage of PLS in tropical maize...
Saved in:
Main Authors: | Elhadi Adam, Houtao Deng, John Odindi, Elfatih M. Abdel-Rahman, Onisimo Mutanga |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Journal of Spectroscopy |
Online Access: | http://dx.doi.org/10.1155/2017/6961387 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Steering conservation biocontrol at the frontlines: A fuzzy logic approach unleashing potentials of climate-smart intercropping as a component within the integrated management of fall armyworm in Africa
by: Komi Mensah Agboka, et al.
Published: (2025-02-01) -
Spectral Discrimination of Archaeological Sites Previously Occupied by Farming Communities Using In Situ Hyperspectral Data
by: Olaotse Lokwalo Thabeng, et al.
Published: (2019-01-01) -
Detection and Monitoring of Damage Status and Infestation by Spodoptera frugiperda in Maize Crops in Luxor Region, Egypt
by: Moustafa Mohamed Sabry Bakry, et al.
Published: (2024-10-01) -
An in situ hyperspectral dataset for typical aquatic vegetation
by: Yaqin Fang, et al.
Published: (2025-01-01) -
Leaf Spots and Leaf Blights of Palm
by: Monica L. Elliott
Published: (2019-05-01)