Plant Disease Diagnosis Based on Hyperspectral Sensing: Comparative Analysis of Parametric Spectral Vegetation Indices and Nonparametric Gaussian Process Classification Approaches
Early and accurate disease diagnosis is pivotal for effective phytosanitary management strategies in agriculture. Hyperspectral sensing has emerged as a promising tool for early disease detection, yet challenges remain in effectively harnessing its potential. This study compares parametric spectral...
Main Authors: | Mafalda Reis Pereira, Jochem Verrelst, Renan Tosin, Juan Pablo Rivera Caicedo, Fernando Tavares, Filipe Neves dos Santos, Mário Cunha |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/14/3/493 |
Similar Items
-
Enhancing Kiwi Bacterial Canker Leaf Assessment: Integrating Hyperspectral-Based Vegetation Indexes in Predictive Modeling
by: Mafalda Reis-Pereira, et al.
Published: (2023-10-01) -
Hyperspectral Classification of Two-Branch Joint Networks Based on Gaussian Pyramid Multiscale and Wavelet Transform
by: Yigang Tang, et al.
Published: (2022-01-01) -
Current Situation, Problems and Solution Proposals of Kiwi Producer Associations in Turkey
by: Erdal SIRAY, et al.
Published: (2016-03-01) -
Gaussian mixture model and Markov random fields for hyperspectral image classification
by: Hamid Ghanbari, et al.
Published: (2018-01-01) -
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data
by: Katja Berger, et al.
Published: (2021-01-01)