[HTML][HTML] Leaf area index estimation of pergola-trained vineyards in arid regions based on UAV RGB and multispectral data using machine learning methods

O Ilniyaz, A Kurban, Q Du - Remote Sensing, 2022 - mdpi.com
The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …

Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods.

O Ilniyaz, A Kurban, Q Du - Remote Sensing, 2022 - search.ebscohost.com
The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …

Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods

O Ilniyaz, A Kurban, Q Du - Remote Sensing, 2022 - agris.fao.org
The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …

Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods

O Ilniyaz, A Kurban, Q Du - Remote Sensing, 2022 - search.proquest.com
The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …

Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods

O Ilniyaz, A Kurban, Q Du - Remote Sensing, 2022 - ui.adsabs.harvard.edu
The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …

[引用][C] Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods

O Ilniyaz, A Kurban, Q Du - 2022