Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment-Reference-Cited by-同舟云学术

Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment

Published:2017-06-22 Issue:2 Volume:11 Page:026035
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Stanton Carly¹,Starek Michael J.¹,Elliott Norman²,Brewer Michael³,Maeda Murilo M.³,Chu Tianxing¹

Affiliation:

1. Texas A&M University-Corpus Christi, Conrad Blucher Institute for Surveying and Science, School of Engineering and Computing Sciences, Corpus Christi, Texas, United States

2. USDA/ARS, Stillwater, Oklahoma, United States

3. Texas A&M AgriLife Research and Extension Center, Corpus Christi, Texas, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference39 articles.

1. The application of small unmanned aerial systems for precision agriculture: a review

2. Remote sensing of biotic stress in crop plants and its application to pest management;Prabhakar,2012

3. Unmanned aerial systems for photogrammetry and remote sensing: A review

4. Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration

5. A Programmable Aerial Multispectral Camera System for In-Season Crop Biomass and Nitrogen Content Estimation

Cited by 80 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved estimation of cotton (Gossypium hirsutum L.) LAI from multispectral data using UAV point cloud data;Industrial Crops and Products;2024-10

2. Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models;Agronomy;2024-09-09

3. UAS‐based multispectral imaging for detecting iron chlorosis in grain sorghum;Agrosystems, Geosciences & Environment;2024-07-09

4. Detecting sorghum aphid infestation in grain sorghum using leaf spectral response;Scientific Reports;2024-06-18

5. Enhanced Crop LAI Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach;2024-06-10