Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture-Reference-Cited by-同舟云学术

Review on unmanned aerial vehicles, remote sensors, imagery processing, and their applications in agriculture

Published:2021-03 Issue:2 Volume:113 Page:971-992
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Olson Daniel¹^ORCID,Anderson James¹^ORCID

Affiliation:

1. USDA‐Agricultural Research Service, Edward T. Schafer Agricultural Research Center Sunflower and Plant Biology Research Unit 1616 Albrecht Blvd. N. Fargo Fargo ND 58102‐2765 USA

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/agj2.20595

Reference154 articles.

1. Characterizing soil salinity in irrigated agriculture using a remote sensing approach

2. Detection Of target spot and bacterial spot diseases in tomato using UAV‐based and benchtop‐based hyperspectral imaging techniques;Abdulridha J.;Precision Agriculture,2019

3. Aboutalebi M. Allen N. Torres‐Rua A. F. McKee M. &Coopmans C.(2019). Estimation Of soil moisture at different soil levels using machine learning techniques and Unmanned Aerial Vehicle (UAV) Multispectral Imagery. InProceedings Volume 11008 Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV.https://doi.org/10.1117/12.2519743

4. Method for Using Images from a Color Digital Camera to Estimate Flower Number

5. Agriculture Victoria. (2021).Estimating crop yields; A brief guide. Victoria State Government Department of Jobs Precincts and Regions. Retrieved fromhttps://agriculture.vic.gov.au/home

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