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Article

Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi

1
USDA-ARS Genetics and Sustainable Agriculture Research Unit, Mississippi State, MS 39762, USA
2
Pontotoc Ridge-Flatwoods Branch Experiment Station, Mississippi State University, Pontotoc, MS 38863, USA
*
Author to whom correspondence should be addressed.
Challenges 2023, 14(1), 12; https://doi.org/10.3390/challe14010012
Submission received: 28 November 2022 / Revised: 4 February 2023 / Accepted: 13 February 2023 / Published: 14 February 2023
(This article belongs to the Section Technologies)

Abstract

Remote sensing monitoring of crop growth began from airborne photography to assist in crop pest management and has evolved into monitoring from satellites, manned aircraft, unmanned aerial vehicles (UAVs), and ground-based systems for crop production process modeling, optimization, and control. In recent years, for crop growth remote sensing monitoring, apart from satellites, manned aircrafts, and ground-based systems, UAVs have been developed and widely used for low-altitude remote sensing of crop fields to uniquely provide a cost-effective, flexible tool for field crop growth remote sensing. Additionally, their data create a critical layer between all other remote sensing platforms. This paper overviews the use of remote sensing from difference sources, especially airborne remote sensing from manned aircraft and UAVs, to monitor crop growth in the area of the lower northern Mississippi from the Mississippi Delta to the Black Prairie, one of the most important agricultural areas in the U.S. In this paper, three sites typical in the area are demonstrated for remote sensing monitoring of crop growth, and the issues and challenges are identified and discussed for future opportunities to integrate remote sensing data from different sources to improve crop monitoring in this area and surrounding areas.
Keywords: remote sensing; crop growth monitoring; crop production management; unmanned aerial vehicle remote sensing; crop growth monitoring; crop production management; unmanned aerial vehicle

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MDPI and ACS Style

Huang, Y.; Feng, G.; Tewolde, H.; Shankle, M.W. Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi. Challenges 2023, 14, 12. https://doi.org/10.3390/challe14010012

AMA Style

Huang Y, Feng G, Tewolde H, Shankle MW. Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi. Challenges. 2023; 14(1):12. https://doi.org/10.3390/challe14010012

Chicago/Turabian Style

Huang, Yanbo, Gary Feng, Haile Tewolde, and Mark W. Shankle. 2023. "Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi" Challenges 14, no. 1: 12. https://doi.org/10.3390/challe14010012

APA Style

Huang, Y., Feng, G., Tewolde, H., & Shankle, M. W. (2023). Remote Sensing from Different Sources for Crop Growth Monitoring in the Area of the Lower Northern Mississippi. Challenges, 14(1), 12. https://doi.org/10.3390/challe14010012

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