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ARS Home » Plains Area » College Station, Texas » Southern Plains Agricultural Research Center » Aerial Application Technology Research » Research » Publications at this Location » Publication #374275

Research Project: Improved Aerial Application Technologies for Precise and Effective Delivery of Crop Production Products

Location: Aerial Application Technology Research

Title: Remote sensing technologies for crop disease and pest detection

Author
item Yang, Chenghai

Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 8/15/2020
Publication Date: N/A
Citation: N/A

Interpretive Summary: This chapter presents an overview of major remote sensing platforms and systems commonly used for detection and management of crop plant diseases and insect pests. Specifically, remote sensors mounted on satellites, manned aircraft and unmanned aircraft systems (UAS) are discussed and applications on the use of these imaging sensors for detecting and mapping crop diseases and insect pests are reviewed. Cotton root rot is used as a practical example to illustrate how airborne and satellite imagery can be integrated with variable rate technology for crop disease detection, site-specific fungicide application and performance evaluation. Some of the challenges and future directions are briefly discussed. The overview and methodologies presented in this chapter should provide researchers, extension personnel, growers, crop consultants, and farm equipment and chemical dealers with practical guidelines for remote detection and effective management of some crop diseases and insect pests.

Technical Abstract: This chapter presents an overview of major remote sensing platforms and systems commonly used for detection and management of crop plant diseases and insect pests. Specifically, remote sensors mounted on satellites, manned aircraft and unmanned aircraft systems (UAS) are discussed and applications on the use of these imaging sensors for detecting and mapping crop diseases and insect pests are reviewed. Cotton root rot is used as a practical example to illustrate how airborne and satellite imagery can be integrated with variable rate technology for crop disease detection, site-specific fungicide application and performance evaluation. Some of the challenges and future directions are briefly discussed. The overview and methodologies presented in this chapter should provide researchers, extension personnel, growers, crop consultants, and farm equipment and chemical dealers with practical guidelines for remote detection and effective management of some crop diseases and insect pests.