Srushtideep Angidi*

Department of Plant Pathology, North Dakota State University, Fargo, ND, USA

*Corresponding Author: Srushtideep Angidi, Department of Plant Pathology, North Dakota State University, Fargo, ND, USA.

Received: November 23, 2023; Published: December 01, 2023

Abstract

Detecting and diagnosing plant diseases early is crucial for minimizing crop losses. Sensors have demonstrated their effectiveness in creating automated and reproducible systems for early identification and quantification of plant diseases. From proximal to remote sensing platforms enable multiscale monitoring of individual crop parts or entire fields. Accurate disease detection relies on advanced data analysis methods that generate valuable insights from sensor data in complex plant-pathogen interactions. Nondestructive, sensor-based techniques complement visual and molecular approaches in assessing plant diseases. These innovations in detection technology contribute significantly to improving the efficiency of plant disease management, ultimately enhancing crop production and reducing both qualitative and quantitative losses in yield.

Keywords: Advancements; Plant Disease Detection; Multi-Sensor

References

Citation

Citation: Srushtideep Angidi. “Advancements in Plant Disease Detection Through Multi-Sensor Imaging". Acta Scientific Agriculture 8.1 (2024): 01-02.

Copyright

Copyright: © 2023 Srushtideep Angidi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.