A fast analysis approach for crop health monitoring in hydroponic farms using hyperspectral imaging

Maria Merin Antony; C. S. Suchand Sandeep; Bijeesh M.M.; Murukeshan Vadakke Matham

doi:10.1117/12.3008428

12 March 2024 A fast analysis approach for crop health monitoring in hydroponic farms using hyperspectral imaging

Maria Merin Antony, C. S. Suchand Sandeep, Bijeesh M.M., Murukeshan Vadakke Matham

Proceedings Volume 12879, Photonic Technologies in Plant and Agricultural Science; 128790G (2024) https://doi.org/10.1117/12.3008428
Event: SPIE LASE, 2024, San Francisco, California, United States

Conference Poster

Abstract

Hydroponic farming is considered as a more sustainable solution in comparison to conventional farming. Most of the hydroponic farms rely on manual visual inspection for crop monitoring, which can be subjective, time-consuming, and tedious, especially in the case of large area farms. Hyperspectral Imaging (HSI) is a promising technique for automated sensing and monitoring. Though several automated systems based on HSI have been developed recently for crop monitoring, these tend to be computationally complex and demand significant processing power and time, especially when handling extensive data from large farms. In this context, we explore an approach using spectral ratios for crop growth monitoring and the detection of early-stage nutrient stress. The early detection of the nutrient stress can enable effective crop, resource, and time management in large hydroponic farms. A sensitive nutrient deficiency index, named Normalized Nutrient Deficiency Index (NNDI), has been formulated for the early-stage detection of nutrient deficiencies. Evaluating these indices is computationally simple and quick. A methodology for crop growth monitoring and nutrient deficiency stress using these indices is demonstrated on Lactuca sativa L. crops. It is envisaged that the proposed quick, non-destructive imaging technique can enable future automation possibilities and serve as an invaluable tool in indoor hydroponic farms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Maria Merin Antony, C. S. Suchand Sandeep, Bijeesh M.M., and Murukeshan Vadakke Matham "A fast analysis approach for crop health monitoring in hydroponic farms using hyperspectral imaging", Proc. SPIE 12879, Photonic Technologies in Plant and Agricultural Science, 128790G (12 March 2024); https://doi.org/10.1117/12.3008428

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available