Early Detection of Drought Stress in Bell Pepper (C. annuum) Using a Remotely Operated Vehicle with an Infrared Camera
Overview
Objectives Late detection of drought stress in plants could lead to irreversible damage and low yield. Older methods of monitoring plant water status are destructive and only detects plant drought stress late in the process. Inexpensive thermal imaging infrared (IR) thermography cameras have been developed that can be used for remote and non-destructive determination of the water status in plants. This is done by measuring the canopy temperature of plants and calculating the crop water stress index (CWSI). This study was conducted to determine if an ROV equipped with an infrared camera can effectively detect the early signs of stress caused by drought in bell pepper plants. Methods A field experiment on bell pepper with different irrigation levels was used in this study. An autonomous GPS enabled ROV with a 6-wheel drive chassis was built and mounted with an infrared camera. This allowed it to maneuver in the tight inter-rows of the crops, and at precise locations due to GPS, take images of bell pepper leaves using the infrared (IR) camera at a close distance to measure the temperature accurately. Soil moisture level for each plant was measured on the same day. The images were analyzed to determine the average canopy temperature and calculate the crop water stress index. Results The regression analysis showed that there is a very strong negative linear relationship between CWSI and soil moisture level. The coefficient of determination for the regression was 0.96 and future measurements can be closely predicted by the regression equation y = -0.0052x + 0.465. Also, the significant (p value = 0.02 < ?=0.05) result of ANOV A showed that the variations in soil moisture level do affect the CWSI and that the linear relationship does exist between CWSI and soil moisture level. Conclusions This study showed that canopy temperatures obtained from infrared thermal images can accurately predict the moisture level and early signs of drought stress in pepper plants. This can have a big impact in the way irrigation is being managed in the field. By knowing the CWSI, farmers will have an idea when it is necessary to irrigate. Unnecessary irrigation can be avoided which will help farmers conserve precious water. This is not only good for the environment, but it also allows farmers to save money and to maximize their yield.
Summary statement
A remotely operated vehicle with an infrared thermography camera can accurately measure plant canopy temperatures to calculate the CWSI and detect early drought stress in bell pepper plants.
Help received
The California State University - Fresno Agricultural Field was accessed in this study. I conceptualized, planned, conducted, and analyzed the project myself. I did not receive any mentorship from any faculty or staff from the university.
Competition history
- CSEF 2019
Resources
Related projects
ISEF · 2021
Development of a Novel AI Drought-Stress Assessment (AIDA) Model in Bell Pepper (Capsicum annuum) Plants Using a Custom-Built Robotic RGB + Infrared (IR) Camera
ISEF · 2025
Early Detection of Crop Stress by Drone Hyperspectral Imaging of Community Farmland in Southeast Florida
ISEF · 2022
Early Detection of Drought Stress Through a Novel AI Drought Assessment (AIDA) Model in Field Grown Tomato (Solanum lycopersicum) Plants Using a Custom-Built "Spectra-Rover"
ISEF · 2026
Using the Normalized Difference Vegetation Index to Identify Stresses Caused by Hydroponic Growth Mediums
CSEF · 2026
Edge-AI Multispectral Imaging System for Detecting Plant Diseases and Stresses
CSEF · 2019
Measuring Chlorophyll Fluorescence and Spectral Reflectance for the Remote Sensing of Agriculture
ISEF · 2022
A Low-Cost Deep Learning Solution for Early Detection of Lettuce Stress in Indoor Farms
ISEF · 2020
An Autonomous Drone for Water Conservation and Irrigation Location Optimization
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: California Science & Engineering Fair public projects