Farming with Super Vision: Hyperspectral Technology in Agriculture-1

 
 
Project: Farming with Super Vision: Hyperspectral Technology in Agriculture-1
Work Package 4: Monitoring Stress-Induced Phenotype Changes in Model Plants with Hyperspectral Imaging Systemand Creating a Database for Machine Learning Studies
 
This project aims to develop portable hyperspectral camera systems with high spectral resolution (0.6-9 nm) in the ranges of 350-1050 and 400-1700 nm, compatible with drones and automation systems. The developed system will be applicable in agricultural fields, greenhouses, and for monitoring individual agricultural products. Monitoring with a hyperspectral imaging system and creating a database for machine learning studies will be provided with the model plant Arabidopsis thaliana. This system will work with drones and robots in the future to help farmers monitor their crops better. You'll use a plant called Arabidopsis thaliana for your experiments. It's like a "lab rat" for plant scientists because it grows quickly and is easy to study.
What You'll Do:
Grow 360 different types of Arabidopsis plants.
Give them different amounts of important nutrients (nitrogen, phosphorus, and potassium).
Use your special camera to take pictures of the plants as they grow.
Measure things like leaf colour, plant size, and how much water the plants contain.
Experiment Steps:
Test 10 plant types with different nutrient levels to see what works best.
Grow all 360 plant types with normal and slightly low nutrients.
Repeat the experiment with 60 plant types to confirm your results.
See how plants react when you change their nutrient levels during growth.
Data Analysis:
You'll compare with your colleagues what you see with your eyes and measure in the lab to what your special camera shows.
 
References
https://www.lignonanoplatform.net/arastirma-programlari/arastirma-programi-4