IN-2026-D0101-MJ

Agriculture in India

Location

India

Internship type

ON-SITE

Reference number

IN-2026-D0101-MJ

Students Requirements

General discipline

Agriculture

Completed Years of Study

1

Fields of Study

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

Proficiency in Python

Work Details

Duration

10 - 10 Weeks

Within These Dates

06.05.2026 - 27.09.2026

Holidays

NONE

Work Environment

-

Gross pay

16000 INR / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

IAESTE

Cost of lodging

8500 INR / month

Cost of living

16000 INR / month

Work Offered

Additional Info

Work description

Food Technology InternProject Title: Spectral and Color-Based Image Processing Techniques for Carotenoid ProfilingProject Overview:This project focuses on developing spectral and color-based image processing methods to detect, quantify, and profile carotenoids in fruits, vegetables, and other plant-based samples. Carotenoids are natural pigments responsible for yellow, orange, and red colors, and they play important roles as antioxidants and precursors to vitamin A. Accurate profiling of these pigments is essential for assessing food quality, monitoring agricultural produce, and evaluating nutritional content. The project will use non-destructive optical imaging techniques to capture color and spectral features, which will then be analyzed to determine carotenoid concentrations. By correlating image-based data with pigment content, the study aims to provide a fast, efficient, and cost-effective alternative to traditional chemical analysis methods.Expected Outcome:• Development of an image-based system for carotenoid detection and quantification.• Validation of spectral and color analysis techniques against known standards.• Report detailing methodology, results, and accuracy of profiling.• Presentation highlighting findings and potential applications in food quality and agriculture.

Deadline

27.03.2026

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