Facebook PixelDesign and Evaluation of an AI-Based Testing and Grading System for Agricultural Products Using Imported (Open-Source) Models and a Local Adaptation Strategy (Case Study: Horticultural Crops)
Brainstorming
Tour
Brainstorming
Brainstorming
Create newCreate new
EverythingEverything
ChallengesChallenges
IdeasIdeas
Guide
TourRulesAbout
Challenge

Design and Evaluation of an AI-Based Testing and Grading System for Agricultural Products Using Imported (Open-Source) Models and a Local Adaptation Strategy (Case Study: Horticultural Crops)

Loading...
Nematollah Saeidi (Emad)
Nematollah Saeidi (Emad) Nov 02, 2026
Please leave the feedback on this challenge
Necessity

Is the problem still unsolved?

Conciseness

Is it concisely described?

Bounty for the best solution

Provide a bounty for the best solution

Bounties attract serious brainpower to the challenge.

Currency *
Bitcoin
Who gets the Bounty *
Distribution
Quality assessment of agricultural products in Iran is predominantly performed manually and visually by experts, which is costly, time-consuming, and prone to human error. Meanwhile, numerous open-source AI models (e.g., the YOLO family, MobileNet, ViT) are readily available as "imported code" trained on foreign datasets. Scientific evidence shows that using these models directly, without adaptation, leads to poor performance in agricultural environments with different climate, lighting, and local varieties. For instance, Meta's Detectron2 model missed more than half of the trees in a region in India because it was trained on North American forests. Therefore, the central question is: Can a reliable quality-testing system for Iranian agricultural products be built by using imported code as a foundation and applying a local adaptation layer (fine-tuning + calibration)?
artificial intelligence
Creative contributions
Know someone who can contribute to this challenge? Share it with them on , , or

Add your creative contribution

0 / 200

Added via the text editor

Sign up or

or

Guest sign up

* Indicates a required field

By using this platform you agree to our terms of service and privacy policy.

General comments