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Artifical
intelligence
for
agriculture
and
enviroment
คณะวิศวกรรมศาสตร์
AI Translated
Artifical intelligence for agriculture and enviroment

Innovation Owner

ปศ

ศ. ปานมนัส ศิริสมบูรณ์

Advisor

Details

Artificial intelligence for agriculture and environment is a collection of machine learning and deep learning models developed for environmentally friendly development. It utilizes Near infrared Fourier transform spectroscopy for rapid, chemical-free, and cost-effective analysis.

Artificial intelligence for agriculture and environment is a collection of significant models for environmentally friendly Thailand development. The models are created with machine learning and deep learning by the Near Infrared Spectroscopy Research Center for Agricultural and Food Products, including:

  • Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique.
  • Identification of combustion properties of biomass from fast-growing trees and agricultural residues.
  • Evaluation of global warming due to biomass combustion.

The basic technology used is Near infrared Fourier transform spectroscopy, which offers several advantages:

  • Rapid measurement and output display.
  • No chemicals required.
  • No requirement for special experts.
  • Very low measurement price per sample.
  • Note: The instrument cannot currently be produced in Thailand.
Artifical intelligence for agriculture and enviroment
Artifical intelligence for agriculture and enviroment
Artifical intelligence for agriculture and enviroment
Artifical intelligence for agriculture and enviroment

Objective

To demonstrate the performance of machine learning and deep learning models developed for agricultural and environmental sustainability, specifically for nutrient analysis, biomass combustion properties, and global warming evaluation.

To demonstrate the performance of models that are significant for environmentally friendly national development, created through machine learning and deep learning by the Near Infrared Spectroscopy Research Center for Agricultural and Food Products, including:

  1. Determining the nutrient needs (N P K) of durian trees by measuring durian leaves using a non-destructive technique with artificial intelligence.
  2. Identification of combustion properties of biomass from fast-growing trees and agricultural residues using non-destructive techniques combined with artificial intelligence.
  3. Evaluation of global warming due to biomass combustion using non-destructive techniques with artificial intelligence.