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Universitas Gadjah Mada Develops Metagenomic Analysis of Honey for Quality Control and Authenticity

Universitas Gadjah Mada Develops Metagenomic Analysis of Honey for Quality Control and Authenticity

Yogyakarta – A researcher from Universitas Gadjah Mada (UGM), Imam Bagus Nugroho, S.Si., M.Sc., from the Agricultural Technology Unit, is developing an innovative study titled “Metagenomic Analysis of Honey to Support Quality Control, Authenticity, and Bioprospecting of Natural Honey.” Initiated in 2023, this research aims to improve quality control standards and authenticity verification of natural honey in Indonesia by leveraging Big Data Analytics and Machine Learning approaches.

The study focuses on the classification of fermented products, particularly honey, based on origin, production methods, and other key attributes.

Universitas Gadjah Mada Develops AI Model to Predict Lettuce Photosynthesis, Improving Indoor Farming Efficiency

Universitas Gadjah Mada Develops AI Model to Predict Lettuce Photosynthesis, Improving Indoor Farming Efficiency

Yogyakarta – Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), successfully completed a research project in 2025 focusing on the development of a predictive model for the photosynthesis rate of lettuce (Lactuca sativa L.) in indoor farming systems.

Big Data Innovation by Universitas Gadjah Mada: More Efficient and Sustainable Precision Fertilization for Oil Palm

Big Data Innovation by Universitas Gadjah Mada: More Efficient and Sustainable Precision Fertilization for Oil Palm

Yogyakarta – Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), has successfully developed a Big Data-based Decision Support System (DSS) for precision fertilization management in oil palm plantations.

Universitas Gadjah Mada Develops Automated Oil Palm Tree Counting System Using Deep Learning

Universitas Gadjah Mada Develops Automated Oil Palm Tree Counting System Using Deep Learning

Development of an Automated Oil Palm Tree Counting System Based on Remote Sensing Using Deep Learning

Yogyakarta – A research team from Universitas Gadjah Mada (UGM), led by Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Department of Agricultural Technology, has successfully developed an automated system for counting oil palm trees.

Universitas Gadjah Mada Develops AI for Detection and Measurement of Bacterial Cellulose, Enhancing Bioproduct Production Efficiency

Universitas Gadjah Mada Develops AI for Detection and Measurement of Bacterial Cellulose, Enhancing Bioproduct Production Efficiency

Implementation of Artificial Intelligence in Object Recognition Methods for Bacterial Cellulose During Fermentation

YOGYAKARTA – Darmawan Ari Nugroho, S.T.P., M.P., a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), is leading an innovative research project implementing artificial intelligence (AI) to monitor the fermentation process of bacterial cellulose (BC).