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 Leverages Big Data and AI for More Accurate Oil Palm Production Prediction
Utilizing Big Data in Oil Palm Plantations for Production Prediction Using Deep Neural Network Models
Yogyakarta – An innovative study led by Andri Prima Nugroho, STP., M.Sc., Ph.D., IPU, ASEAN Eng., APEC Eng., from the Department of Agricultural Technology at Universitas Gadjah Mada (UGM), has successfully utilized Big Data technology and Deep Neural Network (DNN) models to predict oil palm production.
Universitas Gadjah Mada Develops KESAN: AI for Agroindustrial Product Innovation Based on Consumer Preferences
Yogyakarta – A research team from Universitas Gadjah Mada (UGM), led by Mirwan Ushada, S.T.P., M.App.Life Sc., from the Department of Agricultural Technology, is developing the Kansei Engineering-based System for Agroindustry (KESAN).
Universitas Gadjah Mada Innovation: Multimodal AI Detects Depression Through Facial Expressions and Intelligent Interviews
Large Language Models for Screening Depression Through Facial Emotion Recognition and Open-Ended PHQ Testing
YOGYAKARTA – A research team from Universitas Gadjah Mada (UGM), consisting of Samudera Fadlilla Jamaluddin, S.Psi., M.Sc., Riangga Novrianto, S.Psi., M.Psi., Psychologist, and Muhammad Oriza Nurfajri, S.Kom., M.IT., is developing a revolutionary framework for depression screening.
Research Status: Completed
Researcher: Sunu Wibirama, S.T., M.Eng., IPM.
This research develops an intelligent contactless technology based on artificial intelligence and eye-tracking sensors to support public health education and COVID-19 prevention.
Yogyakarta – Ardan Wiratmoko, S.T.P., M.Sc., a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), is developing an advanced system to automatically classify the health of papaya trees (Carica papaya L.).
Yogyakarta – Ardan Wiratmoko, S.T.P., M.Sc, a researcher from the Faculty of Agricultural Technology at Universitas Gadjah Mada (UGM), is leading the development of an innovative system to evaluate the health of papaya plants (Carica Papaya L.).
Yogyakarta, May 6, 2025 — Universitas Gadjah Mada (UGM) once again demonstrates its commitment to advancing digital transformation and human resource development in the field of artificial intelligence (AI) through the implementation of the AI Certification Program elevAIte Batch 1, attended by 60 selected participants.
