LeafSense

Mohammad Syahril, Muhammad Aliff Hafiy and Muhammad Hilmi, Muhammad Harith and Ukail Samingin, Muhammad Shahmi and Syed Mohd Akhirudin, Syed Hassan Al Husaini and Ahmad Azli, Ahmad Hazim Luqman and Akhyani, Nur Atiqah (2025) LeafSense. In: The Fourth International Competition on Sustainable Education 2025, 20th August 2025.

Abstract

LeafSense ialah sistem pemantauan pintar berasaskan sensor yang direka untuk menilai Kesihatan tumbuhan melalui analisis masa nyata terhadap warna, suhu dan kelembapan daun. Menggunakan teknologi IoT terbina dan interpretasi data berasaskan AI, LeafSense membantu pertanian tepat dengan mengesan tanda awal tekanan, kekurangan nutrien atau penyakit. Sistem ini bertujuan mengoptimumkan pengurusan tanaman, mengurangkan penggunaan bahan kimia, dan meningkatkan hasil secara mampan.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Mohammad Syahril, Muhammad Aliff Hafiy
UNSPECIFIED
Muhammad Hilmi, Muhammad Harith
UNSPECIFIED
Ukail Samingin, Muhammad Shahmi
UNSPECIFIED
Syed Mohd Akhirudin, Syed Hassan Al Husaini
UNSPECIFIED
Ahmad Azli, Ahmad Hazim Luqman
UNSPECIFIED
Akhyani, Nur Atiqah
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Teaching (Principles and practice) > Technology. Educational technology
L Education > LB Theory and practice of education > Blended learning. Computer assisted instruction. Programmed instruction
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Kuala Pilah Campus
Journal or Publication Title: The International Competition on Sustainable Education 2025 E-Proceeding
Event Title: The Fourth International Competition on Sustainable Education 2025
Event Dates: 20th August 2025
Page Range: pp. 633-637
Keywords: Daun, nutrien, kesihatan
Date: September 2025
URI: https://ir.uitm.edu.my/id/eprint/125942
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