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Novia Utami Putri
Universitas Teknokrat Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Energy and Electrical Engineering (JEEE)

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UTILIZATION OF ROVER AI AGENTS FOR PALM OIL PLANTATION AUTOMATION Aryanto, Aryanto; Putri, Novia Utami; Janara Brata, I Nengah Marccel
Journal of Energy and Electrical Engineering Vol 7, No 1: October 2025
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v7i1.13033

Abstract

ABSTRACT: The integration of artificial intelligence into autonomous rover systems represents a paradigm shift in how palm oil plantations can be managed and operated. Our research explores the deployment of intelligent rover agents that combine sophisticated machine learning algorithms with advanced robotics to transform traditional agricultural practices. Through extensive field trials spanning 500 hectares of operational plantations, we observed remarkable improvements in disease detection accuracy, reaching 94 percent. At the same time, pesticide consumption decreased by 87 percent through the use of precision application techniques. The system architecture leverages edge computing capabilities to process multispectral imagery and environmental sensor data in real-time, enabling an immediate response to detected anomalies. Deep reinforcement learning guides the navigation system, allowing the rovers to autonomously traverse complex plantation terrain, while convolutional neural networks analyze plant health indicators with unprecedented precision. Communication between multiple rover units occurs through a federated learning framework that preserves bandwidth and enables collective intelligence growth without compromising data privacy. This comprehensive approach yielded a 35% increase in overall operational efficiency, underscoring the transformative potential of AI-driven automation in tropical agricultural environments. KEYWORDS: AI agents, autonomous rovers, deep learning, edge computing, palm oil automation, precision agriculture
Co-Authors Agrananto Ghozanfar Agus Apriyanto Agus Mulyanto Agus Riyanto, Dwi Akhmad Jayadi Alexander Sembiring Ananda, Novan Dwiki Apriyanto, Agus Ardiantoro, Nur Faqih Arif Fauzi, Muhammad Arif Fauzi, Muhammad Arif Fauzi Arif Maulana Arif Maulana, Arif Aryanto Aryanto Asri Alawiyah Bayu Wibowo Dalimunthe, Ernando Rizki Dian Pratiwi Dian Pratiwi Dirga Rama Setiadi dirga, Dirga Rama setiadi Dwi Agus Riyanto Elka Pranita Erliyan Redi Susanto Ernando Rizki Dalimunthe Faidar, Muhammad Anwar Sadat Fajar Anggit Nugroho Fauzi, Muhammad Arif Febrihadi, Ahmad Fauzan Firman Fahrodin Hadi, Agung Efriyo Hardianto, muhammad andre Hegen Persada Hendrawan, Resnandi Hendrawan I Wayan Sudana Ibrahim, Fauzi Ida Ayu Putu Sri Widnyani Jaka Persada Sembiring Janara Brata, I Nengah Marccel Jupriyadi, Jupriyadi Leny Meilisa Lie Jasa Marjuni, Teuku Marsi Bani Muhamad Randyka Rojat muhammad Arif Fauzi Muhammad Bakri Muhammad Dandy Muhammad Kiki Darmawan Muhammad Riski Murti, Adam Wisnu Nanda Dana Pala Neneng Neneng Nur Faqih Ardiantoro Nur Faqih Ardiantoro Okky Adi Darmawan Pala, Nanda Dana Pranita, Elka Pratama, Wayan Rio Adi Prayoga, Anggi Prayoga, Ramadani Ahmad Qadhli Jafar Adrian Ramadhani Ahmad Prayoga Retno Wahyudi Satriyan Utama Selo Jelang Pangestu Selvi Helina Sembiring, Alexander Solehudin Solehudin Solly Aryza Stiyawan, Imas suaidah suaidah SUAIDAH SUAIDAH, SUAIDAH Susanto, Try Tegar Arya Pratama Tri Darma Rosmala Sari Tria Prameswari Try Susanto Usman Nur Ikhsan Utama, Satriyan Wahyu Wahyu Wahyudi, Retno Wayan Rio Adi Pratama Yusak Maryunianta Yusup, Maulid Wahid Zahwa Khoirunnisa Zain, Alfath