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All Journal Bincang Sains dan Teknologi
Bara, Zuraida Julhiji
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Computer Science & IT Electrical & Electronics Engineering Energy Engineering Transportation

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The Use of IoT on Smart Agriculture in the Philippines: A Narrative Review Mastul , Al-Rashiff Hamjilani; Awae, Afdol; Bara, Zuraida Julhiji; Yaro, Yusuf
Bincang Sains dan Teknologi Vol. 2 No. 03 (2023): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bst.v2i03.416

Abstract

This study, focusing on the Philippines, explores the benefits of implementing IoT (Internet of Things) technologies in modern agriculture. The primary objectives are to assess the impact of IoT on crop monitoring, livestock tracking, weather monitoring, automated irrigation, precision steering, greenhouse automation, and field mapping. The research methodology involved an extensive review of the current literature on IoT applications in agriculture and interviews and surveys with farmers and agricultural experts in the Philippines. Data were collected and analyzed to understand IoT adoption's practical implications and challenges in various agrarian domains. The findings indicate that IoT technologies offer significant advantages in enhancing agricultural practices in the Philippines. IoT-based crop monitoring provides real-time data on environmental conditions, enabling farmers to optimize irrigation, fertilization, and pest control. Livestock tracking through IoT ensures animal well-being and efficient breeding practices. IoT-based weather monitoring aids in informed decision-making for crop protection and risk management. Automated irrigation using IoT sensors reduces water wastage while improving crop health. Precision steering systems enhance resource management during planting and harvesting. Greenhouse automation optimizes plant growth conditions and reduces manual labour. Field mapping via IoT allows for site-specific management, improving yield and sustainability. Despite the benefits, challenges like internet connectivity and initial investment remain, necessitating comprehensive strategies for IoT integration in Philippine agriculture.
Blue Carbon: Examining its Role in Addressing the Climate Crisis Alih, Alwida Abdurahman; Bara, Zuraida Julhiji
Bincang Sains dan Teknologi Vol. 3 No. 01 (2024): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bst.v3i01.509

Abstract

Coastal ecosystems, especially mangroves and seagrass beds, play a crucial role in maintaining the balance and sustainability of coastal ecosystems. Besides being a natural bulwark against storms and ocean waves, mangroves are unique in their ability to absorb and store carbon dioxide in their biomass and mud soil. Meanwhile, seagrass beds support the sustainability of coastal ecosystems and act as sinks for substantial marine carbon. Logging or damaging these ecosystems can result in massive releases of carbon, exacerbating climate change. Therefore, the conservation and restoration of mangroves and seagrass beds through research methods and sustainable policy implementation is essential to maintain global environmental sustainability and mitigate the impacts of climate change.
Integration of Artificial Intelligence (AI) and Internet of Things (IoT) in Smart Agriculture Bara, Zuraida Julhiji; Riasat, Shahroz; Ahsan Khan , Muhammad
Bincang Sains dan Teknologi Vol. 4 No. 02 (2025): Bincang Sains dan Teknologi
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/bst.v4i02.941

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing modern agriculture by enabling precision, automation, and data-driven decision-making across various farming domains. This paper explores key applications of AI-IoT systems, including precision resource management, smart irrigation, crop health monitoring, and livestock management. Precision farming techniques supported by AI-IoT models achieve high accuracy (98.65%) and efficiency, significantly improving input optimization through variable rate application and real-time insights. Smart irrigation systems, such as “Vital,” demonstrate the effective use of explainable AI and low-cost sensors to automate water usage based on soil and weather data. Additionally, AI-IoT integration enhances crop protection through early disease detection and improves animal welfare via continuous livestock monitoring. The environmental benefits are notable, with reduced resource waste and lower greenhouse gas emissions, while economic advantages include increased productivity and supply chain efficiency. Despite the potential, challenges remain in infrastructure, cost, and user training. Emerging innovations such as edge computing, digital twins, and cloud-based management systems are shaping the future of smart agriculture, promising more autonomous, sustainable, and accessible solutions for global food security.
Co-Authors Ahsan Khan , Muhammad Alih, Alwida Abdurahman Awae, Afdol Mastul , Al-Rashiff Hamjilani Riasat, Shahroz Yaro, Yusuf