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Journal of Biopesticides and Agriculture Technology
Published by Institute for Advanced Science, Social, and Sustainable Future
ISSN : -     EISSN : 30483921     DOI : https://doi.org/10.61511/jbiogritech.v2i1.2024
Core Subject : Agriculture, Social,
Agriculture, Biological Sciences & Forestry Environmental Science
Aims: JBIOGRITech is committed to advancing the field of biopesticides and agricultural technology. Its primary goal is to showcase pioneering research that explores innovative biopesticide solutions and cutting-edge agricultural technologies. By providing a dedicated platform for high-quality research, JBIOGRITech aims to support the development of sustainable agricultural practices and enhance pest management strategies. Focus: The journal concentrates on research that integrates biopesticides with advancements in agricultural technology. It emphasizes studies that investigate novel biopesticide formulations, their effectiveness in pest control, and their role in sustainable agriculture. Additionally, the focus includes technological innovations that improve agricultural practices and contribute to more efficient and environmentally friendly farming methods. Scope: This journal seeks to publish a broad range of scholarly articles, including: 1. Biopesticide Development: Research on the formulation and application of biopesticides, including natural and organic substances used to control pests and diseases in crops. 2. Pest Management Strategies: Studies on the effectiveness of biopesticides in integrated pest management systems, including comparisons with conventional pest control methods and impact assessments. 3. Advancements in Agricultural Technology: Exploration of new technologies in agriculture, such as precision farming, automated systems, and innovations in crop management that enhance productivity and sustainability. 4. Sustainable Agricultural Practices: Analysis of how biopesticides and agricultural technologies contribute to sustainable farming practices, including their role in reducing chemical inputs and promoting soil health. 5. Impact Assessment: Evaluation of the environmental, economic, and health impacts of biopesticides and agricultural technologies, including studies on their safety, efficacy, and long-term effects. 6. Regulatory and Policy Issues: Examination of regulatory frameworks and policy considerations related to the use of biopesticides and agricultural technologies, including compliance and standards for safe use.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Makanan
Articles 14 Documents
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From concrete jungles to urban gardens: AI-powered solutions for sustainable food production in cities Alexander Imanuel Widjanarko; Nathan Daud; Diva Kurnianingtyas
Journal of Biopesticides and Agriculture Technology Vol. 2 No. 1: (February) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jbiogritech.v2i1.2025.2545

Abstract

Introduction: Urban agriculture in Indonesia faces critical challenges including agricultural land conversion, aging farmer workforce (39% over 55 years, only 21% millennials), and rural urban inequality. While deep learning technologies prove effective for agricultural optimization, Indonesia lags neighboring countries due to regulatory ambiguity, limited incentives, and low youth participation. This study develops Urfalogy, an artificial intelligence powered platform addressing three primary urban farming constraints: limited space, insufficient capital, and inadequate technology. Methods: This research employed Agile software development methodology integrated with deep learning. The You Only Look Once version 8 (YOLOv8) algorithm was utilized for environmental object detection and segmentation. Dataset preprocessing included multiple augmentation techniques: scaling, geometric transformation, brightness adjustment, contrast and color saturation modifications. The platform integrates nine features: artificial intelligence layout designer, plant variety recommender, plant health detection, soil monitoring with internet of things sensors, e-commerce, real time expert consultation, appointment scheduling, interactive tutorials, and analytics dashboard. Finding: Model training achieved optimal performance metrics at epoch 100: segment loss of 0.56756, recall of 90.01%, and mean Average Precision at intersection over union 0.50 (mAP50) of 90.715%. During inference, the model successfully identified environmental components (ceiling, wall, floor), enabling precise spatial mapping for garden layout design. The integrated platform demonstrates comprehensive end to end capability supporting complete urban farming workflow from planning through sales. Conclusion: Urfalogy represents a transformative solution effectively bridging Indonesia's urban agriculture gap through artificial intelligence, Internet of Things integration, and human centered design, significantly advancing sustainability, food security, and economic opportunities. Novelty/Originality of this article: This research uniquely combines deep learning-based spatial optimization with comprehensive platform ecosystem design, integrating YOLOv8 environmental analysis with real-time consultation and e-commerce, addressing specific technological, economic, and accessibility barriers in Indonesian urban agriculture.
Sporisorium scitamineum: A comprehensive mini-review on biology, pathogenicity, and management Raharjo, Laksamana Agadhia
Journal of Biopesticides and Agriculture Technology Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jbiogritech.v3i1.2026.3259

Abstract

Background: Sugarcane smut disease, caused by Sporisorium scitamineum, is one of the most destructive fungal diseases affecting sugarcane production in Indonesia. Although the national plantation area has expanded in recent years, productivity and sugar recovery rates remain low, hindering the achievement of sugar self-sufficiency. Understanding pathogen characteristics and improving disease management strategies are therefore critical to strengthening national sugarcane sustainability. Methods: This study employed a descriptive qualitative approach based on secondary data obtained from the Central Bureau of Statistics (BPS), the Ministry of Agriculture, and peer-reviewed scientific literature published within the last 5–10 years. The analysis covered national cultivation trends, pathogen morphology, and recent advances in chemical and biological control strategies. Findings: Indonesia’s sugarcane plantation area increased from 429,959 ha in 2018 to 494,764 ha in 2023; however, sugar recovery rates remain low (6.5–7.5%). Morphologically, S. scitamineum produces characteristic black whip-like structures containing brown teliospores, which disperse through wind, water, and infected planting materials. Disease control strategies include seed-cane treatment with systemic fungicides (e.g., flutriafol, propiconazole, triadimefon) and hot-water treatment. Biological control agents such as Trichoderma spp., Streptomyces spp., and Bacillus spp. demonstrate more than 70% suppression of pathogen growth. Recent developments emphasize integrated management combining genetic resistance, chemical protection, biological control, and molecular technologies. Conclusion: Effective management of sugarcane smut in Indonesia requires an integrated and sustainable approach that combines agronomic, chemical, biological, and molecular strategies. Strengthening disease control systems is essential to improving productivity and supporting national sugar security. Novelty/Originality of this article: This study provides an updated synthesis linking national production trends with pathogen biology and integrated control innovations. By connecting macro-level agricultural data with micro-level pathogen characteristics and emerging molecular approaches, it offers a comprehensive framework for sustainable smut disease management in Indonesia.
Grotox: Natural nutrition and plant protection based on chemical-free organic waste to support sustainable agriculture by 2035: Agriculture and Food Marsha Nabila; Muhammad Sururi; Sitti Nurhidayati
Journal of Biopesticides and Agriculture Technology Vol. 2 No. 1: (February) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jbiogritech.v2i1.2025.3604

Abstract

Background: The increasing use of synthetic fertilizers and chemical pesticides has generated environmental, economic, and health concerns, creating a need for sustainable agricultural innovations. Organic waste has potential as a natural source of nutrients and bioactive compounds, particularly nitrogen and alkaloids, which can support plant growth and provide pest protection. Methods: This study applied an experimental and descriptive approach through the extraction of nitrogen and alkaloid compounds from organic waste, followed by product formulation using controlled mixing techniques with natural binders. The effectiveness of the formulated product, GroTox, was evaluated based on plant growth performance and pest resistance indicators using descriptive analysis. Findings: The results showed that GroTox was effective in optimizing plant growth while simultaneously enhancing protection against pests. Nitrogen contributed to plant metabolic processes, whereas alkaloids functioned as natural antimicrobial and insect-repellent agents. The product demonstrated the synergistic benefits of combining nutritional and protective functions within a single formulation. Conclusion: GroTox has strong potential as an environmentally friendly and cost-effective agricultural input that supports sustainable farming systems. The product may help reduce dependence on synthetic fertilizers and chemical pesticides while contributing to ecological balance and sustainable agriculture practices. Novelty/Originality of this article: The novelty of this study lies in the integration of plant nutritional and pest-protective functions within a single organic waste–based formulation. This innovation offers a practical and sustainable alternative to conventional agricultural inputs while supporting the achievement of Sustainable Development Goals.
SQCDM analysis for pv and vawt-based smart aquaponic systems Yohanes Leonaldo Sinaga; Rofiq Husni Fajarudin; Apriliyan Kurnia Falah
Journal of Biopesticides and Agriculture Technology Vol. 2 No. 1: (February) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jbiogritech.v2i1.2025.2268

Abstract

Background: Rapid urbanization, climate stress, and resource limitations increase the need for resilient urban food production systems. Aquaponics offers a sustainable approach by integrating aquaculture and hydroponics, but challenges remain in environmental monitoring, operational efficiency, and energy reliability. Emerging technologies such as IoT, AI, automation, and renewable energy can enhance system performance. Methods: This study develops a conceptual design of a grid-aware smart aquaponics system through a literature review and practice-grounded system description. The proposed architecture integrates IoT-based water quality sensing, AI-assisted plant monitoring, automated feeding, a Fuzzy Logic Controller on a Raspberry Pi 4, and a hybrid photovoltaic–vertical-axis wind turbine (PV–VAWT) power supply. The design is evaluated using the SQCDM framework (Safety, Quality, Cost, Delivery, and Morale). Findings: The proposed system enables continuous monitoring and feedback control of water quality parameters, supports fish and plant health, reduces routine labor through automation, and ensures uninterrupted operation through hybrid renewable energy. The SQCDM assessment highlights enhanced operational safety, quality assurance through real-time monitoring, cost transparency, deployment feasibility using off-the-shelf components, and improved user confidence through accessible interfaces and training support. Conclusion: The conceptual architecture provides a practical framework for future smart aquaponics implementation. The integration of cyber-physical supervision, intelligent control, and renewable energy has the potential to improve system resilience, operational stability, and sustainability in urban food production. Novelty/Originality of this article: This study proposes an integrated grid-aware smart aquaponics framework that combines IoT sensing, AI-based crop assessment, fuzzy logic control, automated feeding, and hybrid PV–VAWT renewable energy. It also introduces the SQCDM framework as a comprehensive and practice-oriented tool for evaluating smart aquaponics system design and operational readiness.

Page 2 of 2 | Total Record : 14

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