cover
Contact Name
Berliana Nur Kholila
Contact Email
admin@iasssf.com
Phone
+6281929015392
Journal Mail Official
jbiogritech@journal-iasssf.com
Editorial Address
Cluster Kukusan Jalan Rawa Pule 1 No 25 M, Beji, Kota Depok, Provinsi Jawa Barat, 16425, Indonesia
Location
Kota depok,
Jawa barat
INDONESIA
Journal of Biopesticides and Agriculture Technology
ISSN : -     EISSN : 30483921     DOI : https://doi.org/10.61511/jbiogritech.v2i1.2024
Core Subject : Agriculture, Social,
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.
Articles 11 Documents
From concrete jungles to urban gardens: AI-powered solutions for sustainable food production in cities Widjanarko, Alexander Imanuel; Daud, Nathan; Kurnianingtyas, Diva
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.

Page 2 of 2 | Total Record : 11