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Eco-Green Catalys: An Intelligent Distribution Network for Generative Mycorrhizal Spores Through AI and Iot Optimization for Ecological Complexity Engineering in Post-Deforestation Lands Based on Restorative Bio-Economy Principles Mahmudi, Gilang Arya; Lestari, Dwi Puji; Arianto, Davina Anindya Cindy
Journal of Regional Development and Technology Initiatives Vol. 4 No. 1 (2026)
Publisher : IDRIS Darulfunun Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58764/j.jrdti.2026.4.131

Abstract

The ecological crisis caused by illegal deforestation has resulted in severe soil degradation, biodiversity loss, and disruption of ecosystem balance. Eco-Green Catalys emerges as an adaptive biotechnological innovation integrating Artificial Intelligence (AI) and the Internet of Things (IoT) to accelerate the restoration of post-deforestation lands. This system operates through an intelligent distribution network of generative mycorrhizal spores, which precisely controls inoculation, moisture regulation, and nutrient delivery based on real-time soil data analysis. Supported by a Spatio-Temporal Deep Learning (STDL-AI) framework, the system demonstrates up to 96% accuracy in ecological monitoring, enhances vegetation recovery rates by 70%, and increases carbon sequestration capacity by 35% compared to conventional restoration methods. Beyond ecological rehabilitation, this innovation reinforces the principles of restorative bio-economy by utilizing renewable energy sources and community-based participation, aligning with the Sustainable Development Goals (SDG 13) on climate action and long-term ecological resilience. Overall, Eco-Green Catalys provides a scalable and data-driven model that bridges environmental technology and socio-economic sustainability in restoring tropical ecosystems.
REGENerasi: Renewable bioenergy technology based on anaerobic fermentation and IoT from corn and straw waste to address the energy crisis for farmers in the era of climate change Mahmudi, Gilang Arya; Bagaskoro, Satria; Lestari, Dwi Puji
EcoVision: Journal of Environmental Solutions 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/evojes.v3i1.2026.2520

Abstract

Background: Indonesia, as an agrarian country, faces a major challenge in the form of an energy crisis within the agricultural sector, increasingly exacerbated by climate change. Approximately 62% of agricultural energy demand in Indonesia still relies on conventional methods, while irrigation energy requirements continue to rise by an average of 15% per planting season in drought-prone areas. Consequently, 64% of farmers report energy cost increases exceeding 20%, and 27% experience partial crop failures, posing a threat to national food security. To address these challenges, this study proposes an innovation called REGENerasi: a renewable bioenergy technology based on anaerobic fermentation and the Internet of Things (IoT), utilizing corn and straw waste. Methods: This study employs a literature-based analytical approach to explore the potential of integrating anaerobic fermentation reactors with IoT sensors for efficient bioenergy production. The anaerobic fermentation process converts lignocellulosic agricultural residues particularly corn cobs and straw containing 32–40% cellulose, 25–30% hemicellulose, and 15–20% lignin into biogas (methane), biochar, and liquid fertilizer within a multi-integrated system. IoT-based monitoring and control systems were theoretically assessed for their capacity to enhance biomass conversion efficiency and energy savings. Findings: The literature review reveals that IoT integration in anaerobic fermentation systems can improve biomass conversion efficiency by up to 35% and reduce energy consumption by 20%. The use of high-lignocellulose agricultural waste, such as corn and straw residues, provides a sustainable substrate for biogas production. The proposed system has potential to generate thermal and electrical energy while simultaneously producing biochar and organic fertilizer, creating a circular and environmentally friendly agricultural energy model. Conclusion: This bioenergy innovation strengthens farmers’ energy independence and contributes to climate change mitigation and adaptation strategies. It aligns with Sustainable Development Goal (SDG) 13 Climate Action by promoting local renewable energy solutions within the agricultural sector. Novelty/Originality of this article: The novelty of this research lies in the development of an adaptive renewable bioenergy system that integrates anaerobic fermentation with IoT technology using corn and straw waste as substrates. This multi-integrated model offers a new pathway for sustainable energy generation and circular resource management in rural agricultural communities, particularly in East Java, Indonesia.