ABSTRACT
The support of Artificial Intelligence (AI) and the Internet of Things (IoT) into sustainability concept will improve the robustness of sustainable agro-industry. This research aims to increase the potato agro-industry competitiveness by predicting the harvest number using IoT, determining optimal logistics routes using AI, and tracking and tracing potato commodities in Asia, especially Indonesia. The research contribution elaborates a sustainable agro-industry using remote sensing with a multi-thresholding and synergy spatial perspective based on AI. The results showed that the spatial perspective, namely altitude (>1,300 masl), soil texture (andosol), slope (8–13%), rainfall (300mm/month) and temperature (17–20°C), affected increase in the potato harvest number. This research has succeeded in predicting the harvest number with an accuracy rate of 89.35%. This research also shows that the proposed new method, namely spatial Dijkstra, can provide the most optimal alternative logistic route solution than the classical Dijkstra. This research also established accuracy with tracking and tracing based on an AI of 89.21%. This new approach has demonstrated the supply and demand balance in an adaptive, sustainable agro-industrial model simulation. This model needs to be implemented in the Asian sustainable agro-industry so that decision-makers can more quickly and accurately recommend a decision.
