AgTech: Building Smart Aquaculture Assistant System Integrated IoT and Big Data Analysis

Abstract

The development of Internet of Things (IoTs) technology in agriculture, notably aquaculture, has increased over the years due to empowering real-time monitoring and improved environmental sustainability. To ensure the development and survival of aquatic life, farm employees must constantly check and take prompt action to protect the sustainable habitat in ponds. It is also crucial for providing technical assistance to farmers during the growing season. To address these issues, we present the building of a smart aquaculture assistant system integrated with IoT and Big Data. The main components of this system include the IoT layer assistant layer. First, tracking the pond environment functions through sensor systems set up in the pond, such as turbidity, pH, and temperature sensors, which are built for the IoT layer. Our assistant can make suggestions for farmers by visualizing farm environment conditions and outdoor weather analysis. The assistant layer uses a fine-tuning NLP model GPT 3.5 for our aquaculture farming 500 frequently asked questions and crawled knowledge dataset. The chatbot can provide naturally logical replies and knowledge related to farming activities. The system is implemented as mobile and desktop applications using React Native and Python to monitor or manipulate administrative tasks. Thus, thanks to our smart assistant, prompt preventive action can be taken to reduce losses, increase productivity, and enhance farmers’ knowledge related to farming.