Editorial illustration for Aquawise Brings AI Water Quality Monitoring to Southeast Asian Aquaculture Farmers
AI Water Monitoring Transforms Southeast Asian Aquaculture
Aquawise to Demo AI Water Quality Monitoring at TechCrunch Disrupt 2025
Water quality monitoring could get a high-tech upgrade for Southeast Asian aquaculture. Farmers in the region often struggle with complex environmental challenges that can devastate fish and shrimp populations.
Bangkok-based startup Aquawise is betting on artificial intelligence to solve this persistent problem. Their approach? Using satellite imagery to track farm conditions without requiring farmers to purchase expensive new equipment.
The tech startup is set to showcase its new solution at TechCrunch Disrupt 2025, signaling growing interest in AI-driven agricultural technologies. Aquaculture represents a critical food production sector in Southeast Asia, where millions depend on seafood farming for their livelihoods.
By using existing satellite infrastructure, Aquawise could potentially transform how small and medium-scale farmers monitor their operations. The company's physics-based AI model promises to deliver insights that were previously difficult or costly to obtain.
Aquawise wants to offer aquaculture farmers in Southeast Asia a better way to monitor their water quality by using AI and existing satellites — no hardware purchases required. Bangkok-based Aquawise takes satellite images of fish and shrimp farms and feeds them into its physics-based AI model that monitors the water for things like temperature, level of chlorophyl, and oxygen levels. Aquawise’s platform can monitor water quality continuously; traditional methods monitor daily or weekly.
Aquawise also offers tracking and predictions. “Water quality is one of the most important things in aquaculture,” Patipond Tiyapunjanit, co-founder and CEO of Aquawise, told TechCrunch.
Aquawise could transform water quality monitoring for Southeast Asian aquaculture farmers. Their AI approach bypasses traditional hardware limitations by using existing satellite imagery to track critical environmental factors like temperature, chlorophyll, and oxygen levels.
The startup's physics-based model offers continuous monitoring, a significant upgrade from current daily or weekly assessment methods. Farmers might gain real-time insights without purchasing expensive equipment.
By using satellite technology, Aquawise addresses a practical challenge in regional agriculture. Their platform could help farmers make faster, more informed decisions about their fish and shrimp farms.
The company's upcoming demonstration at TechCrunch Disrupt 2025 suggests confidence in their technological approach. Still, questions remain about the AI model's precise accuracy and scalability across different farm environments.
For now, Aquawise represents an intriguing intersection of satellite imaging, artificial intelligence, and agricultural technology. Their solution could potentially provide Southeast Asian aquaculture farmers with a more efficient, cost-effective water quality monitoring system.
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Common Questions Answered
How does Aquawise use AI to monitor water quality in aquaculture farms?
Aquawise leverages satellite imagery and a physics-based AI model to track critical water parameters like temperature, chlorophyll, and oxygen levels. Their technology allows continuous monitoring without requiring farmers to purchase additional hardware, providing real-time insights into farm conditions.
What makes Aquawise's water quality monitoring approach unique for Southeast Asian aquaculture?
Unlike traditional methods that monitor water quality daily or weekly, Aquawise offers continuous monitoring through satellite imagery and AI technology. The startup's approach eliminates the need for expensive equipment, making advanced water quality tracking more accessible to farmers in the region.
What specific environmental factors does Aquawise track in aquaculture farms?
Aquawise's AI model monitors key water quality parameters including temperature, chlorophyll levels, and oxygen concentrations. By analyzing satellite images, the platform provides farmers with comprehensive insights into the environmental conditions that can impact fish and shrimp populations.