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El Sonido del Éxito: Un 'Oído' de IA Promete Revolucionar la Acuicultura Sostenible
ISRAEL
Wednesday, January 14, 2026, 00:10 (GMT + 9)
JERUSALEM — In a breakthrough for the $290 billion global aquaculture industry, Israeli researchers have developed an artificial intelligence system capable of "listening" to fish to determine exactly when they are hungry. This technology, detailed in the upcoming March 2026 issue of Computers and Electronics in Agriculture, promises to slash operational costs and significantly reduce the environmental footprint of fish farms.
Precision Feeding Through Acoustic Monitoring
The research, led by a collaborative team from the National Center for Mariculture (NCM) in Eilat and the Israel Institute of Technology (Technion), utilizes specialized underwater microphones (hydrophones) to capture the acoustic signatures of feeding.
While traditional methods rely on static feeding charts and biomass estimates, this AI-driven approach reacts to real-time biological cues.
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The Process: Machine learning algorithms were trained to isolate the specific "crunch" of Sea Bream biting into food pellets.
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The Challenge: The AI successfully filters out heavy "background noise" common in industrial farms, such as water pumps, boat engines, and wave action.
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The Result: A system that identifies three distinct states: Hungry, Satiated (Full), or Stressed.
Solving the "Goldilocks" Dilemma
The researchers emphasize that feeding control is the most volatile variable in aquaculture. Current inefficiencies lead to two major problems:
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Overfeeding: Excess pellets sink to the bottom, where they decompose. This releases ammonia and phosphorus, leading to oxygen depletion and harmful algal blooms in local ecosystems. It also accounts for nearly 50-60% of a farm's total operating costs.
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Underfeeding: This causes physiological stress, stunts growth rates, and weakens the immune systems of the fish, making the entire population more susceptible to disease outbreaks.
 By using sound to stop feeding the moment the "biting" noise tapers off, farmers can achieve a "Goldilocks" zone of perfect efficiency.
Beyond Sea Bream: A Scalable Future
The implications of this research extend far beyond a single species. Preliminary tests conducted by the NCM team have shown that the AI can be adapted to detect signs of aggression and stress in Shrimp and Oysters.
"This provides a scalable, automated, and cost-effective way to optimize feeding while simultaneously monitoring animal welfare," the study authors noted.
As global demand for seafood is projected to increase by 15% by 2030, this Israeli innovation offers a high-tech path to meeting protein needs without compromising the health of our oceans.
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