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The paper describes an acoustic system for detecting and monitoring pink bollworm, Pectinophera gossypiella, in cotton. Essentially the system detects larval activity inside the cotton boll from the sounds made by larvae eating and moving. A standard electret microphone in a stethoscope head works admirably as a sensor that could detect larval activity. In the version of the system, the authors divided the number of sensors between 2 boxes, with 16 sensors per box. They developed an amplifier that was much less noisy. Also new computer boards became available that made it possible to input the 32 channels simultaneously. They developed new software to analyze the data. The system software measures the activity of the larvae by determining the number of acoustic events per minute, as a function of time in days. Since 32 samples are obtained simultaneously with the system, one can make statistical studies of the life cycle. One major advantages of the system is that it can be operated while the researcher is doing other things. In the practical problem of detecting pink bollworm the authors were not successful in following the life cycle of the pink bollworm as they had done for the rice weevil. Also noise interference proved to be more of a problem than it was anticipated. The 32-channel system is a a powerful tool, both for laboratory research and as a replacement for the cutting method fo detecting larvae in agricultural commodities. It can detect pink bollworm in bolls during the first instar. Simultaneous sensing on many channels makes the system extremely rapid. Also the system is cost-effective and greatly reduces the risk of human error.