Authors:

Philo Jeremy Kaulkin

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About Paper:

Agriculture has been revolutionized countless times since its inception through technologies like plows, tractors, and pesticides. Now, the power of more precise data acquisition tools has the potential to further contribute and revolutionize agricultural technology. An optical communication and computer vision-based data acquisition system for just this purpose, could collect individualized data about hundreds or thousands of livestock with little to no maintenance required by farmers. In the example use-case for this technology, cage- free chickens are fitted with a digital tag capable of optical frequency identification (OFID) communication and self-charging via a solar cell. This tag can be equipped with a variety of sensors including accelerometers, microphones, and more. By aiming a laser and photoreceptor at the surface of a solar cell on the digital tag, half-duplex communications can be achieved by inducing voltage spikes on the solar cell with the laser and by detecting the natural photoluminescence or electroluminescence of the solar cell with the photoreceptor. This half-duplex serial communication is carried out using digital pulse interval modulation (DPIM) of either the laser or the luminescence of the solar cell. To aim the DPIM transceiver, a computer vision system is employed to identify tags on the backs of livestock and direct a dichroic mirror system rotating on two axes. With this precise and highly individualized data acquisition technique, farmers can make more informed decisions about their livestock, improving their yields and product quality, and scientists can analyze behaviors of these animals in their environment. Keywords: Computer Vision; Agriculture; Optical Communication; Artificial Intelligence; Solar Energy

Source:

Purdue University / 2024

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Co-authors:

Philo Jeremy Kaulkin