Abstract
Agriculture is the chief support for the nation, measures have to be taken to solve the problems faced by the farmers which mainly includes the increasing jeopardy caused by animals in farm fields. They mainly damage the crops during sowing, seedling and ripening stages and cause economic loss to farmers and reduce the country’s GDP. Ultrasonic Repellers are flourishing and its functionality can be increased by installing it on drones. Furthermore, Machine Learning and Artificial Intelligence can be incorporated for detection of animals destroying the farm field and produce the upper limit frequency (ultrasonic frequency) of the detected animal. Raspberry Pi and a rebarbative system are used which is mounted on the drone. As the gadget is not static, that is the Raspberry Pi along with the rebarbative circuit for producing ultrasonic frequency is placed on the drone, the repelling capacity is not bounded to a specific area but the entire field. Invading animals do not get adjusted to the ultrasonic frequency and thereby the repelling capacity is efficient. Generated ultrasonic frequency will not get attenuated and is directed to targeted animals as directional speakers are used. Since wild animals and birds species are deleterious this device is more convenient to repel them and outshines the existing system as efficient and advancing technologies like machine learning and electronics technologies are inculcated.
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Raghunandan, G.H., Ninaada, M.S., Keerthana, R. (2023). Drone Integrated Detection and Rebarbative System with Variable Frequency for Agricultural Farm Invading Animals. In: Goswami, S., Barara, I.S., Goje, A., Mohan, C., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. ICDMAI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 137. Springer, Singapore. https://doi.org/10.1007/978-981-19-2600-6_12
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