A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141069" target="_blank" >RIV/00216305:26220/21:PU141069 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/21/12/4244/htm" target="_blank" >https://www.mdpi.com/1424-8220/21/12/4244/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s21124244" target="_blank" >10.3390/s21124244</a>

Result language
angličtina
Original language name
A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit
Original language description
Flocks of birds may cause major damage to fruit crops in the ripening phase. This problem is addressed by various methods for bird scaring; in many cases, however, the birds become accustomed to the distraction, and the applied scaring procedure loses its purpose. To help eliminate the difficulty, we present a system to detect flocks and to trigger an actuator that will scare the objects only when a flock passes through the monitored space. The actual detection is performed with artificial intelligence utilizing a convolutional neural network. Before teaching the network, we employed videocameras and a differential algorithm to detect all items moving in the vineyard. Such objects revealed in the images were labeled and then used in training, testing, and validating the network. The assessment of the detection algorithm required evaluating the parameters precision, recall, and F1 score. In terms of function, the algorithm is implemented in a module consisting of a microcomputer and a connected videocamera. When a flock is detected, the microcontroller will generate a signal to be wirelessly transmitted to the module, whose task is to trigger the scaring actuator.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering

Project
<a href="/en/project/TJ04000441" target="_blank" >TJ04000441: A Starling Scaring System Using a Passive Optical Locator</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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