Smart scarecrow

Thailand is an agricultural country, where is located in Southeast Asia. We can produce various kinds of food in not only a good quality but also a huge quantity. One problem of both quality and quantity control of our food products are the food harmful pests such as bird, ant, weevil, aphid, grassh...

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Main Authors: Chomtip Pornpanomchai, Malinee Homnan, Navarat Pramuksan, Walika Rakyindee
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/11899
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Institution: Mahidol University
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spelling th-mahidol.118992018-05-03T15:11:56Z Smart scarecrow Chomtip Pornpanomchai Malinee Homnan Navarat Pramuksan Walika Rakyindee Mahidol University Engineering Thailand is an agricultural country, where is located in Southeast Asia. We can produce various kinds of food in not only a good quality but also a huge quantity. One problem of both quality and quantity control of our food products are the food harmful pests such as bird, ant, weevil, aphid, grasshopper etc. Therefore, this project intends to develop the computer system that can be chased birds from a farm. The smart scarecrow is developed by using an image processing technique. Overall works are software development. The system is designed to detect pest birds from a real time video frame after it detects the birds then it generates a loudly sound to chase them. The system consists of four major components: 1) image acquisition 2) image preprocessing, 3) bird recognition and 4) generating sound. The experiment has been conducted in order to access the following qualities: 1) usability, to prove that the system can detect and scare pest birds and 2) efficiency, to show that the system can work with a high accuracy. © 2011 IEEE. 2018-05-03T08:11:56Z 2018-05-03T08:11:56Z 2011-03-28 Conference Paper Proceedings - 3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011. Vol.3, (2011), 294-297 10.1109/ICMTMA.2011.644 2-s2.0-79952930709 https://repository.li.mahidol.ac.th/handle/123456789/11899 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79952930709&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Engineering
spellingShingle Engineering
Chomtip Pornpanomchai
Malinee Homnan
Navarat Pramuksan
Walika Rakyindee
Smart scarecrow
description Thailand is an agricultural country, where is located in Southeast Asia. We can produce various kinds of food in not only a good quality but also a huge quantity. One problem of both quality and quantity control of our food products are the food harmful pests such as bird, ant, weevil, aphid, grasshopper etc. Therefore, this project intends to develop the computer system that can be chased birds from a farm. The smart scarecrow is developed by using an image processing technique. Overall works are software development. The system is designed to detect pest birds from a real time video frame after it detects the birds then it generates a loudly sound to chase them. The system consists of four major components: 1) image acquisition 2) image preprocessing, 3) bird recognition and 4) generating sound. The experiment has been conducted in order to access the following qualities: 1) usability, to prove that the system can detect and scare pest birds and 2) efficiency, to show that the system can work with a high accuracy. © 2011 IEEE.
author2 Mahidol University
author_facet Mahidol University
Chomtip Pornpanomchai
Malinee Homnan
Navarat Pramuksan
Walika Rakyindee
format Conference or Workshop Item
author Chomtip Pornpanomchai
Malinee Homnan
Navarat Pramuksan
Walika Rakyindee
author_sort Chomtip Pornpanomchai
title Smart scarecrow
title_short Smart scarecrow
title_full Smart scarecrow
title_fullStr Smart scarecrow
title_full_unstemmed Smart scarecrow
title_sort smart scarecrow
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/11899
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