Design of Agricultural Aircraft with Audio Anti-bird

Yong, Wei; Liu, Hua; Shu, Jianwei; Shi, Binjie

doi:10.1109/imccc.2015.25

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Mikroprosesor merupakan salah satu ilmu dalam bidang elektronika yang dipelajari pada perkuliahan jurusan Sistem Komputer, kemudian timbul gagasan untuk mengimplementasikan sebuah alat berbasis mikroprosesor yang serba otomatis dan efisiensi, saat ini penelitian melakukan observasi terhadap populasi burung di sekitar persawahan [1].…”

Section: Pendahuluanunclassified

Perancangan Wereless Sensor Actautor Networks Sebagai Optimasi Panen Padi Di Bidang Pertanian Berbasis Computer Vision

Roihan¹,

Ariessanti²,

Pratama³

2020

icit

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Burung adalah salah satu jenis hama atau perusak yang terdapat pada area persawahan. Umumnya para petani menggunakan tali-tali plastik dan orang-orangan sawah untuk mengusir hama burung tersebut, cara yang dilakukan oleh para petani tersebut ternyata kurang efektif, hal tersebut dapat dilihat dari masih banyaknya hama burung yang merusak area persawahan yang mengakibatkan kurang maksimalnya produktivitas hasil panen. Sebuah metode automasi yang cerdas dibutuhkan untuk menjawab kesulitan yang dialami oleh para petani tersebut. Dengan menerapkan sistem pengusir burung secara otomatis dengan cara mendeteksi keberadaan burung serta memanfaatkan frekuensi suara yang dikeluarkan sebesar 20KHz - 50KHz maka mampu mengusir hama burung. Alat ini bekerja dengan cara menggunakan Kamera WebCam untuk menangkap objek burung dalam setiap frame yang kemudian diproses oleh Raspberry Pi. Setelah objek tertangkap pada kamera maka ESP8266 akan aktif dan mengaktifkan actuator berupa Frekuensi Suara sebesar 20KH - 50KHz. Kata Kunci: Raspberry Pi, Kamera WebCam, Frekuensi Suara, ESP8266

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Section: Pendahuluanunclassified

Perancangan Wereless Sensor Actautor Networks Sebagai Optimasi Panen Padi Di Bidang Pertanian Berbasis Computer Vision

Roihan¹,

Ariessanti²,

Pratama³

2020

icit

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“…Zhao Z tried to use natural enemy sounds to repel harmful birds on the speaker [11]. Wei Y used ultrasonic sound to defeat the bird [12].…”

Section: Introductionmentioning

confidence: 99%

Anti-Adaptive Harmful Birds Repelling Method Based on Reinforcement Learning Approach

Lee

Muminov

et al. 2021

IEEE Access

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To prevent crop damage from harmful birds, various repelling methods have been studied. However, harmful birds are still causing damage in the orchard by adapting to the repelling device according to their biological characteristics. This paper proposes a method called Anti-adaptive Harmful Birds Repelling (AHBR) that uses the model-free learning idea of the Reinforcement Learning (RL) approach to repell harmful birds that can effectively prevent bird adaptation problems. To prevent adaptation, the AHBR method uses a method of learning the bird's reaction to the available threat sounds and playing them in patterns that are difficult to adapt through the RL approach. We also proposed the Long-term and Shortterm (LaS) policy to meet the Markov assumptions that make RL difficult to implement in the real world. The LaS policy enable learning of the actual bird's reaction to the sound of a threat. The performance of the AHBR method was evaluated in a closed environment to experiment real harmful bird such as Brown-eared Bulbul, Great Tit, and Eurasian Magpie captured in orchards. Results obtained from the experiment showed that the AHBR method was on average 43.5% better than the threat sound patterns(One, Sequential, Reverse Sequential, Random) used in commercial products.INDEX TERMS Agricultural engineering. Machine learning. Intelligent systems. Automation. Antiadaptive repeller

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Evaluation Methods of Bird Repellent Devices in Optimizing Crop Production in Agriculture

Roihan

Hasanudin

Sunandar

2020

J. Phys.: Conf. Ser.

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Rice field environments and bird attacks are the main problems for coverage and automatic pest control. Birds are one of several pests or destructive animals that can be found in rice fields. In general, farmers use traditional equipment such as plastic ropes and scarecrow to ward off these bird attacks. This research compares several methods of bird detection through camera sensors and chooses the best method in terms of accuracy, then applies it to repel birds automatically by utilizing sound frequencies that are disliked by birds and can repel bird pests. The design of the Bird repellent device works by utilizing computer vision techniques through camera sensors to capture bird objects in each frame, then it is processed by a microcontroller. After the object is captured on the camera, the microcontroller will activate the actuator in the form of sound frequency. The research objective is to design prototypes for the process of monitoring and automatic control of bird attacks to optimize crop yields in agriculture, based on the Internet of Things.

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Design of Agricultural Aircraft with Audio Anti-bird

Cited by 3 publications

References 3 publications

Perancangan Wereless Sensor Actautor Networks Sebagai Optimasi Panen Padi Di Bidang Pertanian Berbasis Computer Vision

Perancangan Wereless Sensor Actautor Networks Sebagai Optimasi Panen Padi Di Bidang Pertanian Berbasis Computer Vision

Anti-Adaptive Harmful Birds Repelling Method Based on Reinforcement Learning Approach

Evaluation Methods of Bird Repellent Devices in Optimizing Crop Production in Agriculture

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