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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) ELKHA : Jurnal Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Bulletin of Social Informatics Theory and Application
Rosmin, Norzanah
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : Bulletin of Social Informatics Theory and Application

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Smartphone for palm oil fruit counting to reduce embezzlement in harvesting season Aripriharta, Aripriharta; Firmansah, Adim; Mufti, Nandang; Horng, Gwo-Jiun; Rosmin, Norzanah
Bulletin of Social Informatics Theory and Application Vol. 4 No. 2 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v4i2.283

Abstract

Harvest estimation is an essential parameter in the agriculture industries to estimate transportation facilities and storage areas in the harvesting season. Meanwhile, companies are required to calculate crop yields quickly and accurately. This paper reports on an experimental study in the form of a smart application to count oil palm fruit in the field quickly and accurately. The system used a single shot detector algorithm to count the number of fresh fruit bunches (FFB) on-site using a smartphone camera. The cutting area (CA) at the top of the collection was collected in various positions in the database. Our research documented that the algorithm matched the CA with the picture taken by the operator. Hence, the application automatically calculated the number of harvests per-site in the FFB unit. The data were then sent to the cloud database via a wireless router in a warehouse or through a cellular network. The main advantage of this application is reducing the theft that usually occurs on the spot. The model used performs very well for agricultural applications, with 94% to 99% accuracy.
Co-Authors A.N. Afandi Adim Firmansah Aji Prasetya Wibawa Al Rasyid, Mochammad Syarifudin Aripriharta - Bagaskoro, Muhammad Cahyo Horng, Gwo-Jiun Irham Fadlika Kaki, Gregorius Paulus Mario Laka Mohamad Rodhi Faiz Nandang Mufti Nibrosoma, Ahmad Dhaffa Omar, Saodah Purwatiningsih, Ayu Rahmadhani, Nur Aini Syafrina Siti Sendari Sujito Sujito Susilo, Suhiro Wongso Syabani, Muhiban Yuni Rahmawati