AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber

Autor:	Reza Rahutomo, Tjeng Wawan Cenggoro, Don Bosco Surya Atmaja, Harsawardana, Bens Pardamean, Teddy Suparyanto, Bharuno Mahesworo, Arif Budiarto, Bayu Samoedro
Rok vydání:	2020
Předmět:	Computer science Palm oil Agricultural engineering Ripeness Grading (education)
Zdroj:	IOP Conference Series: Earth and Environmental Science. 426:012147
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/426/1/012147
Popis:	Indonesia is one of the biggest palm oil exporters in the world. For Indonesia to stay competitive in thepalm oil industry, the harvesting and evacuating process in its oil palm plantation need to be optimized. This research introduces machinerycalled as Smart Crane Grabber. This machinery can be used for automatic harvesting and evacuation process of oil palm fresh fruit bunch. To enable automation, Smart Crane Grabber is equipped with an Artificial Intelligencesystem for automatic ripeness sorting. TheArtificial Intelligence system developed for Smart Crane Grabber achieves 71.34% accuracy by using only 400 images as preliminary training data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0a071054a1b0fd5a275ad7eaa6f70e51 https://doi.org/10.1088/1755-1315/426/1/012147 Zobrazit plný text záznamu