Mobile Robot Detects Pests And Diseases In Palm Oil Nurseries
Keywords:
Mobile Robot, Detects Pests And Diseases, Palm Oil Nurseries
Abstract
The palm oil industry is an important economic pillar in various countries, making a significant contribution to global vegetable oil production. Despite its vital role, oil palm growth is often faced with serious challenges such as pest and disease attacks that can threaten crop yields and plant health. Oil palm seeding, as the initial stage in the plant growth cycle, is key in ensuring optimal quality and productivity in the future. The successful application of mobile robot technology in detecting pests and diseases in oil palm nurseries will not only increase production efficiency, but also support the principles of sustainability and wise resource management.
References
Al Maududy, M. M. (2021). "Pemanfaatan Berbagai Sensor dalam Manajemen Perkebunan Kelapa Sawit.". Warta Pusat Penelitian Kelapa Sawit, 117-123.
Satia, G. A. (2022). Perancangan sistem identifikasi penyakit pada daun kelapa sawit (Elaeis guineensis Jacq.) dengan algoritma deep learning convolutional neural networks. Jurnal Ilmiah Pertanian, 1-10.
Satia, G. A. (2022). Perancangan sistem identifikasi penyakit pada daun kelapa sawit (Elaeis guineensis Jacq.) dengan algoritma deep learning convolutional neural networks. Jurnal Ilmiah Pertanian, 1-10.
Published
2024-04-25
How to Cite
Raden Aris Sugianto, Andi Prayogi, & Hasanal Fachri Satia Simbolon. (2024). Mobile Robot Detects Pests And Diseases In Palm Oil Nurseries. Journal of Technology Informatics and Engineering, 3(1), 38-43. https://doi.org/10.51903/jtie.v3i1.159
Section
Articles
