PENGARUH TINGKAT AKURASI DALAM IDENTIFIKASI GEJALA DAN TANDA PENYAKIT PADA TANAMAN

Yasmine Mufidah (Universitas Brawijaya)
Richard Noah (STMIK Profesional Makassar)
Leady Lawalatta (STIKOM ITB Ambon)
Nuzul Bragas (Politeknik Manufaktur Negeri Bangka Belitung)

Jurnal Informatika Progres
Vol 14 No 1 (2022): April

The development of technology in the industrial era 4.0 is now very advanced from year to year. Initially, only a small set of tools and simple machines in industries, then the development has become a modern orbit so that it can help to range from solving problems with human control to machines that can make their own decisions from the analysis they do. This called artificial intelligence. Specifically in the field of agriculture, artificial intelligence technology can be implemented to facilitate and even provide knowledge about technology for farmers and those working in agriculture. In this case, to see the effect of the level of accuracy in identifying symptoms and signs of disease in plants using the ResNet model architecture.