




Crop failures among chili farmers are often caused by viruses that infect plants during their growth. The yellow virus, or Pepper Yellow Leaf Curl Indonesian Virus (PYLCIV), is one of the viruses that infects chili plants and causes distinctive symptoms, including yellowing leaves. Treatment is often carried out too late because symptoms may only become apparent when chili plants are approaching harvest.
In response to this issue, five UGM students participating in Team SPECTRA under the Student Creativity Program for Exact Sciences Research (PKM-RE) have developed an early detection innovation for chili plants as an initial step to determine disease status using a multispectral sensor and machine learning analysis. The research was initiated by five students from different disciplines, namely Hasan Rabbani from the Undergraduate Physics Program as the team leader, along with four members: Nur Johan Pratama and Priamitra Aditiya Satriamukti from the Undergraduate Plant Protection Program, and Saktian Hutama and Zaskia Fakhira Priatna from the Undergraduate Biology Program. The research is conducted under the supervision of Prof. Dr. Eng. Kuwat Triyana, M.Si., a lecturer and Dean of the Faculty of Mathematics and Natural Sciences (FMIPA) UGM.







