Agriculture is an important sector in human life, providing food to meet the needs of a growing population. However, the challenges in modern agriculture are becoming increasingly complex, such as climate change, plant diseases, and optimizing resource usage. To address these challenges, the utilization of technology is key to achieving efficient and sustainable agriculture. One technology that is rapidly developing and promising is Machine Learning. Machine Learning is a branch of artificial intelligence that enables machines to learn from data and make decisions or predictions automatically without explicit programming. In the context of agriculture, Machine Learning can be an exceptional precision tool for improving production efficiency, diagnosing plant diseases, optimizing fertilizer usage, and managing resources sustainably. Present in this event is Dr. Mohammad Iqbal as the speaker in this focus group discussion. This FGD is related to a workshop previously conducted by Iqbal. The only difference is that, on this occasion, Iqbal is appearing directly in front of the audience. This FGD was held on Monday (June 19) and attended by undergraduate and graduate students from the Mathematics programs in the Faculty of Mathematics and Natural Sciences (FMIPA) and the Faculty of Education (FKIP). In his speech, Prof. Drs. Dafik, M.Sc., Ph.D. expressed his hope that this FGD would not only foster camaraderie between the two universities but also result in research collaborations in the form of articles that can be published in Scopus.