Precision agriculture is the monitoring of plant growth in a plant factory production to observe the behavior and predict the estimated yield of plant production. The plant growth is caused by external factors and nutrient availability. The estimation of plant growth considering the environmental conditions as well as initial plant height is necessary for plant management during the production cycle. So, this poster includes the aim, process, and result in plant growth prediction.
This video explains our research in the development of a plant growth prediction model based on Artificial Neural Network (ANN) conducted by Aulia Rizkiana, under the supervision of Dr. Andri Prima Nugroho, Dr. Rudiati Evi Masithoh, and Prof. Dr. Ir. Lilik Sutiarso, M.Eng. This research was conducted at Smart Agriculture Research, Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology Universitas Gadjah Mada.
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