Analisis Local (A,D)-Edge Antimagic Coloring Dan Skema Aplikasinya Pada Multi-Step Time Series Forecasting Kandungan Npk Tanah Pertanian Presisi Tumpangsari

Abstract

This research focuses on the analysis of local(a,d)-edge antimagic coloring and its application scheme in intercropping precision agriculture using the Spatial Temporal Graph Neural Networks (STGNN) technique. Local (a,d)-edge antimagic coloring is used to determine the number of plant species in intercropping precision agriculture. Intercropping precision agriculture aims to minimize crop failure due to several factors, one of which is the NPK content of the soil. To anticipate crop failure due to NPK content, soil is predicted using the STGNN technique. STGNN is a type of GNN developed to analyze data that has spatial and temporal components, which are arranged in the form of graphs. STGNN is proven to be able to assist farmers in optimizing soil NPK content in intercropping precision agriculture effectively. Keyword: local (a,d)-edge antimagic coloring, precision intercropping agriculture, STGNN