SMART FARMING DEVELOPMENT FOR RICE PLANT FERTILIZER PREDICTION USING GEOSTATISTICS UPN ^Veteran^ Yogyakarta Abstract Nine billion people will live on Earth in 2050. The global population impacted by prolonged food scarcity started to rise in 2014, rising from 775 million in 2015 to 777 million in 2016. It is currently projected that this number will reach 815 million in 2016. About 95% of people in Indonesia eat rice as a staple diet. As a result, policies pertaining to rice now affect the people, making it a strategic issue. Formerly well-known for its agricultural economy, Indonesia is among the emerging nations that is today having significant issues with rice production. Water, new, high-yielding rice varieties, and fertilizers are essential for bolstering national rice production efforts. Macro fertilizers, also known as NPK (Sodium, Phosphorus, and Potassium), have been shown to be useful in raising new, high-yielding kinds of rice, including hybrid rice. However, the effectiveness and efficiency of fertilization are very location-specific. Using their hands to apply NPK fertilizer unevenly and without knowing if specific places require a given dose of NPK, most Indonesian rice farmers still fertilize their rice using the old-fashioned method. Problems related to land area, fertilizer, superior seeds, human resource quality and quantity, and precision agriculture (PA) for agricultural advancement must be addressed strategically in order to solve rice production issues. Water, new, high-yielding rice varieties, and fertilizers are essential for bolstering national rice production efforts. Macro fertilizers, also known as NPK (Sodium, Phosphorus, and Potassium), have been shown to be useful in raising new, high-yielding kinds of rice, including hybrid rice. However, the effectiveness and efficiency of fertilization are very location-specific. The goals of this research are to improve smart agricultural tools, optimize and estimate the amount of fertilizer used (content N, P, and K), and develop a smart rice farm framework by estimating future availability and sustainability of rice fertilizer using geostatistics methods. Quantitative experiments are carried out in greenhouses, labs, and rice fields as part of the study process. The Geostatistics-Kriging method is employed for estimate and optimization. This research led to the creation of the PA Framework for rice plants as well as the development of precision agriculture tools for identifying and tracking the rates of rice growth and the amount of NPK fertilizer in the soil. Keywords: Fertilizer, Geostatistics, Kriging, NPK Topic: Engineering |
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