Utilization of Adaptive Neuro Fuzzy Inference System (ANFIS) for Prediction of Sacha Inchi Seed Weight Based on Fruit Morphology and Fertilizer Treatment

• Published in: Asian Journal of Plant Sciences
• Main Author: Andayani S.A.; Wijaya A.A.; Prasetyo T.F.; Sukmasari M.D.; Gandaseca S.; Nainggolan M.F.; Sumekar Y.
• Format: Article
• Language: English
• Published: Asian Network for Scientific Information 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196274980&doi=10.3923%2fajps.2024.261.271&partnerID=40&md5=797ccfb5c2e07383b69fc94c36e91872

Background and Objective: The sacha inchi plant has seeds that are useful for various human needs from the health sector, food industry and cosmetics so that this plant has economic potential to be developed. This requires a study in increasing the weight of sacha inchi seeds as a basis for consideration for processing and sales. One of the supporters of the prediction of reference to increase the weight of the seeds of this plant through fertilization with organic materials. The purpose of the research was to predict efficient and effective fertilization treatment. Materials and Methods: The analysis of various fertilizer treatments from organic materials of chicken manure, goat, cow and sacha inchi waste on the weight of the seeds of this plant through fruit morphology so that an optimal model of the fertilizer treatment was formed. This fertilization activity is carried out by utilizing Internet of Things (IoT) technology automatically. The Adaptive Neuro-Fuzzy Inference System (ANFIS) method is the optimal fertilizer treatment model prediction method used in data analysis. Results: The analysis results of the research show that the application of organic fertilizer treatment from sacha inchi plant waste material shows optimal results on the weight of sacha inchi seeds seen from the length, width and thickness of the fruit with excellent prediction accuracy of 99.7%. Conclusion: The implications of the research results in management can develop the sustainability of product processing and sales by producing optimal seed weight and practically will increase the optimization and efficiency of production. © 2024 Sri Ayu Andayani et al.