Enabling Precision Agriculture through a Web-Based Fertilization Management System for Nawungan Selopamioro Fruit Orchards
Authors
Andri Prima Nugroho , Fauzan Edy Wijaya , Ngadisih Ngadisih , Rudiati Evi Masithoh , Lilik SutiarsoDOI:
10.29303/jrpb.v12i2.627Published:
2024-09-29Issue:
Vol. 12 No. 2 (2024): Jurnal Ilmiah Rekayasa Pertanian dan BiosistemKeywords:
decision support system, fertilizer management, precision agriculture, smart agriculture, smart farmingArticles
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Abstract
Precision Agriculture (PA) is an integrated farming system based on information and technology for managing agriculture to identify, analyze, and manage spatial and temporal diversity information in specific locations to obtain optimum and sustainable benefits while minimizing unwanted environmental impacts. Fertilization is one of the crucial phases in agricultural production process considering technical cultivation aspects, costs, and environmental impacts. The current fertilization process at Kebun Buah Nawungan Selopamioro (KBNS) is still conventional, so there is no standard rule in determining the fertilization dose. Therefore, a PA approach is needed to provide suitable fertilizer doses for agricultural production needs. This objective of this study was to develop of a web-based fertilizer management system, integrating with orchard management to enhance accessibility and decision-making. The system calculates fertilizer requirements by analyzing soil nutrient availability (N, P, K), cultivation area, crop type and age, and available fertilizer types. The development followed the waterfall methodology, encompassing stages from requirement analysis to system maintenance. The outcome is a web application that manages land assets, administrative activities, and fertilizer needs tailored to specific land blocks, crop characteristics, and nutrient inventories. Subsequent validation against field conditions ensures the accuracy of its recommendations. Although comprehensive testing confirmed a 100% success rate in functionality, the system currently operates within a limited scope of variables. Future enhancements are planned to incorporate broader agronomic factors, such as soil pH and texture, to augment the system's precision. Despite its limitations, this system represents a significant technological advance in precision agriculture, promising to improve fertilizer application efficiency and support sustainable farming practices.
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Author Biography
Andri Prima Nugroho, Smart Agriculture Research Center, Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Dr. Andri Prima Nugroho is a lecturer and researcher in the field of Agricultural Informatics. Currently, they are involved in developing research on precision agriculture in the Smart Agriculture Research Group, Head of Farm Structure and Environmental Engineering Laboratory, Department of Agricultural Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada.
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Copyright (c) 2024 Andri Prima Nugroho, Fauzan Edy Wijaya, Ngadisih Ngadisih, Rudiati Evi Masithoh, Lilik Sutiarso
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