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Aplikasi Model Fisika Tanah untuk Prediksi Pergerakan Air dan Nutrisi pada Sistem Pertanian Modern Lase, Edwin Kaskar Jaya; Ndruru, Eka Julianti
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 2 (2024): PENARIK - Desember
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v1i2.61

Abstract

This research aims to develop a soil physics model to predict the movement of water and nutrients in modern agricultural systems. This model includes water flow modeling using the Richards equation as well as nutrient distribution using an advection-dispersion approach. Soil data was obtained through direct measurements in the field and laboratory tests, while the model was validated using field data to evaluate prediction accuracy. The research results show that soil texture and water capacity greatly influence water flow and nutrient distribution in the soil, with fairly high model accuracy values ​​(R² = 0.89 for water flow and MAE = 0.12 for nutrient distribution). The use of this model provides guidance in more efficient scheduling of irrigation and fertilizer applications, supporting sustainable resource management. These findings show that soil physics models can play an important role in precision agriculture to increase land productivity and maintain environmental sustainability
Optimasi Penggunaan Pupuk Dengan Model Matematika Gea, Chelsa Julian; Ndruru, Eka Julianti; Lase, Septiani; Laoli, Monica Endang Lestari
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 2 (2024): PENARIK - Desember
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v1i2.299

Abstract

Efficient use of fertilizers is crucial for increasing agricultural yields while maintaining environmental sustainability. This research aims to optimize fertilizer usage through a mathematical model that can describe the relationship between the amount of fertilizer used and the agricultural output achieved. The model employs optimization theory to determine the most effective fertilizer dosage based on various factors such as crop type, soil conditions, and climate. With this approach, it is expected that fertilizer use can be carried out efficiently, reducing waste and minimizing negative environmental impacts. The results of this model can provide recommendations for optimal fertilizer dosages for farmers to improve productivity while considering costs and minimal ecological impact