PREDIKSI PRODUKTIVITAS JAGUNG MELALUI DATA TEMPERATUR DAN CURAH HUJAN RATA-RATA MENGGUNAKAN JARINGAN SARAF TIRUAN
I GEDE INDRA WIDYANA, Anifuddin Azis, S.Si., M.Kom
2020 | Skripsi | S1 ILMU KOMPUTERAgriculture is a field with many uncertainties. One of the source of those uncertainties are temperature and precipitation which could vary across season and year. Previous research by Matsumura et al. (2015) have attempted to build a model that could predict yield through precipitation. This research attempts to build a model that could predict maize yield before harvesting month with Adam and SGD as optimizers. The implementation made use of precipitation and temperature data to produce a forecasted yield of the harvest. The best model produced RMSE error of 2.100530353.
Agriculture is a field with many uncertainties. One of the source of those uncertainties are temperature and precipitation which could vary across season and year. Previous research by Matsumura et al. (2015) have attempted to build a model that could predict yield through precipitation. This research attempts to build a model that could predict maize yield before harvesting month with Adam and SGD as optimizers. The implementation made use of precipitation and temperature data to produce a forecasted yield of the harvest. The best model produced RMSE error of 2.100530353.
Kata Kunci : Adam, SGD, Agriculture, Maize, Forecasting
