291 research outputs found

    PENDUGAAN FLUKS PANAS DAN EVAPOTRANSPIRASI DENGAN JARINGAN SYARAF TIRUANHEAT FLUX AND EVAPOTRANSPIRATION ESTIMATION USING ARTIFICIAL NEURAL NETWORK

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    Artificial neural network (ANN) approach was used to model energy dissipation process into sensible heat and latent heat (evapotranspiration) fluxes. The ANN model has 5 inputs which are leaf temperature Tl, air temperature Ta, net radiation Rn, wind speed uc and actual vapor pressure ea. Adjustment of ANN was conducted using back propagation technique, employing measurement data of input and output parameters of the ANN. The estimation results using the adjusted ANN shows its capability in resembling the heat dissipation process by giving outputs of sensible and latent heat fluxes closed to its respective measurement values as the measured input values are given.Β  The ANN structure presented in this paper suits for modeling similar process over vegetated surfaces, but the adjusted parameters are unique. Therefore observation data set for each different vegetation and adjustment of ANN are required

    BIOLOGICAL PROPERTIES OF RHOPALOSIPHUM PADI LINN. IN TWO HABITATS WITH DIFFERENT CLIMATE REGIMS

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    SOCIO - ECONOMIC IMPACT OF CLIMATE CHANGE

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    METODE PENENTUAN TINGKAT KERAWANAN KEKERINGAN : KASUS UNTUK DAERAH PERTANAMAN PADI SAWAH TADAH HUJAN DI JAWA BARATMETHOD FOR DETERMINATION OF DROUGHT SENSITIVITY LEVEL OF RAINED RICE : CASE OF WEST JAVA

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    METHANE CONVERSION RATE AND METHANE EMISSION FACTOR OF BUFFALO FED DIFFERENT LEVEL OF LOCAL YEAST CULTUR CONTAINING (Saccharomyces cereviciae)

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    PENGENALAN WAKTU TRADISIONAL PRANATA MANGSA MENURUT JABARAN METEOROLOGI DAN PEMANFAATANNYA

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    PENGARUH SEKAM, PUPUK KANDANG, DAN MULSA TERHADAP STATUS SUHU TANAH, PERTUMBUHAN DAN PRODUKSI JAHE

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    PENDUGAAN LENGAS TANAH DALAM TUMPANGSARI JAGUNG-KEDELAI DENGAN METODE THORNTHWAITE DAN MATHER YANG DIMODIFIKASI

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    THE EFFECT OF LIGHT ON GROWTH OF CASSAVA AND SORGHUM I LIGHT DISTRIBUTION AND EXTINCTION COEFFICIENT

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