6533b859fe1ef96bd12b76c0

RESEARCH PRODUCT

A prediction model for field drying of hay using a heat balance method

Alain PerrierA.k. Oulid AissaAndrée Tuzet

subject

Atmospheric Science010504 meteorology & atmospheric sciencesField (physics)Soil science01 natural sciencesPastureWind speed[SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestryAGROMETEOROLOGIESensitivity (control systems)Leaf area indexWater contentComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerHydrologyGlobal and Planetary Changegeographygeography.geographical_feature_categoryHumidityForestry04 agricultural and veterinary sciences15. Life on land040103 agronomy & agricultureHay0401 agriculture forestry and fisheriesEnvironmental science[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture forestryAgronomy and Crop Science

description

Abstract A hay drying model with a multi-layer representation has been developed. This model, based on a heat balance method, was designed to compute hay drying dynamics in the field. It was implemented for hay spread over a field or in windrows. The necessary inputs are: (1) meteorological data (temperature, humidity, wind speed, solar and atmospheric radiation); (2) biological characteristics of the plant; (3) hay physical parameters (depth, leaf area index). The output provides time-dependent cumulative water losses and changes in water content and temperature in the different layers. The model was tested against data measured under experimental conditions with different kinds of grass (ryegrass, permanent pasture and alfalfa). It was shown that agreement between the simulated and measured parameters was fairly good. Further, the model was used to study the sensitivity of water loss to changes in input variables and plant characteristics.

https://doi.org/10.1016/0168-1923(93)90038-j