Mathematical Models in Agriculture: A Quantitative Approach to Problems in Agriculture and Related SciencesButterworths, 1984 - 335 halaman Role of mathematical models in agriculture and agricultural research. Techniques: dynamic deterministic modelling. Techniques: mathematical programming. Testing and evaluation of models. Growth functions. Weather. Plant and crop processes. Crop responses and models. Plant diseases and pest. Animal processes. Animal products. Farm planning and control: I. Farm planning and control. |
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Role of mathematical models in agriculture and agricultural research | 1 |
dynamic deterministic modelling | 15 |
mathematical programming | 37 |
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Istilah dan frasa umum
a₁ Agricultural Systems amino acid applied approach assumed b₁ biological calculated canopy carbohydrates carbon Chapter coefficient components concentration concn constant constraint cost crop dairy day-¹ daylength decision variables defined degradable denotes described differential equation disease dry weight dW dt dynamic models dynamic programming empirical energy Euler's method example Exercise F-distribution fertilizer given gives grazing growth equation ha¹ ij reaction incomplete gamma function input intake integration interval k₁ k₂ kg dry matter kg mole lactation leaf area leaf area index linear programming liver maximum mechanistic metabolic microbial nitrogen non-negativity conditions nutrient objective function obtained omasum output P₁ parameters photosynthetic plant pool population predators predict problem processes protein quantity radiation rainfall regression respiration response root rumen simulation specific growth rate ẞ-hexose substrate Table temperature Thornley tissue units utilization values W₁ water-soluble carbohydrates x₁ Y₁