combined PLSR and linear programming to analyze the relationship between comprehensive meteorological factors and ‘Fuji’ fruit quality ( Zhang et al., 2018 ) and confirmed that this analysis method is feasible. The quantitative relationship of
Qiang Zhang, Minji Li, Beibei Zhou, Junke Zhang, and Qinping Wei
Silvia Bures and Franklin A. Pokorny
An equation for predicting shrinkage in 3-component (ternary) container media was devised. The predictive equation was tested using experimental data obtained from sets of mixtures of milled pine bark, sand, and calcined clay. Each set consisted of 66 different combinations of the experimental components. Actual shrinkage data was correlated with theoretical values calculated from the predictive model. Results of the experiment suggest that shrinkage can be used as a factor with linear programing techniques.
Paul N. Walker, Joan P. Harris, and Loren D. Gautz
Four engineering studies on optimization of sugarcane micropropagation are summarized. The optimum environmental conditions based on the cost of production were found to be with two medium changes per multiplication period, 6 initial shoots per vessel and a photosynthetic photon flux of 200 μmol/m2s even though greater production was obtained for more light, fewer shoots per vessel and more medium changes. A cost model for comparing production treatments under steady state production and a linear programming model for unsteady state production are discussed. Preliminary results on mechanization of the transfer process are also presented.
S. B. Sterrett, D. B. Taylor, C. W. Coale Jr., and J. W. Mapp Jr.
An interdisciplinary approach had been developed to examine the production, economic, and marketing feasibility of new crops. The methodology requires the determination of yield potential and product quality, construction of production budgets, and completion of marketing window analyses. Potential for integration of new crops into the existing farm enterprise is assessed using linear programing techniques that consider labor and equipment constraints, crop rotations and best management practices. Risk analyses consider yield, production costs, and price of both new and traditional crops. By using this method, broccoli has been identified as a potential new crop for eastern Virginia, with labor requirements and slush ice availability being the major constraints to integration into vegetable production in this area.
Osman Kilic, Vedat Ceyhan, H. Avni Cinemre, Mehmet Bozoglu, and John Sumelius
normative supply function allows the formulation of improved models for predicting positive supply function. Variable price programming is the best known application for derivation of normative supply function. Because it requires only linear programming
Eugene K. Blythe and Donald J. Merhaut
substrate physical properties. Burés et al. (1988) used parametric linear programming as a tool in selecting substrate blends based on physical and chemical characteristics of individual substrate components; however, their method involved certain
Kurt B. Waldman, David S. Conner, John A. Biernbaum, Michael W. Hamm, and Adam D. Montri
challenging to model profitability on a revenue per-square foot basis (as is more common in floriculture/greenhouses) or to make comparisons with crop rotations on a per-acre basis over the course of 1 year (such as a linear programming approach as is more
Giuseppe Timpanaro, Arturo Urso, and Vera T. Foti
DEA technique was originally defined by Charnes et al. (1978) with the intention of developing Farrell’s measure of efficiency and making it operative in the field of linear programming. Starting from the research of Farrell (1957) , a conceptual
Xu Zhang, Na Ta, Wei-ye Tian, Li-jun Gao, and Wei Jiao
various environmental factors; then, the transfer function between soil temperature and major environmental factors was constructed by linear programming with the environmental factor of relational degree >0.6. Further, the multiple regression model of