ISBN: 9786139575763 - linear programming model for crop production planning (8 risultati)

Taschenbuch. Condizione: Neu. Linear Programming Model for Crop Production Planning | Neela Patel | Taschenbuch | 124 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139575763 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. …

Condizione: New.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Linear programming technique is relevant in optimization of resource allocation and achieving efficiency in production planning particularly in achieving increased agricultural productivity.The information given in this book is based on the study aimed at planning of crop production pattern for the small and marginal farm holders of Patan district of Gujarat state of India so as to fulfill the minimum food and economical requirements either by maximizing production or enhancing profitability using linear programming model. A crop production planning scheme was formulated as a linear programming problem and solved for major crops using LINDO software. Among the different methods, weavers method of minimum deviation was used to get the best crop combinations. The study concluded that combination of crop appropriately as suggested in the study contributed in improving the gross returns to the farmers of Patan district of Gujarat State. 124 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patel NeelaDr. Neela Patel is specialized in pure mathematics. She has been working with Shri U.P.Arts, Smt. M.G. Panchal Science & Shri V.L.Shah Commerce College, Pilvai, Gujarat since 1995. She has been associated with teaching mat. …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Linear programming technique is relevant in optimization of resource allocation and achieving efficiency in production planning particularly in achieving increased agricultural productivity.The information given in this book is based on the study aimed at planning of crop production pattern for the small and marginal farm holders of Patan district of Gujarat state of India so as to fulfill the minimum food and economical requirements either by maximizing production or enhancing profitability using linear programming model. A crop production planning scheme was formulated as a linear programming problem and solved for major crops using LINDO software. Among the different methods, weavers method of minimum deviation was used to get the best crop combinations. The study concluded that combination of crop appropriately as suggested in the study contributed in improving the gross returns to the farmers of Patan district of Gujarat State.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Linear programming technique is relevant in optimization of resource allocation and achieving efficiency in production planning particularly in achieving increased agricultural productivity.The information given in this book is based on the study aimed at planning of crop production pattern for the small and marginal farm holders of Patan district of Gujarat state of India so as to fulfill the minimum food and economical requirements either by maximizing production or enhancing profitability using linear programming model. A crop production planning scheme was formulated as a linear programming problem and solved for major crops using LINDO software. Among the different methods, weavers method of minimum deviation was used to get the best crop combinations. The study concluded that combination of crop appropriately as suggested in the study contributed in improving the gross returns to the farmers of Patan district of Gujarat State.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.