Agricultural Model for Allocation of Crops Using Pollination Intelligence Method

An agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was constructed to solve farmer’s decision making in allocating crops to a piece of land using market price, known yield of crops, cost incurred during planting, and the total am...

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Main Authors: C. N. Ejieji, A. E. Akinsunmade
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/2020/4830359
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author C. N. Ejieji
A. E. Akinsunmade
author_facet C. N. Ejieji
A. E. Akinsunmade
author_sort C. N. Ejieji
collection DOAJ
description An agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was constructed to solve farmer’s decision making in allocating crops to a piece of land using market price, known yield of crops, cost incurred during planting, and the total amount of land available. A new class of metaheuristic method called Flower Pollinated Algorithm is also presented in this work to solve the designed model. An improved version of the Flower Pollinated Algorithm called Pollination Intelligence Algorithm using an iterative scheme to override the switch parameter in Flower Pollinated Algorithm is also presented and used in solving the designed model. A case study of a farmer in Ife, Osun State, Nigeria, was used to implement the model, and the results obtained suggested that instead of allocating crops to land randomly based on farmer’s intuition, cost of planting, yield of crops, and market price were factors that must be considered by farmers for optimal profit before planting crops.
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institution Kabale University
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spelling doaj-art-30c8c863d6aa491f86870f8c0be0fa332025-08-20T03:55:12ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322020-01-01202010.1155/2020/48303594830359Agricultural Model for Allocation of Crops Using Pollination Intelligence MethodC. N. Ejieji0A. E. Akinsunmade1Department of Mathematics, Faculty of Physical Sciences, University of Ilorin, Ilorin, NigeriaDepartment of Mathematics, Faculty of Physical Sciences, University of Ilorin, Ilorin, NigeriaAn agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was constructed to solve farmer’s decision making in allocating crops to a piece of land using market price, known yield of crops, cost incurred during planting, and the total amount of land available. A new class of metaheuristic method called Flower Pollinated Algorithm is also presented in this work to solve the designed model. An improved version of the Flower Pollinated Algorithm called Pollination Intelligence Algorithm using an iterative scheme to override the switch parameter in Flower Pollinated Algorithm is also presented and used in solving the designed model. A case study of a farmer in Ife, Osun State, Nigeria, was used to implement the model, and the results obtained suggested that instead of allocating crops to land randomly based on farmer’s intuition, cost of planting, yield of crops, and market price were factors that must be considered by farmers for optimal profit before planting crops.http://dx.doi.org/10.1155/2020/4830359
spellingShingle C. N. Ejieji
A. E. Akinsunmade
Agricultural Model for Allocation of Crops Using Pollination Intelligence Method
Applied Computational Intelligence and Soft Computing
title Agricultural Model for Allocation of Crops Using Pollination Intelligence Method
title_full Agricultural Model for Allocation of Crops Using Pollination Intelligence Method
title_fullStr Agricultural Model for Allocation of Crops Using Pollination Intelligence Method
title_full_unstemmed Agricultural Model for Allocation of Crops Using Pollination Intelligence Method
title_short Agricultural Model for Allocation of Crops Using Pollination Intelligence Method
title_sort agricultural model for allocation of crops using pollination intelligence method
url http://dx.doi.org/10.1155/2020/4830359
work_keys_str_mv AT cnejieji agriculturalmodelforallocationofcropsusingpollinationintelligencemethod
AT aeakinsunmade agriculturalmodelforallocationofcropsusingpollinationintelligencemethod