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Abstract
A mathematical model for crop pattern coupled with economic and environmental factors of agricultural production constructed with remote sensing and metaheuristic based algorithm is considered in this work. The model is expected to serve as a support system for farm managers' decision making process. Geographic data showing soil properties of major cities in Benue State, Nigeria using remote sensing, was integrated to the model to obtain analyzed suitability information for selected crops. A class of modern optimization algorithms was thereafter used to find optimum cropland pattern. A net production value of $1,592,107,000.00$ was obtained by using the model compared to an initial production value of $1,364,460,000.00$ recorded in the study area. The study suggests that soil properties must be considered along side with economic factors before choosing the types of crop to be planted on a piece of land. This study has shown the efficacy of optimization tools which should be dully employed by farmers in decision making process. The data used to support the findings of this study are included within the article.
Highlights
Management of agricultural systems has gone beyond the use of intuition process, intuition process cannot be completely swept off in agricultural management, as there are known traditional methods culled from intuition making process which turned to be useful tips in agricultural practices
The world is changing with technological advancements that proved to be useful in all facets of life
Farm managers must be equipped with useful information that will guide their decision making process
Summary
Management of agricultural systems has gone beyond the use of intuition process, intuition process cannot be completely swept off in agricultural management, as there are known traditional methods culled from intuition making process which turned to be useful tips in agricultural practices. A number of mathematical methods and models have been developed as support tools in agricultural management and decision making process, while the use of linear programming approach, Raj [7], Cambel et al [8], Wankhade and Lunge [9] for optimal crop planning is the most employed. Metaheuristic approach based on algorithm development has been employed to help farmers’ decision making process, Agelo [12], Ashutosh et al [13], Ejieji and Akinsunmade [14] Most of these works addressed agriculture management system from economic point of view by considering market price of crops, demand of crops and other farm inputs. A crop model with land suitability analysis obtained from Geographic Information System (GIS) with remote sensing is developed and used as a tool to aid farm managers decision making process. A new modified class of metaheuristic algorithm, Pollination Intelligence Algorithm (PIA), Ejieji and Akinsunmade [14], was adopted with parameter modification to solve the new developed model
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