Agricultural Model for Allocation of Crops Using Pollination Intelligence Method

Abstract

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.

An Integrated Risk Sensitive Crop Allocation Model with Pollination Intelligence Algorithm

“…2015;Mellaku et al, 2018). Metaheuristic approach based on algorithm development has also been employed to help farmers decision making process, (Angelo, 2013;Ashutosh andPrakash, 2018, Ejieji andAkinsunmade, 2020). Economic benefit approach has been extensively integrated with climatic factors and soil factors using geographic information system to mark out soil suitability to strengthen acreage decisions of agricultural lands.…”

Land Suitability and Crop Pattern Model using Integrated Pollination Intelligence Algorithm and Remote Sensing

“…A qualitative analysis of land suitability evaluation must capture information about soil properties, vegetation, topography, hydrology and climate. Some framework on land suitability classification have been suggested in literature but the land suitability classes framework used by Sys et al [16], has been the most employed.…”