Quadratic Regression and Factorial Analysis on the Effect of Climatic Elements on Global Food Production and Land Nutrients in Africa

Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 1

Abstract

The United Nation has its number one Sustainable Development Goal (SDG #1) of No Poverty Global World which is, Agriculture and Food Security. The question to be asked is how do we make production of food like maize, rice, and wheat (the three – world stable food) available in abundant, in the face of excessive temperature, limited or excessive rainfall, and low or sometimes high humidity? World maize, rice, and wheat production must increase by approximately 1% annually to meet the growing demand for food that will result from population growth and economic development. Global mean surface air temperature increased by ≈0.5°C in the 20th century and is projected to further increase by 1.5°C to 4.5°C this century. The seasonal and spatial variation of temperature, rainfall and humidity have been an important climatic factor determining the cropping pattern, regulates the agricultural activities and quality of food production all over the world. This research work examines the effect of these climatic elements on Food Production in Africa: establishes standard Temperature level, amount of Rainfall and relative Humidity required for the optimal yields of Maize, Rice and Wheat; Predicts the optimal yields of these global crops; Investigates degree of loss to food productions in Africa. A 3 by 3 factorial experiment was used for data analysis, further test was carried out using Duncan Multiple Range Test to detect the most significance of the various levels of climatic elements used. Multiple regression analysis was adopted to obtain the normal levels for the three main factors. Thus, the derived Quadratic regression model: Yi=µ+αTi+βHi+ẟRi+λT2i+πH2i+τR2i+ξi was used to predict yields of these crops. The result of the various data analysis shows that all the three climatic elements contributed significantly to the yields of the three crops. In some region of Africa, Temperature, Rainfall and Humidity exceed normal while in some region the three climatic elements were below normal which affected the yields of the crops. Thus, there is reduction in the food production in Africa between 2015 and 2016: Maize 9.489%, Rice 11.482%, Wheat 14.827%.

Authors and Affiliations

Osuolale Peter POPOOLA, Omotola Omotayo DAWODU, Olufemi Olusola YUSUF

Keywords

Related Articles

Network Traffic and Utilization: Reliability of Network Analyzer Development with Independent Data, OPNET Simulation Tool and Real Network

This paper presents a complete network analyzer development for heterogeneous services in campus environment. The purpose of this study is to define the accuracy of network analyzer development with independent data, rea...

E-learning and use of computer in forensic field

In the Romanian penitentiary establishments and those of other European countries one talks about the formal and informal education. Since the correspondence education system, important steps have been made towards the e...

Diagonalization Matrix Method of Solving the First Basic Problem of Hidden Markov Model in Speech Recognition System

This paper proposes a computationally efficient method of solving evaluation problem of Hidden Markov Model (HMM) with a given set of discrete observation symbols, number of states and probability distribution matrices....

An Efficient Fast Pruned Parallel Algorithm for finding Longest Common Subsequences in BioSequences

This paper presents an Efficient and fast approach to identify the Longest Common Subsequence between Biosequences. Identifying Longest Common Subsequence between two or more biosequences is an important problem in compu...

Performance Evaluation of PSO, PSOCA and MPSOCA for Solving University Timetabling Problem

In this paper, performance evaluation of Particle Swarm Optimization algorithm (PSO), Particle Swarm Optimization based Cultural Algorithm (PSOCA) and Modified Particle Swarm Optimization based Cultural Algorithm (MPSOCA...

Download PDF file
  • EP ID EP521511
  • DOI -
  • Views 58
  • Downloads 0

How To Cite

Osuolale Peter POPOOLA, Omotola Omotayo DAWODU, Olufemi Olusola YUSUF (2018). Quadratic Regression and Factorial Analysis on the Effect of Climatic Elements on Global Food Production and Land Nutrients in Africa. Annals. Computer Science Series, 16(1), 60-65. https://europub.co.uk/articles/-A-521511