ETAPOD: A forecast model for prediction of black pod disease outbreak in Nigeria

Food poisoning and environmental pollution are products of excessive chemical usage in Agriculture. In Nigeria, cocoa farmers apply fungicides frequently to control black pod disease (BPD), this practice is life threatening and lethal to the environment. The development of a warning system to detect...

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Published in:PloS one 2020-01, Vol.15 (1), p.e0209306-e0209306
Main Authors: Etaware, Peter M, Adedeji, Abiodun R, Osowole, Oyedeji I, Odebode, Adegboyega C
Format: Article
Language:English
Subjects:
Agriculture
Agrochemicals
Biology and Life Sciences
Black pod
Cacao - growth & development
Cacao - microbiology
Chemical pollution
Cocoa
Decision Making
Disease control
Earth Sciences
Efficiency
Environmental pollution
Epidemics
Epidemiology
Farmers
Food contamination
Food poisoning
Fungicides
Fungicides, Industrial - adverse effects
Humans
Humidity
Mathematical models
Medicine and Health Sciences
Nigeria - epidemiology
Optimization
Organic chemistry
Outbreaks
People and Places
Performance rating
Physical Sciences
Plant diseases
Plant Diseases - microbiology
Plant Diseases - prevention & control
Research and Analysis Methods
Warning systems
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description Food poisoning and environmental pollution are products of excessive chemical usage in Agriculture. In Nigeria, cocoa farmers apply fungicides frequently to control black pod disease (BPD), this practice is life threatening and lethal to the environment. The development of a warning system to detect BPD outbreak can help minimize excessive usage of fungicide by farmers. 8 models (MRM1-MRM8) were developed and 5 (MRM1-MRM5) selected for optimization and performance check. MRM5 (ETAPOD) performed better than the other forecast models. ETAPOD had 100% performance rating for BPD prediction in Ekiti (2009, 2010, 2011 and 2015) with model efficiency of 95-100%. The performance of the model was rated 80% in 2010 and 2015 (Ondo) with model efficiency of 85-90%, 70% in 2011 (Osun) with model efficiency of 81-84%, 60% in 2010 (Ondo and Osun) and 2015 (Osun) with model efficiency of 75-80%, 40% in 2009 (Osun) with model efficiency of 65-69% and 0% 1n 2011 (Ondo) with model efficiency between 0 and 49%. ETAPOD is a simplified BPD detection device for the past, present and future.
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In Nigeria, cocoa farmers apply fungicides frequently to control black pod disease (BPD), this practice is life threatening and lethal to the environment. The development of a warning system to detect BPD outbreak can help minimize excessive usage of fungicide by farmers. 8 models (MRM1-MRM8) were developed and 5 (MRM1-MRM5) selected for optimization and performance check. MRM5 (ETAPOD) performed better than the other forecast models. ETAPOD had 100% performance rating for BPD prediction in Ekiti (2009, 2010, 2011 and 2015) with model efficiency of 95-100%. The performance of the model was rated 80% in 2010 and 2015 (Ondo) with model efficiency of 85-90%, 70% in 2011 (Osun) with model efficiency of 81-84%, 60% in 2010 (Ondo and Osun) and 2015 (Osun) with model efficiency of 75-80%, 40% in 2009 (Osun) with model efficiency of 65-69% and 0% 1n 2011 (Ondo) with model efficiency between 0 and 49%. 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subjects Agriculture
Agrochemicals
Biology and Life Sciences
Black pod
Cacao - growth & development
Cacao - microbiology
Chemical pollution
Cocoa
Decision Making
Disease control
Earth Sciences
Efficiency
Environmental pollution
Epidemics
Epidemiology
Farmers
Food contamination
Food poisoning
Fungicides
Fungicides, Industrial - adverse effects
Humans
Humidity
Mathematical models
Medicine and Health Sciences
Nigeria - epidemiology
Optimization
Organic chemistry
Outbreaks
People and Places
Performance rating
Physical Sciences
Plant diseases
Plant Diseases - microbiology
Plant Diseases - prevention & control
Research and Analysis Methods
Warning systems
title ETAPOD: A forecast model for prediction of black pod disease outbreak in Nigeria
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