Markov model for bamboo harvest forecasting in South Nyanza region, Kenya
Date
2013-08
Journal Title
Journal ISSN
Volume Title
Publisher
Advanced Journals
Abstract
The Markov model applied to bamboo growth and harvest helps determine expected harvest, given survival probabilities at various stages of bamboo growth. The introduction of bamboo in South Nyanza region in Kenya as an alternative source of income met with pessimism due to the wait of at least three years before harvesting. To convince farmers to plant bamboo, they needed to know the expected quantity of harvest, its timing and consequently its associated income. Related findings show that bamboo is four times more profitable than tobacco and more than tenfold when processed into high quality bamboo products.
Description
item.page.type
Journal Article (peer-reviewed)
item.page.format
Keywords
BAMBOO, MARKOV CHAINS, AGROECOLOGY, MATHEMATICAL MODELS, FORECASTING TECHNIQUES, KENYA, SOUTH OF SAHARA, TOBACCO CONTROL, CROP DIVERSIFICATION
Citation
Arori, W.O., Kibwage, J.K., Netondo, G.W., & Onyango, F. (2013). A Markov Model for Bamboo Harvest Forecasting in South Nyanza Region, Kenya. Advanced Journal of Agricultural Research, 1(004): 045-050.