The cassava transformation: Africa's best-kept secret

doi:10.5860/choice.39-6428

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…The implication is that constraints faced by respondents play a significant role in influencing the attitude of farmers towards the e-wallet platform of the GESS. This agrees with the findings of Nweke et al, (2002) and Teklewold et al, (2006) that there are constraints to adoption of agricultural innovations in rural farming communities. In some instances, farmers reject some of the development programmes due to cultural background and inhibitions due to past bureaucracy faced and elite capture of previous schemes.…”

Section: Test Of Hypothesessupporting

confidence: 92%

Attitude of crop farmers towards e-wallet platform of the Growth Enhancement Support Scheme for input delivery in Oke-Ogun area of Oyo state

Fadairo¹,

Olutegbe²,

Tijani³

2015

JAI

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A B S T R A C T E-wallet-powered Growth Enhancement Support Scheme was designed by the Nigerian Government to facilitate and improve farmers' prompt access to agricultural information and input services. An assessment of the pilot phase of the scheme becomes necessary for an effective implementation. The study therefore assessed the attitude of crop farmers towards the e-wallet platform of the Growth Enhancement Support Scheme. A total of 120 crop farmers across the study area were sampled through a simple random sampling method. Data were collected through a well-structured interview schedule, and analysed using percentages, PPMC and Chi-square. Farmers' mean age was 47 years. Majority were males, married and have an average of 15 years farming experience. Maize and cassava were the most grown crops. Majority indicated non commitment of the ADP and long distance to redemption centre as major constraints to use of e-wallet. More than half had favourable attitude towards the e-wallet platform of the Scheme. There is significant relationship between the years of farming and educational level with farmers' attitude towards the e-wallet. Constraints faced also had negative influence on attitude to the scheme. Establishment of more redemption centres to stop the rigor of long queues and reduce long distance covered before accessing the centres will make prompt access to information targeted by e-wallet achieve desired end.

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Section: Test Of Hypothesessupporting

confidence: 92%

Attitude of crop farmers towards e-wallet platform of the Growth Enhancement Support Scheme for input delivery in Oke-Ogun area of Oyo state

Fadairo¹,

Olutegbe²,

Tijani³

2015

JAI

View full text Add to dashboard Cite

show abstract

“…This result compliment report on profitability of gari in Ghana which confirmed that gari production business is a profitable and viable enterprise which can drive high income generation based on a benefit cost ratio of 1.33 and profitability ratio of 0.33 (Ijigbade et al, 2014). Nweke et al (2002) further stated that farmers who planted improved varieties (TMS varieties) in Nigeria produced yield which were 40% higher than that of local varieties even when grown without fertilizer. Report from IITA also indicates that improved varieties have contributed an extra 1.4 million tons of gari per year than would have been available from local varieties.…”

Section: Discussionsupporting

confidence: 58%

Effect of Cassava Mosaic Disease (CMD) on Yield and Profitability of Cassava and Gari Production Enterprises in Sierra Leone

Samura¹,

Lakoh²,

Nabay³

et al. 2017

JAS

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Cassava Mosaic Disease (CMD) seriously affects cassava (Samura et al., 2013; Fargette et al., 1988). There is limited information on tuberous root yield loss and the profitability of growing improved and local varieties infected with the cassava mosaic virus for tuber and gari production in Sierra Leone. The objectives of the study were to determine yield loss associated with cassava mosaic disease and conduct cost benefit analysis (budgets and break-even analysis) on cassava production using two improved varieties (SLICASS 4 and 6) compared against the local susceptible variety Cocoa, for gari production and Cocoa as a poundable enterprises for the boil and eat market. Activity 1 involved the establishment of a yield loss trial using the paired plot technique. Activity 2 assessed productivity of cassava and gari production. Data collected were analysed using the analytical frame work that incorporates the concept of gross margin analysis as describe by Brown (1979). This included cost benefit analysis (CBA), the net social benefit (NSB) or the excess of total benefit over total cost represents the net present value (NPV) and The Internal Rate of Returns (IRR).The yield loss associated with the local variety Cocoa under this system was 4.27 t/ha which is equivalent to 38.92% yield loss resulting from the cassava mosaic disease infection. SLICASS 4 and SLICASS 6 recorded positive returns to production of tubers and gari. The local variety Cocoa enterprises for gari under the same condition recorded a negative returns even in the 6 year. However Cocoa for the boil and eat market had the highest profit level. The implication of this study is that breeding effort should be geared towards high yielding mosaic resistant varieties that are poundable more profitable and suits the cultural and domestic demand of the producers, processors and consumers.

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Automatic identification of cassava leaf diseases utilizing morphological hidden patterns and multi-feature textures with a distributed structure-based classification approach

et al. 2022

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The cassava transformation: Africa's best-kept secret

Cited by 4 publications

References 19 publications

Attitude of crop farmers towards e-wallet platform of the Growth Enhancement Support Scheme for input delivery in Oke-Ogun area of Oyo state

Attitude of crop farmers towards e-wallet platform of the Growth Enhancement Support Scheme for input delivery in Oke-Ogun area of Oyo state

Effect of Cassava Mosaic Disease (CMD) on Yield and Profitability of Cassava and Gari Production Enterprises in Sierra Leone

Automatic identification of cassava leaf diseases utilizing morphological hidden patterns and multi-feature textures with a distributed structure-based classification approach

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