Factors Affecting Adoption of Poultry Innovations by Rural Farmers in Otukpo Local Government Area of Benue State, Nigeria

Kughur, Kughur; PG, PG; Daudu, Daudu; Onu, Samson Ejike; OE, OE

doi:10.5455/ijlr.20141116060805

Cited by 10 publications

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“…This implies that the respondents had relatively few numbers of family members who serve as source of labour used in poultry production. This agrees with Kughur et al (2014) who pointed out that majority of the poultry farmers in Nigeria have household sizes ranging from 6-10 persons.…”

Section: Household Sizesupporting

confidence: 91%

“…In Nigeria, poultry accounts for about 30.28% of the total livestock production (Kughur et al, 2014). The types of poultry that are commonly reared in Nigeria are chicken, duck, guinea fowl, turkey, pigeon and ostriches.…”

Section: Introductionmentioning

confidence: 99%

“…Poultry production has long been recognized as one of the quickest ways for a rapid increase in protein supply in the shortest run. There has been a recorded improvement in poultry production sub-sector in Nigeria with its share of the Gross Domestic Product (GDP) increasing in absolute terms (Adedeji et al, 2013).In Nigeria, poultry accounts for about 30.28% of the total livestock production (Kughur et al, 2014). The types of poultry that are commonly reared in Nigeria are chicken, duck, guinea fowl, turkey, pigeon and ostriches.…”

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confidence: 99%

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Investigating Constraints to Poultry Management Practices among Smallholder Farmers in Benue State, Nigeria

Mbah

2018

International Journal of Sustainable Agricultural Research

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The study was carried out to assess poultry management practices among smallholder farmers in Benue state, Nigeria. Questionnaire was used to collect data from a sample of 80 respondents used for the study. Descriptive statistics such as frequency, percentage, mean score as well as inferential statistics which include factor analysis and logit regression were used for data analysis. Results revealed that 56.7% of the respondents were between the ages of 21 and 40 years, 47.5% had household size of 6-10 persons, 88.6% were literate having 1-10 years of farming experience (93.8%). Findings also show that 48% of the respondents practiced intensive system of poultry while 41.3% of them indicated that major reason for choice of poultry management system is because it is cheap/less expensive. Types of poultry management practices include proper sanitation (80%), cull sick birds (76.3%), brooding of chicks (73.8%) and use disinfectants (70%). Results further indicate constraints to poultry management which include technical, labour and input related factors. The study recommends that efforts are needed in promoting increase in poultry production through adequate pests and diseases control to enhance productivity. Contribution/Originality:This study documents that extensive and semi-intensive systems of poultry management were mostly practiced by the farmers in the area where the research was conducted. It also established that poultry management practices were highly constrained by technical, labour and input-related factors. INTRODUCTIONLivestock production is an important component of agricultural in developing countries, Nigeria inclusive which is an instrument of socio-economic change, improved income and quality of rural life (Okunmadewa, 1999).The increasing demand for animal food products and the trends in production and consumption strongly suggest that much of the demand for meat can be met through increased poultry production (Delgado et al., 2001).Poultry production occupies a prominent position in livestock keeping which accounts for 36.5% of total protein intake (Akpabio et al., 2014). Poultry production has long been recognized as one of the quickest ways for a rapid increase in protein supply in the shortest run. There has been a recorded improvement in poultry production sub-sector in Nigeria with its share of the Gross Domestic Product (GDP) increasing in absolute terms (Adedeji et al., 2013).In Nigeria, poultry accounts for about 30.28% of the total livestock production (Kughur et al., 2014). The types of poultry that are commonly reared in Nigeria are chicken, duck, guinea fowl, turkey, pigeon and ostriches.

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Section: Household Sizesupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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Investigating Constraints to Poultry Management Practices among Smallholder Farmers in Benue State, Nigeria

Mbah

2018

International Journal of Sustainable Agricultural Research

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“…This implies that input-related constraints were also predominant factors affecting poultry management practices in the study area. This is consistent with the findings of Kughur et al (2014)…”

Section: Constraints To Poultry Management Practices Among Smallholdesupporting

confidence: 93%

“…The findings agree with Mgbada (2006) who observed that sources of information on poultry management available to farmers include contact with extension agents, others farmers, friends and relatives. Kughur et al (2014) also noted that access to adequate information is very vital to increased agricultural productivity. Table 6 represents factors analysis of constraints to poultry management practices among smallholder farmers.…”

Section: Sources Of Information On Poultry Management Practicesmentioning

confidence: 99%

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2018

International Journal of Sustainable Agricultural Research

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Article HistoryKeywords Poultry Management Constraints Smallholder Farmers Nigeria.The study was carried out to assess poultry management practices among smallholder farmers in Benue state, Nigeria. Questionnaire was used to collect data from a sample of 80 respondents used for the study. Descriptive statistics such as frequency, percentage, mean score as well as inferential statistics which include factor analysis and logit regression were used for data analysis. Results revealed that 56.7% of the respondents were between the ages of 21 and 40 years, 47.5% had household size of 6-10 persons, 88.6% were literate having 1-10 years of farming experience (93.8%). Findings also show that 48% of the respondents practiced intensive system of poultry while 41.3% of them indicated that major reason for choice of poultry management system is because it is cheap/less expensive. Types of poultry management practices include proper sanitation (80%), cull sick birds (76.3%), brooding of chicks (73.8%) and use disinfectants (70%). Results further indicate constraints to poultry management which include technical, labour and input related factors. The study recommends that efforts are needed in promoting increase in poultry production through adequate pests and diseases control to enhance productivity.Contribution/Originality: This study documents that extensive and semi-intensive systems of poultry management were mostly practiced by the farmers in the area where the research was conducted. It also established that poultry management practices were highly constrained by technical, labour and input-related factors.

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A machine learning framework for the identification of crops and weeds based on shape curvature and texture properties

Agarwal

2023

Preprint

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Identification of weeds in a crop is a challenging problem for designing an automotive weed management system. Due to similar and indistinguishable properties between crop and weed, rather than single, various type of information is required for the successful discrimination of weeds against crops. This paper presents a machine learning-enabled weed classification system based on the fusion of handcrafted shape and texture features of a plant at the feature level. The shape features include several shape factors, region-based (Hu moment invariants), and contour-based descriptors (Fourier descriptors and shape curvature). Texture features include GLCM and LBP. A series of experiments are conducted to investigate the utility of shape curvature in the classification of weeds against crops. Furthermore, the potential of shape features including shape curvature and texture features has been examined by modeling the four classifiers, namely, SVM, KNN, MLP, and Naïve Bayes by using the 10-fold cross-validation approach. The classifiers are compared based on performance metrics- accuracy, error rate, recall, specificity, precision, and F1-score. Experimental results show that the SVM classifier achieved 93.67% overall accuracy with shape curvature features in the classification between crop and weed. In addition, the SVM classifier achieved 99.33% overall accuracy with the integration of shape with shape curvature and texture features.

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Factors Affecting Adoption of Poultry Innovations by Rural Farmers in Otukpo Local Government Area of Benue State, Nigeria

Cited by 10 publications

References 0 publications

Investigating Constraints to Poultry Management Practices among Smallholder Farmers in Benue State, Nigeria

Investigating Constraints to Poultry Management Practices among Smallholder Farmers in Benue State, Nigeria

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A machine learning framework for the identification of crops and weeds based on shape curvature and texture properties

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