Open Access Original Research Article

Information Needs of the Female Farmers in Agricultural Activities

Saiful Huda, Md. Rayhan Kabir, Sumaiya Tabassum, Md. Rubayet Al Ferdous Sonet, Noor Muhammad

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-11
DOI: 10.9734/ajaees/2019/v30i230105

The purposes of this study was to determine the selected characteristics of the female farmers, to determine the information needs of the female farmers in practicing agriculture and to explore the relationship between information need and selected characteristics of the female farmers. Data were collected using interview schedule from a sample of 50 farmers out of 100 farmers of target group and 50 farmers out of 100 farmers of control group selected random sampling procedure from the beneficiaries of PROTIC project of Dimala upazila under Nilphamari district. Besides the usual descriptive statistical parameter, Pearson’s Product Moment Correlation Coefficient (r) was used for the statistical analysis. The information needs were determined on 20 selected agricultural activities related information. It was revealed that the highest information needs was observed on ‘pesticides name’ in target groups. Lowest information needs was observed on ‘pond preparation’. In case of control groups the highest information needs was observed on pesticides name’ while lowest information needs was observed on ‘water quality management’ among the selected information of practicing agricultural activities. In target groups majority of the respondents (74 percent) mentioned medium information needs while 14 percent low and 12 percent high information needs. Among the control groups 62 percent farmers opined medium information needs while 16 percent mentioned about low information needs and 22 percent showed high information needs for practicing agricultural activities. In response to target groups it was observed that extension media contact and agricultural knowledge, annual income and aspiration while in response to control group farmers’ agricultural knowledge and aspiration are positively and age was negatively correlated with information needs of female farmers in practicing agriculture.

Open Access Original Research Article

Time Series Analysis and Forecasting of Oilseeds Production in India: Using Autoregressive Integrated Moving Average and Group Method of Data Handling – Neural Network

Debasis Mithiya, Lakshmikanta Datta, Kumarjit Mandal

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-14
DOI: 10.9734/ajaees/2019/v30i230106

Oilseeds have been the backbone of India’s agricultural economy since long. Oilseed crops play the second most important role in Indian agricultural economy, next to food grains, in terms of area and production. Oilseeds production in India has increased with time, however, the increasing demand for edible oils necessitated the imports in large quantities, leading to a substantial drain of foreign exchange. The need for addressing this deficit motivated a systematic study of the oilseeds economy to formulate appropriate strategies to bridge the demand-supply gap. In this study, an effort is made to forecast oilseeds production by using Autoregressive Integrated Moving Average (ARIMA) model, which is the most widely used model for forecasting time series. One of the main drawbacks of this model is the presumption of linearity. The Group Method of Data Handling (GMDH) model has also been applied for forecasting the oilseeds production because it contains nonlinear patterns. Both ARIMA and GMDH are mathematical models well-known for time series forecasting. The results obtained by the GMDH are compared with the results of ARIMA model. The comparison of modeling results shows that the GMDH model perform better than the ARIMA model in terms of mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The experimental results of both models indicate that the GMDH model is a powerful tool to handle the time series data and it provides a promising technique in time series forecasting methods.

Open Access Original Research Article

Farmers' Willingness to Pay for Agricultural Extension Service, A Case Study of Nubaria's Farmers, Egypt

Mostafa M. Badr

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-13
DOI: 10.9734/ajaees/2019/v30i230107

Aims: This study aimed to depict the current Extension Services (ES) in the new lands as perceived by farmers, also, identify farmers' Willing to Pay (WTP) for the ES.

Study Design: A descriptive design was implemented.

Place and Duration of Study: This study was carried out in Albustan district, Nubaria region in North West of the Delta of Egypt from July to December 2018.

Methodology: A convenient sample of 147 respondents were selected of a proportion of 20 % in three villages. The sampling frame included all farmers regardless of their cropping pattern or farm size including beneficiaries and graduate youths. An interview questionnaire was developed to cover 1) socioeconomic characteristics, 2) current ES, 3) farmers WTP for ES and their terms. Frequency, percentage, average, and range utilized for description purposes, while logistic regression was applied to outline the significant covariates of farmers' WTP.

Results: Findings denote a high level of homogeneity regarding the socioeconomic characteristics, horticulture is the most common pattern (82%). The majority of the respondents (81%) noted that they haven't access to a convenient public ES, and near to half (45%) demanded paid ES. Theyindicated a high level of trust in public providers e.g. universities (67%) and public extension (58%), nonetheless, they noted input suppliers (73%) and agriculture experts (66%) as the most frequent seeking providers. Respondents terms for paid ES was focused on four topics i.e. pricing policy, quality, accountability, and other services to be included with ES. With a preference for providing both knowledge and inputs (40%), fixed price (58%) in cash (56%). Logistic regression showed exposure to the extension activities is significantly associated with farmers' WTP, while late payment for inputs at the end of the season is significantly negative.

Conclusion: Farmers' WTP may contribute to outsourcing and improving ES.

Open Access Original Research Article

Enhancing Sustainable Stingless Beekeeping Production through Technology Transfer and Human Resource Development in Relationship with Extension Agents Work Performance among Malaysian Beekeepers

Ibrahim Aliyu Isah, Oluwatoyin Olagunju, Mohd Mansor Ismail, Salim Hassan, Norsida Man

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-12
DOI: 10.9734/ajaees/2019/v30i230108

Stingless beekeeping is not only a profitable activity to Malaysian beekeepers but also to Malaysian economy. However, natural honey has faced some difficulties which resulted to low production due to lack of information on improved technology as well as capacity and potential building of stingless beekeeping farmers which depend mostly on information received from the extension agents. Hence, it is the responsibility of the extension agents to give useful information on the available technology and develop the capacity of the farmers to take right decision that will improve their level of production. This study assessed how technology transfer and human resource development skills influences work performance of the extension agents towards sustainable beekeeping production among beekeepers. The study sought to establish the role of relevant technology transfer and human resource development skills in effective performance. The research design was descriptive and quantitative survey of stingless beekeepers on technology transfer and human resource development by the extension agent. Data was obtained from 54 beekeeping farmers and was analyzed using descriptive and inferential statistics. The results revealed that technology skill, technology dissemination skill, technology evaluation skill, Decision making process skill, Leadership development skill and work performance were rated moderate by stingless beekeeping farmers while Social skill was rated high. Significant and positive correlation (P<0.01) existed between all variables and performance. Regression results showed that leadership development skill, Decision making process skill, and social skill are significant (P = .05), while technology skill, technology dissemination skill, technology evaluation skill are not significant. The highest contributing factor is social skill (β=.446). Beekeeping is a profitable project in Malaysia and can be sustained if the extension services and programmes are well carried out by competent extension agents and relevant agricultural government agency.

Open Access Original Research Article

Economics of Milk Production and Yield Differentials among the Marginal Women Farmers of Jharkhand State in India

Aniketa Horo, B. S. Chandel

Asian Journal of Agricultural Extension, Economics & Sociology, Page 1-11
DOI: 10.9734/ajaees/2019/v30i230109

Aim: To determine the economics of milk production and yield gaps of crossbred cow, buffalo and indigenous cow in Jharkhand State of India.

Study Design: The study was designed to cater the scope of production economics in reality by suggesting ways to bridge the yield gaps.

Place and Duration of Study: The present study was conducted using 130 beneficiary farmers in Hazaribagh and Khunti districts of Jharkhand during the 2016-17 agricultural year.

Methodology: As per the technique of the yield gap analysis, developed by Gomez (1977), the total yield gap is the sum of Yield Gap I (YG I) and Yield Gap II (YG II). The various cost components were identified under fixed cost and variable cost. Gross returns and net returns were then calculated accordingly.

Results: The sampled households were post-stratified into two groups: Group 1 abbreviated as G1, having less than or equal to 2 lactating animals and Group 2 as G2, having more than two lactating animals. The proportion of G1 and G2 households were about 79 and 21 per cent, respectively. The results of data analysis reflected that milk yield gap between potential yield and actual yield (YG II) was higher than yield gap between experimental yield and potential yield (YG I) for both household groups across all the type of dairy animals. The YG II in crossbred cow was more than two times higher on G1 farm as compared to G2 farm while it was more than five times higher in local cow. The average productivity of crossbred (9.23 litres/ day) was much higher than the average productivity of buffalo (6.09 litres) and local cow (4.98 litres/day).

Conclusion: Overall value of total yield gap (TYG) entails that if all the constraints regarding the milk production were tackled then the milk yield of the two districts could be increased by about 43 per cent. Buffalo was providing higher net returns per day per animal (Rs. 7.39) in comparison to crossbred (Rs. 5.19). Net returns both for per day and per litre were negative in case of local cow. The study reveals that the marginal farmers can become economically stable by incorporating dairying (crossbred and buffalo) as a component in their farming system.