Technologies Intervention to Reduce Rice Post Harvest Loses in Bangladesh
Journal Title: American Journal of Agricultural Science, Engineering, and Technology - Year 2019, Vol 3, Issue 1
Abstract
The use of technologies in the reduction of post-harvest losses of rice at farm level is advocated in this paper. The research discusses the conditions under which producers can benefit (e.g, minimizing the losses, ensuring quality, reducing gender inequality, time & labor saving etc) from technological innovations and to identify the gaps and opportunities to address the post-harvest based technology needs in the improvement of post-harvest loses and reducing the drudgery. In post-harvest activities the quality of the harvested crop, the degree of losses incurred and the efficiency of the operations and hence, overall costs are affected by factors related to the respondents age, education, family size, occupation, cropping area, institutional access to credit, the way of handling by male & female and the technology used. Purposive sampling technique was used to obtain data from 270 Bangladeshi Rice farmers. To estimate the casual impact of technology adoption propensity score matching methods and probit model is utilized to assess the results robustness that estimate the true welfare effect of technology adoption by controlling for the role on production and adoption decisions. Results show that adoption of improved technology gives higher returns to the farmers (5.62%) than the traditional farmers, though the former is more capital intensive than the latter. Quantity of operated area and access to credit are the two most important factors that contribute to adoption. With increasing Dependency Ratio and Cost of mechanical power, farmers tend to adopt less. The overall result from this paper generally confirms the potential direct role of Post-Harvest technology adoption on improving rural household welfare, as higher production tends to higher incomes.
Authors and Affiliations
Mashrat Jahan,Atiar Rohman Molla,Jaba Rani Sarker
Machine Learning-Based Price Prediction for Cows
As Bangladesh is an agricultural country, cows have a great influence on our economy. However, there is no cow-related work or dataset accessible online in the fields of machine learning and artificial intelligence. This...
Yield Potential and Monetary Advantage Index of Maize Intercropped with Grain Legumes in Anyigba, Kogi State, Nigeria
Traditional mixtures of food crop species involve intercrop of plants with dissimilar size and growth cycle on the field. However, the Relative Yield Potential (RYP) and Land Equivalent Ratios (LER) of these mixtures are...
Mobile-Based Application for Agricultural Crops of Silang, Cavite
Farmers’ awareness on fast-moving developments in technologies affects the agriculture operations. Smartphones have been useful in agriculture for their mobility and accessibility. The mobile-based application for agri...
Response of Some Improved Upland Rice Varieties to Different Sources and Rates of Nitrogen Fertilizer in A Humid Rain Forest Region
ABSTRACT Nitrogen (N) is a major lacking nutrient element for the growth and yield of cereal crops Calabar, it is necessary to determine the response different sources and rates of N in four varieties of upland ri...
Traffic Control Patching and Security Solution in Iot
After connecting multiple devices to a network and possessing data analysis and excerpting, the IoT is awaited to contribute to the formation of new customer value. Critical infrastructure that gets into peopleâs lives...