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FeedMaster: A least-cost feed formulation App for minimizing the cost and maximizing milk yield
Md Ahsanul Kabir1,2,3, Nasrin Sultana4,3, Abdullah Al Noman1,5
1Biotechnology Division, Bangladesh Livestock Research Institute, Savar, Dhaka 1341, Bangladesh.
Journal of Advanced Veterinary and Animal Research
|November 16, 2022
Summary
A new Android app, BLRI FeedMaster, helps farmers create least-cost feed rations, significantly increasing milk yield and reducing costs. This tool supports profitable animal farming for those with limited education and resources.
Area of Science:
- Agricultural Science
- Animal Husbandry
- Mobile Technology in Agriculture
Background:
- Farmers, especially those with limited education, face challenges in optimizing animal feed rations for cost-effectiveness and productivity.
- The development of accessible digital tools is crucial for improving agricultural practices in developing countries.
Purpose of the Study:
- To develop and evaluate an Android application (BLRI FeedMaster) for formulating least-cost animal feed rations.
- To assess the app's impact on milk yield, feeding costs, and management efficiency for farmers with low educational status.
Main Methods:
- Development of the BLRI FeedMaster Android application for ration formulation.
- Field evaluation involving livestock officers and farmers, with data collection on milk yield, feed quantity, and costs.
- Statistical analysis using descriptive statistics and paired sample t-tests to compare pre- and post-app adoption outcomes.
Main Results:
- Adoption of the BLRI FeedMaster app led to a significant increase in average daily milk yield (8.37 to 9.39 liters).
- The app resulted in a considerable decrease in daily feed quantity (5.60 to 4.88 kg) and associated costs (BDT 29.75 to BDT 28.00).
- Significant reductions were observed in farmer visits for professional services, time spent, and associated costs.
Conclusions:
- The BLRI FeedMaster app is highly beneficial for farmers with low economic and educational backgrounds.
- The application can contribute to profitable animal farming and sustainable production in developing countries like Bangladesh.

