Agrobilim.kz

Repository of scientific evidence on animal husbandry and veterinary science, and plant growing

Description

Agrobilim.kz consolidates scientific evidence on animal husbandry, veterinary science, plant production and food processing. The repository features research in various subsectors, e.g. sheep breeding, grain production, resource-saving technologies, vegetable growing, cotton growing, forage production, aquaculture, beekeeping, plant protection, fruit growing, and rice growing, and more.

Technology

  • Desktop/web-based application

The repository contains three thematic areas, namely animal husbandry, plant production, food prcessing with the total of 14 subtopics to choose from. Upon choosing a particular topic, visitors can examine the brief description, research institutes involved, and project cost of the research. The website also summarizes the findings of the research such as the main advantages in terms of productivity, yield, efficiency, stability, cost and performance among others. Some databases are also available for download in pdf.

Target

  • Academia and research institutions
  • Farm advisors

The main users of Agrobilim.kz are farm advisors and academic institutions.

Business model

  • Fully free

The repository is fully free to use.

Impact

The initiative acts as a measure of indirect support for agricultural producers. According to the website, Agrobilim.kz helps in stabilizing the agricultural sector and standard of living of the rural population through the constant increase in product competitiveness and labour productivity.

Partners

National Agrarian Scientific and Educational Center

Four Betters

  • Better production
  • Better nutrition
  • Better environment
  • Better life

Sustainable Development Goals

  • SDG 2: Zero hunger
  • SDG 3: Good health and well-being
  • SDG 9: Industry, innovation, and infrastructure
  • SDG 12: Responsible consumption and production
  • SDG 17: Partnerships for the goals
For detailed description of each attribute and parameter, check the AgriTech Observatory Taxonomy >

Analytics

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Technology prevalence

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Source: FAO AgriTech Observatory

Entry type breakdown

Distribution of observatory entries by Entry Type.

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Source: FAO AgriTech Observatory

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