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  1. Agricultural statistics include more than 50 different datasets which describe agricultural land use, production of crop and animal products, farm structures, prices, economic inputs and outputs and the impact of agriculture on the environment, health and wellbeing.

  2. 17 wrz 2021 · The SAM assessment focuses on the direct impacts of agricultural production on the environment and economy, and broader impacts on the whole society (Figure 1), recognizing that agriculture is deeply interconnected with other sectors (e.g., industry).

  3. Statistical needs for agricultural planning and policy-making are very broad. The primary needs are for current agricultural statistics produced on a regular basis, such as crop and livestock production, and most economies have established an ongoing system for the collection of these data.

  4. 9 maj 2023 · In agricultural research, statistics is used for designing experiments, analyzing data, making decisions, improving yield, and managing risks.

  5. 27 mar 2009 · Agricultural statisticians today should be deeply involved in research in cooperation with other disciplines, as innovators in statistical technique, and to some extent in development of statistical theory.

  6. 1 sty 2020 · Agriculture research based on time (past, present, and future) can be divided into three categories: historical, survey, and experimental research (Delavar 2017). Historical research is the application of the scientific research method in historical issues of agriculture.

  7. 20 paź 2017 · We understand agricultural research as being a prime example for the consideration of wider research impacts. This is because agriculture is a sector which has direct and severe implications for a range of the UN Sustainable Development Goals.