Abstract

The main objective of the project is to analyze and compare yield data from organic and conventional agriculture in order to study the productivity and sustainability of the two agricultural models under different environmental conditions and management practices. The ultimate goal is understanding whether organic agriculture can be a viable approach to sustainable global food production.

The primary data for this study comes from the paper "Comparing the Yields of Organic and Conventional Agriculture", published in the journal Nature. The paper includes global yield data for both organic and conventional agriculture. These data include the yield values of different crops and associated environmental and management factors under organic and conventional agricultural production models. Based on this, I used Rstudio to clean and process the data and applied different statistical analysis methods to assess the impact of various agricultural management practices and environmental conditions on different crop yields. I have considered factors such as crop type, geographical location and period to ensure the analysis is comprehensive and accurate. 

The results of the statistical analysis showed that the yields of the crop types differed extremely significantly in both conventional and organic agriculture, and that fertilizer was one of the major factors affecting their yields. In addition, the interaction between farm type and crop type was statistically significant, suggesting that yield differences between organic and conventional agriculture are not uniform across all crop types.