Author
Listed:
- Mahalakshmi Kovvuri
- Bharat Khushalani
Abstract
This comprehensive study aims to provide a detailed comparative analysis of crop performance by investigating the behavior of crops classified as exhibiting either high or low kilograms per hectare (KGH) productivity through the lens of three fundamental ratio-based indicators: production-to-area, yield-to-area, and yield-to-production. These ratios are critical metrics that help quantify land-use efficiency, productivity levels, and output stability, thereby offering a multi-dimensional perspective on agricultural performance. Such ratios indicate how crops behave under varying agronomic and environmental contexts. This study delves into crop performance by distinguishing them into two primary categories based on variance characteristics. High KGH crops are identified as those more susceptible to significant fluctuations due to factors such as climatic variability, market shifts, and biological vulnerabilities. Conversely, low KGH crops display relatively stable and predictable patterns of output, making them more reliable under standard farming conditions. The research utilizes both line and bar charts to effectively visualize the inter-crop differences and temporal trends in these ratios, highlighting patterns of consistency and volatility that characterize various crops. The findings aim to support enhanced data-driven decision-making in crop planning, agricultural land management, and policy formulation, particularly in regions facing significant variability in agricultural outputs due to climatic, environmental, or socio-economic factors. By carefully analyzing these ratios, the study not only sheds light on crops with superior resilience and efficiency but also identifies those prone to instability, offering valuable insights for stakeholders in the agricultural sector.
Suggested Citation
Mahalakshmi Kovvuri & Bharat Khushalani, 2025.
"Comprehensive analytical report on crop performance using ratio-based metrics,"
Agriculture and Food Sciences Research, Asian Online Journal Publishing Group, vol. 12(2), pages 84-92.
Handle:
RePEc:aoj:agafsr:v:12:y:2025:i:2:p:84-92:id:6960
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