Cost and Return Analysis of Cropping Patterns in Bangladesh, 2017-2018

A 9.5 KB Excel dataset compares the economic performance of existing and improved cropping patterns studied during the 2017–2018 period. The data was authored by Md. Mostahed Hossain and is available under a CC-BY-4.0 license. Platform tags suggest a focus on potato genotypes, garden pea, and enhancing cropping intensity in Bangladesh.

Use Cases

• Compare the cost-effectiveness of conventional versus improved potato cropping patterns based on the study description.
• Analyze the impact of cropping intensity redesign on land use efficiency based on the platform tags.
• Model the economic returns of garden pea cultivation within different cropping systems based on the platform tags.
• Benchmark the performance of specific potato genotypes (e.g., 'Bulking Potato Genotypes') under various patterns based on the platform tags.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, allowing for quick download and inspection.
• The study period (2017–2018) is explicitly defined.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.
• The geographic scope is implied by tags like 'Rars Burirhat' but not explicitly stated in the provided input.

Provenance

Source

Md. Mostahed Hossain via figshare.

Collection Method

Likely contains results from a field study comparing cropping patterns.

Time Range

2017–2018

Freshness

Last updated 2026-03-17 17:28:40; freshness should be verified.

Geography

Platform tags suggest a likely focus on Bangladesh (e.g., 'Rars Burirhat').