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Agriculture dataset Karnataka

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doi.org2025-03-25 收录
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http://doi.org/10.17632/nfj84km5fz.1
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The dataset you've provided appears to capture agricultural data for Karnataka, specifically focusing on crop yields in Mangalore. Key features include the year of production, geographic details, and environmental conditions such as rainfall (measured in mm), temperature (in degrees Celsius), and humidity (as a percentage). Soil type, irrigation method, and crop type are also recorded, along with crop yields, market price, and season of growth (e.g., Kharif). The dataset includes several columns related to crop production conditions and outcomes. For example, coconut crop data reveals a pattern of yields over different area sizes, showing how factors like rainfall, temperature, and irrigation influence production. Prices also vary, offering insights into the economic aspects of agriculture in the region. This information could be used to study the impact of environmental conditions and farming techniques on crop productivity, assisting in the development of optimized agricultural practices tailored for specific soil types, climates, and crop needs.

您所提供的数据集似乎涵盖了卡纳塔克邦的农业数据,特别是针对曼加洛尔的作物产量。其中关键特征包括生产年份、地理详情以及环境条件,如降水量(以毫米为单位)、温度(以摄氏度计)和湿度(以百分比表示)。土壤类型、灌溉方法和作物类型亦被记录,此外还包括作物产量、市场价格和生长季节(例如,卡里夫季节)。数据集包含了与作物生产条件和结果相关的多个列。例如,椰子作物数据揭示了在不同面积规模上的产量模式,展示了如降水量、温度和灌溉等因素如何影响生产。价格亦有所波动,为该地区农业的经济层面提供了洞见。此类信息可用于研究环境条件和农业技术对作物生产效率的影响,有助于开发针对特定土壤类型、气候和作物需求的优化农业实践。
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