CopyleftCultivars/SemiSynthetic_Data_For_Regenerative_Farming_Agriculture

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license: mit
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Dataset for Agricultural/Farming methods which increase fertility. Dataset contains scenarios and action suggestionss, with intended outcomes. The scenarios are puzzling conundrums on a farm or garden and the actions are informed by Regenerative Agriculture and Natural Farming principles and practices.

Regarding Regenerative Farming practices, and Regenerative Farming.
"What is Regenerative Agriculture?
Regenerative agriculture takes a systems-based, holistic look at the land being stewarded and applies various principles with the goal of making the land more productive and biodiverse over time. In most situations, improving soil health and function is the key to improving productivity and biodiversity. One of the key components of healthy soil is organic matter, which is anything that is alive or was once living, such as a plant root, an earthworm, or a microbe. " -Kiss The Ground Documentary

This curated dataset was create semi-synthetically using a RAG system containing regenerative agriculture data for various plants, sourced from agricultural college public data and extension offices' public data, along with open nutrient projects data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned lightly by Caleb DeLeeuw (@Solshine on Hugging Face.)

This dataset was created and curated in coordination with domain experts in Regenerative Farming and Natural Farming.

The dataset is in json.

原始信息汇总

数据集概述

数据集内容

• 主题: 农业/农耕方法，旨在提高土壤肥力。
• 包含内容: 场景描述和行动建议，以及预期的结果。
• 场景特点: 涉及农场或花园中的难题。
• 行动依据: 基于再生农业和自然农耕的原则和实践。

再生农业简介

• 再生农业: 采用系统性、整体性的方法看待土地，旨在长期提高土地的生产力和生物多样性。
• 关键目标: 改善土壤健康和功能，以提高生产力和生物多样性。
• 土壤健康关键: 有机物质（如植物根、蚯蚓、微生物等）。

数据集创建

• 创建方法: 半合成方式，使用RAG系统，结合农业学院公开数据、推广办公室公开数据和开放营养项目数据。
• 技术支持: 通过ChatGPT4 API整合数据。
• 创建组织: Copyleft Cultivars Nonprofit。
• 数据清理: 由Caleb DeLeeuw（@Solshine on Hugging Face）轻度清理。

数据格式

• 格式: JSON。

专家合作

• 合作领域: 再生农业和自然农耕领域的专家。