[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-80121":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":8,"htmlUrl":8,"language":9,"languages":8,"totalLinesOfCode":8,"stars":10,"forks":11,"watchers":10,"openIssues":12,"contributorsCount":12,"subscribersCount":12,"size":12,"stars1d":12,"stars7d":12,"stars30d":12,"stars90d":12,"forks30d":12,"starsTrendScore":12,"compositeScore":13,"rankGlobal":8,"rankLanguage":8,"license":8,"archived":14,"fork":14,"defaultBranch":15,"hasWiki":16,"hasPages":14,"topics":17,"createdAt":8,"pushedAt":8,"updatedAt":18,"readmeContent":19,"aiSummary":20,"trendingCount":12,"starSnapshotCount":12,"syncStatus":21,"lastSyncTime":22,"discoverSource":23},80121,"crop-recommendation-system","amaravijayalakshmi216-collab\u002Fcrop-recommendation-system","amaravijayalakshmi216-collab",null,"Python",55,1,0,34.9,false,"main",true,[],"2026-06-12 04:01:26","# Crop Recommendation System\n\nA machine learning project that recommends suitable crops based on:\n\n- Nitrogen (N)\n- Phosphorus (P)\n- Potassium (K)\n- Temperature\n- Humidity\n- pH\n- Rainfall\n\nTechnologies Used:\n- Python\n- Pandas\n- Scikit-learn\n- Random Forest\n","这是一个基于机器学习的农作物推荐系统，能够根据土壤和气候条件为用户推荐适宜种植的作物。项目核心功能是通过分析氮、磷、钾含量以及温度、湿度、pH值和降雨量等参数来预测最适合种植的作物种类。技术上，该项目采用了Python语言，并利用Pandas进行数据处理，Scikit-learn中的随机森林算法作为主要模型来实现作物推荐。适用于农业领域中帮助农民或农业顾问根据具体环境条件选择最优作物，提高农业生产效率与收益。",2,"2026-06-11 03:59:19","CREATED_QUERY"]