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象山杨梅产量预测模型数据

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浙江省数据知识产权登记平台2023-12-09 更新2024-05-08 收录
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数据来源于象山各杨梅产地及农户基本种植条件、种植技术、种植品种记录,用于评估预测象山在册各杨梅种植农户产量情况,便于针对产量告警的农户及时提供技术支持,确保出产杨梅的质量和产量杨梅产量预测模型 Y= a x (1xWxZxS-0.2G-0.3D)xTxJ2xJ3xB1x100 Y:产量登记评估 a: 产量评估基数 W:气候因素,包括降雨量、气温、日照时间等,数值型; Z:土壤因素,包括土壤类型、肥力等级等,数值型; S:杨梅树品种,数值型; G:病虫害发生情况,0或1; D:天气灾害发生情况,0或1; T:杨梅生长期,数值型; J2:种植技术培训; J3:种植结构调整; B1:杨梅种植合作社; 产量分析:高产:80-100分;中产: 60-79分;低产:<60分

Data is sourced from records of basic planting conditions, cultivation techniques, and planted varieties of farmers in various Yangmei-producing areas of Xiangshan. This dataset is designed to evaluate and predict the yield of all registered Yangmei-growing farmers in Xiangshan, so as to provide timely technical support to farmers with yield alerts, and ensure the quality and yield of harvested Yangmei while supporting Yangmei yield prediction models. The yield prediction formula is as follows: Y = a × (1×W×Z×S - 0.2G - 0.3D) × T × J2 × J3 × B1 × 100 Where: Y: Yield registration and assessment a: Baseline yield assessment value W: Climatic factors, including rainfall, air temperature, sunshine duration and other relevant indicators, expressed as numerical values Z: Soil factors, including soil type, fertility grade and other relevant indicators, expressed as numerical values S: Yangmei tree variety, expressed as a numerical value G: Occurrence of pests and diseases, with value range of 0 or 1 D: Occurrence of meteorological disasters, with value range of 0 or 1 T: Growth period of Yangmei trees, expressed as a numerical value J2: Cultivation technique training J3: Planting structure adjustment B1: Yangmei planting cooperatives Yield classification: High yield: 80-100 points; Medium yield: 60-79 points; Low yield: <60 points
提供机构:
象山县大数据发展中心
创建时间:
2023-11-20
搜集汇总
数据集介绍
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特点
该数据集是一个用于预测象山杨梅产量的模型数据,包含101条记录,每日更新。数据涵盖了气候、土壤、品种等多个影响产量的因素,来源于象山各杨梅产地及农户的种植记录,旨在通过分析这些数据来预测产量并提供技术支持。
以上内容由遇见数据集搜集并总结生成
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