遇见数据集

象山西瓜品质评估模型数据

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浙江省数据知识产权登记平台2023-12-07 更新2024-05-08 收录
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数据来源于对象山各西瓜产地及农户基本种植条件、种植技术、种植品种、生长周期、突然环境等进行数据调研,用于评估预测象山在册各西瓜种植农户西瓜品质情况,便于针对产量告警的农户及时提供技术支持,确保出产西瓜的质量和产量Q= (J1+J2) x (1-0.1xwxn-0.2 xZ-0.3 xG-0.5xD)xHxTJ3x100 Q:西瓜品质评估结果,数值型; J1:西瓜品种外观评估结果,数值型; J2:西瓜品种口味评估结果,数值型; wxn:一年内违规使用农药次数,数值型; Z:土壤pH值规范,0或1; G:病虫害发生情况,0或1; H:日照情况 数值型 D:天气灾害发生情况,0或1; T:西瓜生长期,数值型; J3:是否进行过种植结构调整,0或1;

This dataset is derived from a survey covering basic planting conditions, cultivation techniques, planted varieties, growth cycles, and soil environmental conditions of various watermelon-producing areas and local farming households in Xiangshan. It is used to evaluate and predict the watermelon quality of all registered watermelon planting households in Xiangshan, so as to provide timely technical support for households with yield alerts and ensure the quality and yield of the produced watermelons. The watermelon quality assessment formula is as follows: Q = (J1 + J2) imes (1 - 0.1 imes w imes n - 0.2 imes Z - 0.3 imes G - 0.5 imes D) imes H imes T imes J3 imes 100 Where each variable is defined below: - Q: Numerical value, watermelon quality assessment result - J1: Numerical value, appearance assessment result of watermelon variety - J2: Numerical value, taste assessment result of watermelon variety - w imes n: Numerical value, number of illegal pesticide applications within one year - Z: Binary variable (0 or 1), whether soil pH meets the standard - G: Binary variable (0 or 1), occurrence of plant diseases and insect pests - H: Numerical value, sunshine duration - D: Binary variable (0 or 1), occurrence of weather disasters - T: Numerical value, growth period of watermelon - J3: Binary variable (0 or 1), whether planting structure adjustment has been implemented

创建时间:
2023-11-10
搜集汇总
数据集介绍
象山西瓜品质评估模型数据 数据集图片
特点
象山西瓜品质评估模型数据是一个用于评估和预测西瓜品质的数据集,包含11条记录,每日更新。数据集涵盖了多个影响西瓜品质的因素,并通过特定算法计算出品质评估结果,旨在为农户提供技术支持,确保西瓜的质量和产量。
以上内容由遇见数据集搜集并总结生成
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