象山柑橘产量预测模型数据
收藏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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数据来源于象山各柑橘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柑橘农户产量情况,便于针对产量告警的农户及时提供技术支持,确保出产柑橘的质量和产量YIELD= a x (1xWxZxS-0.2G-0.3D)xTxJ2xJ3xB1x100 YIELD:预测产量,单位为吨; 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:柑橘树品种,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:柑橘生长期,数值型; J2:种植技术培训; J3:种植结构调整; B1:柑橘种植合作社; 产量分析:高产:80-100分;中产: 60-79分;低产:<60分
This dataset is collected from records of basic planting conditions, planting technologies, and cultivated varieties of citrus farmers and production areas across Xiangshan. It is intended to evaluate and predict the yield of all registered citrus farmers in Xiangshan, so as to provide timely technical support to farmers with yield alerts and ensure the quality and yield of the harvested citrus.
The yield calculation formula is: YIELD = a × (1×W×Z×S - 0.2G - 0.3D) × T × J2 × J3 × B1 × 100
Where:
- YIELD: Predicted yield, unit: ton
- a: Yield evaluation base value
- W: Climatic factors, including rainfall, air temperature, sunshine duration, etc., numerical type
- Z: Soil factors, including soil type, fertility grade, etc., numerical type
- S: Citrus cultivar, numerical type
- G: Pest and disease occurrence status, 0 or 1
- D: Weather disaster occurrence status, 0 or 1
- T: Citrus growth period, numerical type
- J2: Planting technical training
- J3: Planting structure adjustment
- B1: Citrus planting cooperative
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

特点
该数据集包含101条记录,每日更新,用于预测象山柑橘产量。数据涵盖气候、土壤、品种等12个关键因素,通过特定算法评估产量,并提供技术支持以确保质量和产量。
以上内容由遇见数据集搜集并总结生成



