水稻稻飞虱模型数据

水稻被稻飞虱虫害所影响的程度预测,输入为降水量以及干球温度,输出为水稻稻飞虱程度,该模型帮助解决了水稻稻飞虱虫害预测和与气象因素的关系建模的问题。水稻稻飞虱与气象因素的关系模型，首先通过查阅大量文献和对接专家经验获取水稻上稻飞虱的虫情及稻飞虱的生长规律。模型通过历史测报数据及对应的气象数据，可以预测未来的稻飞虱虫害情况。该模型通过输入当天的干球温度、相对湿度，来输出预测的未来的虫量和发生程度。This dataset is intended for predicting the damage degree of rice caused by rice planthopper infestation. The model takes precipitation and dry-bulb temperature as inputs, and outputs the rice planthopper infestation degree. It addresses the challenges of rice planthopper infestation prediction and the establishment of the relationship model between the pest and meteorological factors. The relationship model between rice planthoppers and meteorological factors is developed by first consulting a large number of academic literatures and integrating expert experience to obtain the pest status of rice planthoppers on rice and their growth patterns. Using historical forecast data and corresponding meteorological data, the model can predict future rice planthopper infestation situations. Specifically, this model takes daily dry-bulb temperature and relative humidity as inputs, and outputs the predicted future pest population and occurrence degree.

搜集汇总

数据集介绍

特点

水稻稻飞虱模型数据是由杭州五舟长空科技有限公司提供的企业数据，主要用于预测水稻被稻飞虱虫害所影响的程度。数据集包含409564条记录，每周更新，通过输入降水量和干球温度等气象因素，输出预测的虫量和发生程度，帮助解决水稻稻飞虱虫害预测问题。