公开(公告)号：EP2881876A1

公开(公告)日：2015-06-10

申请号：EP13196106.2

申请日：2013-12-06

申请人： Bayer CropScience AG

发明人： Cerdà Vallès, Santiago

IPC分类号： G06F19/12 ,  G06Q50/02

CPC分类号： G06Q10/063 ,  G06Q10/04 ,  G06Q50/02

摘要： A method for decision support in pest, disease and/or weed control management is proposed, wherein a forecast regarding the time of an appearance of a pest species, pathogen and/or a weed variety at a forecast location is made in a forecast year on a forecast day (t1) based on the temperature data of the year preceding the forecast year and of the forecast year, wherein the date of a day of the preceding year on which the pest species, pathogen and/or weed variety appeared for the first time at the forecast location is inputted into an evaluation device and stored in a storage device, wherein the temperature data of the preceding year and of the forecast year are transmitted by a temperature measuring device to the evaluation device and stored in the storage device, wherein the evaluation device calculates an accumulated degree day number (Y1) for the forecast day (t1) from the temperature data of the forecast year, wherein the evaluation device determines accumulated degree day numbers of the preceding year from the temperature data of the preceding year and compares the accumulated degree day number (Y1) of the forecast year with the accumulated degree day numbers of the preceding year, wherein the evaluation device, based on this comparison, makes a forecast regarding the time of an appearance of the pest species, pathogen and/or weed variety and a day number difference is displayed on a display device, wherein the day number difference indicates by how many days a forecast date of the appearance of the pest species, pathogen and/or weed variety in the forecast year differs from the date of the day of the preceding year on which the pest species, pathogen and/or weed variety appeared at the forecast location for the first time.

摘要翻译： 提出了一种有害生物，疾病和/或杂草控制管理决策支持的方法，其中预测在预测年份对预测地点的有害生物种类，病原体和/或杂草品种的出现时间进行预测 基于预测年份前一年的温度数据和预测年度的预测天（t1），其中第一年的有害生物，病原体和/或杂草品种出现在前一年的一天的日期 将预测位置的时间输入到评价装置，并存储在存储装置中，其中，前一年和预测年份的温度数据由温度测量装置传送到评估装置并存储在存储装置中，其中 评估装置根据预测年的温度数据计算预测日的累计度日数（Y1），其中评估装置确定累积度日数 比较上一年的温度数据，将预测年度的累积度日数（Y1）与前一年的累积度日数进行比较，其中，基于该比较，评价装置 关于有害生物种类，病原体和/或杂草品种出现的时间和日数差异的预测显示在显示装置上，其中日数差异表示有害生物种类出现预测日期的天数 ，预测年份的病原体和/或杂草品种与上一年的日期不同，有害物种，病原体和/或杂草种类首次出现在预测地点。