Data for: ARTIFICIAL NEURAL NETWORK MODELLING IN THE PREDICTION OF BANANAS' HARVEST

In order to visualize the gestation behavior of the clusters according to the climatic factors studied (mean, maximum and minimum temperatures (ºC), Relative Humidity (RH%), Precipitation (mm) and Photoperiod (hours)), this worksheet shows the raw data used in the present study, from the average of 7 years of data collection that shows that in the periods of lower temperatures, low precipitation and photoperiod, the gestation time of the bunches increases.为基于本研究探讨的气候因子（平均、最高、最低气温（摄氏度）、相对湿度（Relative Humidity，RH%）、降水量（毫米）与光周期（Photoperiod，小时））可视化果串的孕育行为，本数据表展示了本研究所用的原始数据。该数据取自7年数据采集的平均值，结果显示：在气温偏低、降水量与光周期偏短的时段，果串的孕育时长会延长。