Abstract

The economic and cultural importance of lupin has been identified in regions such as the alpine zone of Ecuador, where per capita consumption reaches 0.4 kg per month. However, fungal pathogens affect lupin cultivation, causing considerable crop losses. In this study, Lupinus mutabilis Sweet plants started from seeds were analysed using remote sensing techniques, and different physical disinfection pretreatments were applied. A total of 6 samplings were conducted according to the phenological stages of the crop. A spectroradiometer and an unmanned aerial vehicle were used to generate vegetation indices based on the red, near-infrared and red-edge bands. Using SfM photogrammetry and RTK positioning, the vegetation index values were extracted from the orthophotos and statistically analysed. All the vegetation indices exhibited significant differences between phenological stages, but the differences between pretreatments were not as clear. The best pretreatment was determined to be drying the seeds at ambient temperature for 45 minutes.

摘要

羽扇豆的经济和文化重要性已在厄瓜多尔的高山地区等地区得到确认，该地区的人均消费量达到每月 0.4 公斤。然而，真菌病原体会影响羽扇豆的种植，造成相当大的作物损失。在这项研究中，羽扇豆使用遥感技术分析从种子开始的甜植物，并应用不同的物理消毒预处理。根据作物的物候阶段共进行了6次取样。光谱辐射计和无人机用于生成基于红色、近红外和红边波段的植被指数。利用SfM摄影测量和RTK定位，从正射影像中提取植被指数值并进行统计分析。所有植被指数在物候阶段之间均表现出显着差异，但预处理之间的差异并不明显。确定最佳预处理是在环境温度下将种子干燥 45 分钟。