The use of UAVs is a promising tool for assessing the incidence and severity of plant diseases in global agriculture. For some diseases, there is a need for a scientific basis to prove the data obtained by these platforms. Therefore, the objective of this study was to test if multispectral sensors were able to detect radiometric changes in plants of black pepper infected with Fusarium solani f. sp. piperis by using NDVI and NDRE indexes. After the images were captured, processed and the indexes calculated, the canopy area of 35 plants with visual symptoms of fusariosis, plus 140 plants close to the diseased ones, plus 35 healthy plants were extracted with its pixels being converted to Excel where the means and differences were calculated. The NDVI index showed the slightest percentage of change between the tested groups, while the NDRE showed higher differences between the groups. By testing the means of each diseased canopy with the nearby plant’s mean, the NDVI detected two diseased plants above the mean, failing to detect them, while the NDRE detected all the diseased plants.

无人机的使用是评估全球农业中植物病害的发生率和严重程度的有前途的工具。对于某些疾病，需要科学依据来证明这些平台获得的数据。因此，本研究的目的是测试多光谱传感器是否能够检测出感染了枯萎镰刀菌的黑胡椒植物的辐射变化。sp。胡椒通过使用NDVI和NDRE索引。捕获图像后，进行处理并计算指标，对35具可见镰刀菌病症状的植物的冠层面积，附近患病的140株植物和35株健康的植物进行提取，并将其像素转换为Excel，其中均值和计算差异。NDVI指数显示测试组之间变化的百分比最小，而NDRE显示组之间的差异较大。通过用附近植物的均值测试每个患病冠层的平均值，NDVI在均值上方检测到两个患病植物，但未能检测到它们，而NDRE则检测到所有患病植物。