Dept. of Inf., Inst. Teknol. Sepuluh Nopember Surabaya, Surabaya, Indonesia;
agriculture; image classification; image colour analysis; image segmentation; image texture; matrix algebra; object detection; plant diseases; support vector machines; GLCM; L*a*b* color space; SVM; classification techniques; color features; disease spot extraction; error severity estimation; gray level co-occurrence matrix; maximum standard deviation; plant disease early detection; plant disease estimation; segmented spots image; spot disease; sugarcane leaf disease detection; sugarcane leaf disease severity estimati;
机译:基于病叶和健康叶面积的普通豆角叶斑病严重程度评估效率
机译:应用嵌入式疾病术视觉严重性估算表甜点的视觉严重程度评价
机译:基于色彩感应和图像处理的大豆植物叶病自动检测与评估
机译:基于分段斑点图像的甘蔗叶疾病检测与严重性估计
机译:美元斑和灰叶斑的严重程度受灌溉习惯和使用植物保护材料进行病害管理的影响。
机译:叶和冠层反射光谱法用于估计普通豆类作物角叶斑病严重程度
机译:应用App-Embedded疾病尺度的评估,用于桌上植物孢子孢子叶片叶片剖面估计