Device for detecting diseased leaves in plant by image processing, has high-resolution camera for capturing images of plant leaves, and image processing module that utilizes Gray Level Co-occurrence Matrix and K-Nearest Neighbors classification for detecting disease patterns in leaves
2025-04-01
专利权人SATHYABAMA SCI & TECHNOLOGY INST (SATH-Non-standard)
申请日期2025-04-01
专利号IN202541032205-A
成果简介NOVELTY - The device has a high-resolution camera for capturing images of plant leaves under various lighting conditions. An image processing module utilizes Gray Level Co-occurrence Matrix (GLCM) and K-Nearest Neighbors (KNN) classification for detecting disease patterns in leaves. A preprocessing system applies noise reduction, contrast enhancement, and segmentation techniques to improve image clarity and feature extraction. A wireless communication module enables data transfer to cloud storage or remote monitoring systems for analysis. A user-friendly interface displays diagnostic results, disease classification, and recommended corrective measures for detected plant diseases. USE - Device for detecting diseased leaves in plant by image processing. ADVANTAGE - The device allows early identification of plant diseases, and allows for timely intervention, thus minimizing crop loss and improving agricultural productivity. The device is useful for farmers and agricultural researchers for enabling to monitor plant health in real-time and take necessary actions to prevent the spread of infections, thus enhancing yield and food security. The device provides an efficient and automated method for early disease detection in plants, thus reducing dependency on manual inspection.
IPC 分类号G06N-003/08 ; G06Q-050/02 ; G06T-007/00 ; G06V-010/774 ; G06V-020/10
国家印度
专业领域信息技术
语种英语
成果类型专利
文献类型科技成果
条目标识符http://119.78.100.226:8889/handle/3KE4DYBR/13268
专题中国科学院新疆生态与地理研究所
作者单位
SATHYABAMA SCI & TECHNOLOGY INST (SATH-Non-standard)
推荐引用方式
GB/T 7714
AMSHAVALLI R S,KRISHNAMURTHY K,DEVAN P,et al. Device for detecting diseased leaves in plant by image processing, has high-resolution camera for capturing images of plant leaves, and image processing module that utilizes Gray Level Co-occurrence Matrix and K-Nearest Neighbors classification for detecting disease patterns in leaves. IN202541032205-A[P]. 2025.
条目包含的文件
条目无相关文件。
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。