Plant Leaf Disease Recognition Using Depth-Wise Separable Convolution-Based Models
نویسندگان
چکیده
منابع مشابه
DCT based Plant Leaf Disease Recognition Algorithm using Subtractive Clustering
The main focus of the study is to implement and evaluates the DCT based plant leaf disease recognition using subtractive clustering for automatic recognition and classification. The proposed methodology of the study includes image processing and recognition by classification. The method consists of four phases: First, capturing plant leaf disease images and perform color space transformation, i...
متن کاملPlant Disease Recognition Based on Plant Leaf Image
Plant disease automatic detection is an important research topic as it has been proved useful in monitoring large crop fields, and thus automatically detects the leaf disease symptoms as soon as they appear in plant leaves. In this paper, a plant disease recognition method is proposed based on plant leaf images. First, the spot is segmented, and the disease feature vector is extracted. Then, th...
متن کاملPlant Leaf Recognition using Gabor Filter
This paper proposes an automated system for recognizing plant species based on leaf images. Plant leaf images of three plant types are analyzed using Gabor Filter by varying the filter parameters. Leaf images are convolved with Gabor filters followed by a separation of the real and imaginary portions of the signal. Absolute difference between the real and imaginary signals form the scalar featu...
متن کاملLeaf shape based plant species recognition q
Plant has plenty use in foodstuff, medicine and industry. And it is also vitally important for environmental protection. However, it is an important and difficult task to recognize plant species on earth. Designing a convenient and automatic recognition system of plants is necessary and useful since it can facilitate fast classifying plants, and understanding and managing them. In this paper, a...
متن کاملPlant Leaf Recognition
Research on automatic leaf classification has been active since 2000. Lots of hand-crafted features have been proposed, ranging from shape based, to statistical texture and margin related [2] [3] [1]. Also generic computer vision object recognition features, such SIFT[32] and HOG[33], are studied for this problem. Most of such manually engineered features achieve excellent accuracy on clean ima...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Symmetry
سال: 2021
ISSN: 2073-8994
DOI: 10.3390/sym13030511