In this research paper, plant leaf disease detection employing transfer learning is explored in the JPEG compressed domain. Here, the JPEG compressed stream consisting of DCT coefficients is directly fed into the neural network to improve the efficiency of classification. The experimental results on ...
This outcome is achievable thanks to increasingly advanced technologies, where deep learning have shown significant potential in analyzing large volumes of data and providing valuable insights into various agricultural activities. This paper specifically delves into the domain of plant disease detection, ...
Additionally, the detail computer vision-based techniques and proccsses including field crops, image acquisition, leaf image datasets, image preprocessing (test set, training set, and validation sets), data splitting, and performance assessment methods) for plant disease detection and classification have...
To detect a plant disease in very initial stage, use of automatic disease detection technique is beneficial. For instance a disease named little leaf disease is a hazardous disease found in pine trees in United States. The affected tree has a stunted growth and dies within 6 years. Its ...
In this paper, aiming at the detection and recognition of the plant leaf disease area, the HSI color space instead of RGB is proposed to preprocess the original image, in order to solve the problem of difficult segmentation of plant leaf images due to the influence of illumination. Then, usi...
Diseased plant leaf image segmentation is a basic pre-processing task to separate leafs from the background and detects the disease affected portion. Although many methods are proposed, it is still difficult to accurately segment the affected portion and to measure the severity of dis...
A Survey and Research Proposal of Plant Leaf Disease Diagnosis and Classification on Mobile Devices A plant disease is defined as anything that prevents a plant from performing to its maximal potential. A plant disease has impacted society and world olden times. Plant diseases have caused enormous ...
Nitin P. Kumbhar, "Agricultural plant Leaf Disease Detection Using Image Processing" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Volume 2, Issue , 2013.Sanjay, B & Nitin, P 2013, `Agricultural plant leaf disease detection using image processing...
Generally, the leaves of plants show the first signs of plant disease, and most diseases can be detected from the symptoms that appear on the leaves. Therefore, this paper introduces a novel method for the detection of plant leaf diseases. The method is divided into two parts: image ...
This paper is concerned with a new approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. Novel way of training and the methodology used facilitate a quick and easy system implementation in practice. The ...