Deep learning and olive disease
WebFeb 10, 2024 · At the same time, an early and deep understanding of plant disease epidemiology is needed to tackle future challenges ahead and to relate directly with the disease control strategies. Comprehensively, the Special Issue collected 13 original contributions (1 review, 1 perspective, and 11 research papers). WebJan 1, 2024 · Olive is affected by many types of pathogens and deficiencies. Some of the olive diseases are bacteria wilt, olive knot, bacterial spot, bacterial leaf blight, angular leaf spot, verticillium wilt, olive leaf spot, leaf mould, olive fruit fly, olive bark beetle, olive borer, olive moth, nitrogen, calcium, magnesium, zinc deficiency and more.
Deep learning and olive disease
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WebSep 7, 2024 · Deep learning has the potential to detect diseases automatically from leaf clipping images. We achieve good results on two diseases of interest to the industry: … WebOct 12, 2024 · Currently, deep learning (DL) techniques have been shown to be useful methods for diagnosing olive leaf diseases and many other fields. In this work, we use a deep feature concatenation (DFC) mechanism to combine features extracted from input images using the two modern pretrained CNN models, i.e., ResNet50 and MobileNet.
Though many researchers have studied plant leaf disease, the timely diagnosis of diseases in olive leaves still presents an indisputable challenge. Infected leaves may display different symptoms from one plant to another, or even within the same plant. For this reason, many researchers studied the effects of those … See more Nowadays, olive cultivation in some Middle Eastern countries depends on the latest scientific technology. Approximately 80% of olive … See more This section presents a brief description of the most known deep learning models. Then, it discusses related works in the field of classification … See more In this section, we present the results of the experimental tests performed on the model presented in this paper. We also compare the results of different machine learning techniques using our modified deep learning model. … See more This section details our approach for classifying olive leaf images to “healthy,” “Aculus olearius disease,” or “peacock spot disease.” It is based on well-known deep learning … See more WebJul 9, 2024 · Nowadays, a large number of researchers (including different institutes, laboratories, and universities) have developed and examined various traditional machine learning (ML) and deep...
http://www.jatit.org/volumes/Vol99No18/5Vol99No18.pdf WebSep 11, 2024 · Olive leaf (OLL) extracts contain a high load of antioxidant polyphenols with significant pharmacological potency. In this study, the use of a novel natural deep eutectic solvent enabled the effective extraction of OLL polyphenols and their testing as radical scavengers, in the presence or absence of methyl β-cyclodextrin (m-β-CD), using …
WebOn grape leaves, diseases like rust, scab, downy mildew with powdery mildew, and some more diseases like leaf blight, black measles, and black rot can occur. Image processing-based automated systems have recently been developed, which can efficiently identify and recognize diseases in Horticulture.
WebFor this purpose, we introduce an optimal deep learning model for diagnosing olive leaf diseases. This approach is based on an adaptive genetic algorithm for selecting optimal parameters in deep learning model to provide rapid diagnosis. To evaluate our approach, we applied it in three famous deep learning models. convert_pinyin.jsWebSep 17, 2024 · Soil salinization has become one of the major environmental problems threatening food security. The identification and knowledge of the spatial distributions of soil salinization are key in addressing this problem. This study assumes that a good saline land identification effect can be obtained with the help of deep learning methods. Therefore, … convert pint to lbWebJul 9, 2024 · Abstract: The early detection of diseases is important in agriculture for an efficient crop yield. The bacterial spot, late blight, septoria leaf spot and yellow curved leaf diseases affect the crop quality of tomatoes. Automatic methods for classification of plant diseases also help taking action after detecting the symptoms of leaf diseases. convert pint to qtWebSep 10, 2024 · Deep learning; Computer vision; Download conference paper PDF 1 Computer Vision and Deep Learning for Prevention of Olive Pests and Diseases. The project will develop an Intelligent monitoring and management platform for prevention of pests and diseases in olive groves, including IoT with sensing, georeferencing and … fal reviewsfalric marwynWebFor this purpose, we introduce an optimal deep learning model for diagnosing olive leaf diseases. This approach is based on an adaptive genetic algorithm for selecting optimal … convert pinyin to chineseWeb, The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data, Soil 6 (2) (2024) 565 – 578. Google Scholar falric\\u0027s wrist-chopper