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· Background Scanning electron microscopy (SEM) has been used for high-resolution imaging of plant cell surfaces for many decades. Most SEM imaging employs the secondary electron detector under high vacuum to provide pseudo-3D images of plant organs and especially of surface structures such as trichomes and stomatal
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· Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant stress symptoms, FluoCam FC800, to image Arabidopsis thaliana plants under drought stress []. The study deployed a variety of AI
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Paper Based Chipless RFID Leaf Wetness Detector for Plant
This paper presents the design and analysis of a paper-based chipless RFID sensor for wetness content measurement in plant leaves. The sensor is designed using a passive microwave resonator to measure the ambient physical parameter. The resonator is designed with a rectangular loop inductively coupled with an interdigital capacitor. The
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· An approach to create anomaly detectors for plants, such as the ones mentioned above, is based on the plant design. Hence, the plant was operated under normal operational condition for 1-hour and optimal values of the parameters discussed in
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· However, since 3D point cloud contains more information than plant images, in this paper, we compare the performance of different keypoint detectors and local feature descriptors combinations for
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GitHub-IshworMoktan/plant_disease_detector: Plant Disease Detector
Plant Disease Detector is a user-friendly Flutter app that utilizes machine learning to identify and diagnose diseases in plants. Capture or select plant images, and the app provides accurate disease identification, detailed
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Micromechanical Switch-Based Zero-Power Chemical Detectors for Plant
tions of detecting toluene, hexenol (cis-3-Hexen-1-ol, a chemical released from plants under attack by pests) and ethanol, respec- tively, with our fabricated prototypes.
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· Between February 2016 and March 2016, distillation and stripping pilot plants, under nitrogen atmosphere, were crated in a container and shipped to Shenzhen, China, by sea. One month later, they arrived at the Daya Bay laboratory.
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· Some examples of plants that can thrive under trees include shade-tolerant perennials like hostas, ferns, and heucheras. Additionally, ground cover options such as foam flowers, anemones, and lamium can be excellent choices. It’s also worth considering evergreen options like lungwort and wintergreen to maintain greenery
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Field cabbage detection and positioning system based on
20 · Therefore, YOLOv8n was selected and optimized to construct a detection model capable of quickly and accurately identifying cabbage targets in complex field
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:Artificial IntelligenceDeep LearningMachine LearningArtificial Neural Networks · Deep neural networks are simply mapping the input layer to the output layer over a series of stacked layers of nodes. The challenge is to create a deep network
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· Repeatability [] is a fundamental attribute of feature detectors, reflecting the ability of a feature detector to recognize the same features in an image under varying conditions. However, most works [ 30 , 31 , 32 ] calculate repeatability based on the Ground Truth correspondence between images, which poses a significant challenge in real-world
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· Plant Phenomics based on imaging based techniques can be used to monitor the health and the diseases of plants and crops. The use of 3D data for plant phenomics is a recent phenomenon. However, since 3D point cloud contains more information than plant
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:Publish Year:2021Artificial IntelligenceDeep Learning · This review focuses on the significance of the early detection of plant pathogens to avoid losses. The evolution of various techniques from visual scouting to
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The potential of proline as a key metabolite to design real-time plant water deficit and low-light stress detector in ornamental plants
grown under indoor conditions, with room temperature around 25–28 C and light intensity in the range of 10–15 μmol m−2 s −1 (14 h of light and 10 h of darkness). Each pot contained three plants and 500 g of commercial mixed soil (peat/soil; 1:1). Plants were
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· Plant disease detection can be difficult and time-consuming, especially in large fields or areas where it is difficult to access plants with human eyes. It typically involves looking at images of a plant and identifying the type or severity of the disease.
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Detecting Leaks in Power Generation Steam Condensers-Agilent
Finding the leaks in a power plant condenser presents several unique challenges. – Size: Power plants are massive facilities and it can be difficult to test when you cannot see the leak detector. – If the test is not performed properly leaks can be missed. – Sensitivity and response time can be adversely affected by plant piping and distance.
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· Detector locations In this work, two large-area (18 × 100 cm 2 detection area) boron-lined neutron detectors (heretofore referred to as BCS and B10+ detectors – see Methods section for details
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· A complete and novel approach to plant leaf disease detection is provided by combining YOLOv4, statistical regression, and remote sensing. The benefits of these methods can be connected to improving disease prediction and control in agriculture in terms of timeliness, accuracy, and efficiency.
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· Plant diseases pose a critical threat to global agricultural productivity, demanding timely detection for effective crop yield management. Traditional methods for disease identification are laborious and require specialised expertise. Leveraging cutting-edge deep learning algorithms, this study explores innovative approaches to plant
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Effector Identification in Plant Pathogens-PubMed
Abstract. Effectors play a central role in determining the outcome of plant-pathogen interactions. As key virulence proteins, effectors are collectively indispensable for disease development. By understanding the virulence mechanisms of effectors, fundamental knowledge of microbial pathogenesis and disease resistance have been revealed.
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· The best plants to grow under evergreen trees are shade-tolerant perennials and bulbs such as lenten roses, Japanese-painted ferns, and evergreen azaleas. Additionally, spring-flowering plants such as Virginia bluebells, wood lilies, barrenwort, and anemones can add vibrant color to the understory of evergreen trees.
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· However, mechanisms underlying temperature perception in plants are poorly understood. We studied the thermal plasticity of membrane fluidity using three fluorescent probes across a temperature range of −5 to 41 °C in isolated microsomal fraction (MF), vacuolar membrane (VM), and plasma membrane (PM) vesicles from Arabidopsis
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· According to experimental findings, the enhanced model exhibited a 6.46% rise in mean average precision (mAP) over the original model on the self-built vegetable disease detection dataset under
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· The reports on dissipation of aminopyralid in plants are scarce. Moreover, the reported half-lives of triclopyr in plants (e.g. pasture grass, sugar maple, and forest grass) are from 1 to 40 d, varying by species (Norris et
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· They can be embedded in a field cluttered with various materials and objects, buried underground at various depths, scattered on the surface, planted within buildings, or covered by plant overgrowth. Anti-personnel (AP) landmines and booby traps are typically shaped in the form of a disk or a cylinder, with diameters from 20 to 125
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· The vast majority of these studies have used multiple CNN frameworks in comparative experiments to determine which model is better at detecting the severity of a particular plant disease under the
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The potential of proline as a key metabolite to design real-time plant water deficit and low-light stress detector in ornamental plants
Nowadays, people are interested to use plants, especially air-purifying plants, in residential and other indoor settings to purify indoor air and increase the green area in the building. In this study, we investigated the effect of water deficit and low light intensity on the physiology and biochemistry of popular ornamental plants, including Sansevieria trifasciata, Episcia
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· Scanning electron microscopy (SEM) has been used for high-resolution imaging of plant cell surfaces for many decades. Most SEM imaging employs the secondary electron detector under high vacuum to provide pseudo-3D
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:Publish Year:2021Sensors (Basel). 2021 Mar; 21(6): 2129.Published:2021/03 · The increased losses in agriculture have drawn attention towards the development of miniaturized pathogen detection systems for phytopathology. This review
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