Relevant bibliographies by topics / Diseased and Healthy leaf

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Diseased and Healthy leaf'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Diseased and Healthy leaf"

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Jadhav, Sachin B., Vishwanath R. Udup, and Sanjay B. Patil. "Soybean leaf disease detection and severity measurement using multiclass SVM and KNN classifier." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4077. http://dx.doi.org/10.11591/ijece.v9i5.pp4077-4091.

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Soybean fungal diseases such as Blight, Frogeye leaf spot and Brown Spot are a significant threat to soybean plant due to the severe symptoms and lack of treatments. Traditional diagnosis of the thease diseases relies on disease symptom identification based on neaked eye observation by pathalogiest, which can lead to a high rate of false-recognition. This work present a novel system, utilizing multiclass support vector machine and KNN classifiers, for detection and classification of soybean diseases using color images of diseased leaf samples. Images of healthy and diseased leaves affected by
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Sachin, B. Jadhav, R. Udupi Vishwanath, and B. Patil Sanjay. "Soybean leaf disease detection and severity measurement using multiclass SVM and KNN classifier." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4077–91. https://doi.org/10.11591/ijece.v9i5.pp4077-4091.

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Soybean fungal diseases such as Blight, Frogeye leaf spot and Brown Spot are a significant threat to soybean plant due to the severe symptoms and lack of treatments. Traditional diagnosis of the thease diseases relies on disease symptom identification based on neaked eye observation by pathalogiest, which can lead to a high rate of false-recognition. This work presents a novel system, utilizing multiclass support vector machine and KNN classifiers, for detection and classification of soybean diseases using color images of diseased leaf samples. Images of healthy and diseased leaves affected by
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Natesan, Balaji, Anandakumar Singaravelan, Jia-Lien Hsu, Yi-Hsien Lin, Baiying Lei, and Chuan-Ming Liu. "Channel–Spatial Segmentation Network for Classifying Leaf Diseases." Agriculture 12, no. 11 (2022): 1886. http://dx.doi.org/10.3390/agriculture12111886.

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Agriculture is an important resource for the global economy, while plant disease causes devastating yield loss. To control plant disease, every country around the world spends trillions of dollars on disease management. Some of the recent solutions are based on the utilization of computer vision techniques in plant science which helps to monitor crop industries such as tomato, maize, grape, citrus, potato and cassava, and other crops. The attention-based CNN network has become effective in plant disease prediction. However, existing approaches are less precise in detecting minute-scale disease
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Rehman, Asad, Yasir Iftikhar, Mustansar Mubeen, Muhammad Ahmad Zeshan, Ashara Sajid, and Aqleem Abbas. "EFFECT OF GUMMOSIS CAUSED BY PHYTOPHTHORA SPP. ON LEAF AREA AND TRUNK SIZE OF CITRUS IN DISTRICT SARGODHA, PAKISTAN." Plant Protection 6, no. 1 (2022): 1–9. http://dx.doi.org/10.33804/pp.006.01.4017.

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Gummosis disease of citrus, caused by Phytophthora spp. is one of the most devastating diseases of citrus in Pakistan. Considering the menace of this disease, the present study was conducted to determine the disease incidence and its effect on the trunk size and leaf area of affected plants. A comprehensive survey was conducted in 75 citrus orchards in 3 tehsils (Sargodha, Bhalwal, and Kot Momin) of the district Sargodha for the prevalence of the disease. The diseased plants were marked from each orchard, trunk size was measured and leaf area was recorded using leaf area meter. The leaves from
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Kumar, Raj. "Smart Plantation Forecasting and Prevention of Plant Disease." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47409.

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Abstract— Crop diseases are a noteworthy risk to sustenance security, however their quick distinguishing proof stays troublesome in numerous parts of the world because of the non attendance of the important foundation. Emergence of accurate techniques in the field of leaf-based image classification has shown impressive results. This paper makes use of Random Forest in identifying between healthy and diseased leaf from the data sets created. Our proposed paper includes various phases of implementation namely dataset creation, feature extraction, training the classifier and classification. The c
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Y, Mrs Swathi. "PLANT DISEASE DETECTION USING DEEP LEARNING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31443.

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Crop diseases pose a significant threat to food security, but their timely detection is challenging in many regions due to a lack of necessary infrastructure. Recent advancements in leaf-based image classification have yielded promising outcomes. This study leverages Random Forest to differentiate between healthy and diseased leaves using newly created datasets. The proposed methodology includes dataset generation, feature extraction, classifier training, and image classification. Diseased and healthy leaf datasets are collectively trained using Random Forest for accurate classification. Featu
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Nadeem, A., T. Mehmood, M. Tahir, S. Khalid, and Z. Xiong. "First Report of Papaya Leaf Curl Disease in Pakistan." Plant Disease 81, no. 11 (1997): 1333. http://dx.doi.org/10.1094/pdis.1997.81.11.1333b.

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Papaya plants with virus-disease-like symptoms were observed in back yards and commercial groves in Multan, Pakistan. Leaves of the diseased plants displayed downward curling and thickened, dark green veins. Leaf-like enations grew from the base of the diseased leaves. These symptoms are similar to those of cotton leaf curl disease. In addition, diseased papayas were stunted and distorted. Leaf extracts from 3 diseased and 2 healthy papayas were tested in enzyme-linked immunosorbent assay against antibodies to geminiviruses. SCRI-52 and SCRI-60, two monoclonal antibodies to Indian cassava mosa
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Parrella, Rafael Augusto da Costa, João Bosco dos Santos, Nádia Nardely Lacerda Durães Parrella, and Diego Velásquez Faleiro e. Silva. "Evaluation efficiency of severity of angular leaf spot in common bean based on diseased and healthy leaf area." Crop Breeding and Applied Biotechnology 13, no. 3 (2013): 178–85. http://dx.doi.org/10.1590/s1984-70332013000300005.

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This study compared severity of angular leaf spot in common bean lines, based on the healthy and diseased leaf area, and the graded scale. We used 12 common bean lines in the dry and rainy seasons. Two contiguous experiments were conducted in each season, with and without chemical control of the pathogen. We evaluated the percentage of the healthy and diseased leaf area; severity based on a graded scale and the area under the disease progress curve; and yield. The diseased or healthy leaf area is efficient to evaluate the severity of angular leaf spot with a sample of 20 to 30 leaflets per plo
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Mohana Priya. C, Et al. "Customized Semantic Segmentation for Enhanced Disease Detection of Maize Leaf Images." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11 (2023): 31–37. http://dx.doi.org/10.17762/ijritcc.v11i11.9074.

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Maize leaf images are affected by various diseases. Though many image processing techniques are available to identify diseased segment of a diseased maize leaf image proper methodology to segment every chunk in the leaf as disease, shadow, healthy and background using a single methodology is still in search of. So, a single line of attack is availed using Semantic Segmentation for diseased maize Leaf images through which every pixel in an image is equated to a class. Initially multiple classes in the maize leaf images are Labeled and trained. ImagedataStore and PixelLabelDatastore are used to
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Akhalifi, Yuris, and Agus Subekti. "Bell Pepper Leaf Disease Classification Using Fine-Tuned Transfer Learning." Jurnal Elektronika dan Telekomunikasi 23, no. 1 (2023): 55. http://dx.doi.org/10.55981/jet.546.

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Leaf diseases of plants are common worldwide. Using image processing, farmers could spot diseases in pepper plants more rapidly and get advice from plant disease experts. In this paper, researchers developed a Transfer Learning classification model for bell pepper leaf disease, with the Transfer Learning model trained on images of healthy and diseased bell pepper leaves. Classification of healthy and diseased bell pepper leaves has been carried out, and fine-tuned Transfer Learning has been applied using several pre-trained CNN models. To achieve the best outcome, four pre-trained models, incl
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Dissertations / Theses on the topic "Diseased and Healthy leaf"

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Choudhury, Nusrat Zabeen. "Characterization of healthy and diseased human ascending aorta tissue." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83857.

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Little information is available on the structure or mechanical properties of the human ascending aorta (AA). Most studies to date have assumed homogeneous tissue mechanical properties. The objective of this study was to investigate the local variation in AA tissue structure and mechanics. Healthy and pathologic tissue samples of human AA were obtained at autopsy and surgical pathology. Each aortic ring was sectioned into quadrants; anterior, posterior, medial (inner curvature) and lateral (outer curvature). Samples from each quadrant were processed for histological analysis and biaxial
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Rantonen, Panu. "Salivary flow and composition in healthy and diseased adults." Helsinki : University of Helsinki, 2003. http://ethesis.helsinki.fi/julkaisut/laa/hamma/vk/rantonen/.

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Wendt, Lauren. "Effects of DRP-1 Inhibitors in Healthy and Diseased Myocardium." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/370296.

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Coronary heart disease (CHD) continues to be one of the foremost contributors to morbidity and mortality in developed countries. Leading risk factors that include elevated blood pressure, hypercholesterolaemia, tobacco use, sedentary lifestyles and excess caloric consumption significantly contribute to these alarmingly high mortality rates and prompt the search for targeted interventions that are clinically effective. Myocardial ischaemia, occurring in ischaemic heart disease (IHD) or during cardiac surgery, reduces coronary blood flow to the metabolically active myocardium – the former primar
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Gibson, Gillian. "Analysis of neuronal sub-populations in healthy and diseased human colon." Thesis, Glasgow Caledonian University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443154.

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Petsophonsakul, Petnoi. "Hippocampal plasticity underlying learning and memory processes in healthy and diseased conditions." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30009.

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Les expériences qui jalonnent la vie favorisent la survenue de modifications cérébrales durables et pouvant impacter les fonctions cognitives, ainsi que le développement de troubles cérébraux. L'hippocampe est une structure cérébrale qui joue un rôle essentiel dans l'apprentissage et la mémoire. Dans la première étude, nous avons montré comment l'activité neuronale sous-tendant les processus de la mémoire influence fortement l'intégration des nouveaux neurones hippocampiques dans le cerveau adulte, suggérant une modulation durable de la fonction hippocampique. Dans la deuxième étude, nous avon
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Lilliehöök, Inger. "Studies of blood eosinophil and neutrophil granulocytes in healthy and diseased dogs /." Uppsala : Swedish Univ. of Agricultural Sciences (Sveriges lantbruksuniv.), 1999. http://epsilon.slu.se/avh/1999/91-576-5409-3.pdf.

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Cardone-Noott, Louie. "A computational investigation of the electrocardiogram with healthy and diseased human ventricles." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:6d1521dc-e490-40c3-97ac-86fa54bf570e.

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Cardiovascular diseases are the leading cause of death worldwide, and are estimated to kill over 17 million people each year, about 31% of all deaths. In the clinic, the first diagnostic procedure for a suspected cardiac abnormality is often acquisition of an electrocardiogram (ECG), which measures the electrical potential of the heart at the body surface. Understanding the mechanisms underlying generation of the ECG waveforms is crucial for optimal clinical benefit. Computer simulations possess several strengths as a tool to gain this understanding, particularly in terms of human-specificity,
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Buttery, Lee David Keith. "Nitric oxide synthase isoenzymes in healthy and diseased mammalian tissues : an immunochemical study." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363056.

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Ja'Afar, Fairuzeta. "Microbubble adhesion to healthy and diseased vascular cells : the role of surface charge." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/44954.

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Medical ultrasound (US) imaging is an established and powerful tool for diagnostic imaging. Combined with contrast enhancing agents called microbubbles, its imaging performance has been improved, as well as offering a potential tool for molecular imaging and targeted drug delivery and therapeutics. Microbubbles (MBs) consist of micron-sized, inert gas cores stabilised by a lipid monolayer or protein and suspended in aqueous dispersion. These non-targeted blood perfusion agents were found to persist in circulation, sticking to sites of inflammation or injury in the vasculature. This non-targete
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Hooper, Justin Shane. "Cardiovascular Effects Evoked by Airway Nociceptive Reflexes in Healthy and Cardiovascular Diseased Rats." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6258.

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Acute inhalation of airborne pollutants alters cardiovascular function and has been shown to have its greatest affects on individuals with pre-existing cardiovascular disease. Evidence suggests that pollutant-induced activation of airway sensory nerves via the gating of ion channels is critical to these systemic responses. Here, we have investigated the cardiovascular responses evoked by inhalation of AITC (TRPA1 agonist) and capsaicin (TRPV1 agonist) in healthy Sprague Dawley (SD) and Wistar Kyoto (WKY) rats, and cardiovascular diseased Spontaneously Hypertensive (SH) rats. Inhalation of the
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Books on the topic "Diseased and Healthy leaf"

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Reichenbach, Andreas. Müller cells in the healthy and diseased retina. Springer, 2010.

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Reichenbach, Andreas, and Andreas Bringmann. Müller Cells in the Healthy and Diseased Retina. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1672-3.

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Pierre, Lekeux, ed. Pulmonary function in healthy, exercising and diseased animals. Vlaams Diergeneeskundig Tijdschrift, 1993.

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Suki, Béla, and Jason H. T. Bates. Mathematical Modeling of the Healthy and Diseased Lung. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-95322-4.

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Jože, Trontelj, and Stålberg Erik, eds. Single fiber electromyography: Studies in healthy and diseased muscle. 2nd ed. Raven Press, 1994.

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Washington (State). Safety and Health Assessment and Research Program., ed. Safety and Health Assessment and Research Program occupational lead poisoning study: Data analysis summary. The Program, 1990.

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National Center for Environmental Research (U.S.) and ICF International (Firm), eds. A decade of children's environmental health research: Highlights from EPA's Science to Achieve Results program. U.S. Environmental Protection Agency, Office of Research and Development, [National Center for Environmental Research, 2007.

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Peterson, C. M. The diabetes self-care method: The breakthrough program of self-management that will help you lead a healthier life. 3rd ed. Lowell House, 1998.

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Washington (State). Safety and Health Assessment and Research for Prevention., ed. How to avoid lead poisoning in bridge repair work: A fact sheet for bridge workers. Dept. of Labor and Industries, Safety & Health Assessment & Research for Prevention, 2000.

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Peterson, C. M. The diabetes self-care method: The breakthrough program of self-management that will help you lead a better, freer, more normal life. Lowell House, 1990.

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Book chapters on the topic "Diseased and Healthy leaf"

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Kabir, Masud, and Sami Ekici. "Evaluation of State-of-the-Art Models for Advancing Plant Disease Diagnosis Through Deep Learning: A Sustainable Approach." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_2.

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Abstract In the quest for more food production to feed the booming population of the modern world, maintaining plant health is critical to ensuring global food security. In this regard, one important field of study is the early and precise identification of plant diseases. Artificial intelligence (AI) and deep learning approaches, in particular, have demonstrated encouraging advances in this subject in recent years. Using the “A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology” dataset, this study explores the use of deep learning-based methods for the diagnosi
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Padmanabhuni, Sri Silpa, Pradeepini Gera, and A. Mallikarjuna Reddy. "Hybrid Leaf Generative Adversarial Networks Scheme for Classification of Tomato Leaves—Early Blight Disease Healthy." In Advancement of Deep Learning and its Applications in Object Detection and Recognition. River Publishers, 2023. http://dx.doi.org/10.1201/9781003393658-13.

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Ruth, Matthias, and Bruce Hannon. "Diseased and Healthy Immigrating Insects." In Modeling Dynamic Biological Systems. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_31.

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Hannon, Bruce, and Matthias Ruth. "Diseased and Healthy Immigrating Insects." In Modeling Dynamic Biological Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9_33.

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Vishunavat, Karuna, Kuppusami Prabakar, and Theerthagiri Anand. "Seed Health: Testing and Management." In Seed Science and Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5888-5_14.

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AbstractHealthy seeds play an important role in growing a healthy crop. Seed health testing is performed by detecting the presence or absence of insect infestation and seed-borne diseases caused by fungi, bacteria, and viruses. The most detrimental effect of seed-borne pathogens is the contamination of previously disease-free areas and the spread of new diseases. Sowing contaminated or infected seeds not only spreads pathogens but can also reduce yields significantly by 15–90%. Some of the major seed-borne diseases affecting yield in cereals, oilseeds, legumes, and vegetables, particularly in
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Chen, Haodong, Emma Monte, Thomas M. Vondriska, and Sarah Franklin. "Systems Proteomics of Healthy and Diseased Chromatin." In Methods in Molecular Biology. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-386-2_7.

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Reichenbach, Andreas, and Andreas Bringmann. "Müller Cells in the Diseased Retina." In Müller Cells in the Healthy and Diseased Retina. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1672-3_3.

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Bado, Souleymane, Fatemeh Maghuly, Vitor Varzea, and Margit Laimer. "Mutagenesis of in vitro explants of Coffea spp. to induce fungal resistance." In Mutation breeding, genetic diversity and crop adaptation to climate change. CABI, 2021. http://dx.doi.org/10.1079/9781789249095.0036.

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Abstract Coffee is one of the most valuable commodity tree crops worldwide. However, it suffers from several devastating diseases and pests, for example coffee leaf rust and coffee berry borer, whose impact is being amplified by changing climatic conditions. Development of new adapted varieties remains a laborious effort by conventional breeding due to the long juvenile period in tree crops. Plant cell/tissue culture represents the ultimate method to produce large amounts of true-to-type healthy plants and of explants for mutation breeding. In fact, mutation induction combined with in vitro ce
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Chen, Kuifan, Zhao Zhang, Azizi Afshin, and Yunxia Li. "Corn Diseased Leaf Segmentation Under Different Illumination Conditions." In Smart Agriculture. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4141-0_3.

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Reichenbach, Andreas, and Andreas Bringmann. "Müller Cells in the Healthy Retina." In Müller Cells in the Healthy and Diseased Retina. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-1672-3_2.

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Conference papers on the topic "Diseased and Healthy leaf"

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Kumar, E. Sudheer, Aakash Kumar, Harsha Vardhan, Rajaratnam Prasanth, and Pindi Punith Sai. "Classification of Healthy and Unhealthy Leaf Disease Using Modified MobileNetV2." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810763.

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Sharma, Jatin. "Enhanced Rose Leaf Disease Classification Using Vision Transformer (ViT-B/16) Detecting Black Spot, Downy Mildew, and Healthy Leaves for Improved Plant Health Management." In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). IEEE, 2024. https://doi.org/10.1109/icdici62993.2024.10810822.

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Tian, Bin, Jiangjun Xiong, and Hanyu Hong. "A Method for Data Augmentation of Diseased Leaf Detection." In 2024 3rd International Conference on Artificial Intelligence and Computer Information Technology (AICIT). IEEE, 2024. http://dx.doi.org/10.1109/aicit62434.2024.10730025.

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Pandiyan, Vimal. "Assessment of Retinal Structure and Function in Healthy and Diseased Eyes Using Optoretinography." In Optical Coherence Tomography. Optica Publishing Group, 2024. https://doi.org/10.1364/oct.2024.cs3e.1.

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This talk will present the development and application of high-speed line-scan OCT for measuring retinal structure and function in healthy eyes and those with inherited retinal degenerative disease. Full-text article not available; see video presentation
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Bhoomika and Goldy Verma. "Advancing Tomato Crop Health: A CNN Approach to Leaf Disease Detection." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10801150.

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Limsuriwong, Jirapa, Anne-Mette Meijburg, Freja Høier, Peter E. Andersen, and Madhu Veettikazhy. "Label-Free Two-photon Lightsheet Fluorescence Microscopy for Differentiating Healthy and Diseased Animal Colon Tissue." In British and Irish Conference on Optics and Photonics. Optica Publishing Group, 2024. https://doi.org/10.1364/bicop.2024.th3b.2.

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We explore the potential of label-free two-photon lightsheet fluorescence microscopy to detect colorectal diseases. Distinguishing healthy from Staphylococcus epidermidis infected porcine colon tissues using lightsheet imaging is benchmarked against gold-standard two-photon point-scanning microscopy and histology.
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Pattar, Simran, Khushmeet K. Dhaliwal, Zichael Labomarel, and Kostadinka Bizheva. "Combined OCT+ERG system for imaging neurovascular coupling in the healthy and diseased rodent retina." In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIX, edited by Rainer A. Leitgeb and Yoshiaki Yasuno. SPIE, 2025. https://doi.org/10.1117/12.3043204.

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Sonkar, Aakash, Sachin Mishra, and Aakansha Sharma. "Automated Detection and Classification of Medicinal Plant Leaf Diseases using CNNs." In 2025 International Conference on Ambient Intelligence in Health Care (ICAIHC). IEEE, 2025. https://doi.org/10.1109/icaihc64101.2025.10956946.

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Jothi, M., and T. Veeramakali. "Next-Gen Plant Health Monitoring: Leaf Disease Diagnosis Using Deep Learning Techniques." In 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). IEEE, 2025. https://doi.org/10.1109/iccrtee64519.2025.11053121.

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Kumar Prusty, Ch Atul, Aditya Patra, Ashutosh Kumar Ranjan, Ritik Kumar, and Abhishek Das. "Plant Disease Detection from Leaf Images Utilizing Ensemble Convolutional Neural Network." In 2025 International Conference on Ambient Intelligence in Health Care (ICAIHC). IEEE, 2025. https://doi.org/10.1109/icaihc64101.2025.10957489.

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Reports on the topic "Diseased and Healthy leaf"

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Petrova, Nadezhda, Stefan Sivkov, Emilia Andreenko, Angel Dzhambov, and Tihomir Vachev. Finger Ridge Count and Fluctuating Asymmetry in Healthy and Mentally Diseased Bulgarians. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2021. http://dx.doi.org/10.7546/crabs.2021.10.15.

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Gonsalves, Dennis, and Edna Tanne. Isolation and Characterization of Closterovirus-Like Particles Associated with Leaf Roll Diseased Grapevines from Different Geographic Regions. United States Department of Agriculture, 1986. http://dx.doi.org/10.32747/1986.7566865.bard.

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Bacharach, Eran, W. Ian Lipkin, and Avigdor Eldar. Identification of the etiological agent of tilapia disease in the Lake of Galillee. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7597932.bard.

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Background to the topic. Tilapines serve as the second most important group of farmed fish worldwide. Massive mortality of wild and cultured tilapia has been observed recently in Israel but the pathogen of this disease has not been identified. We proposed to identify the agent responsible for disease.  Major conclusions, solutions, achievements. We characterized the lesions in diseased fish and found that the brain was one of the affected organs. We found conditions to isolate from brains of diseased fish the etiological agent of the tilapia disease and to propagate it in cell culture. This l
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Frieson, Kate Grace. A Gender Assessment of SEACFMD 2020: A Roadmap to Prevent, Control and Eradicate foot and mouth disease (by 2020) in Southeast Asia and China. O.I.E (World Organisation for Animal Health), 2013. http://dx.doi.org/10.20506/standz.2785.

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This gender assessment of SEACFMD 2020: A Roadmap to Prevent, Control and Eradicate foot and mouth disease (by 2020) in Southeast Asia and China, responds to the requirement of AusAID that all strategies affecting human health, food security and poverty alleviation incorporate a gender perspective as women are not often included in the technical and community based aspects of programs relating to animal health and disease control. Gender roles and responsibilities affect women’s and men’s ability and incentive to participate in FMD roadmap activities, and can potentially lead to different proj
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Kelly, Luke. Characteristics of Global Health Diplomacy. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2021.09.

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This rapid review focuses on Global Health Diplomacy and defines it as a method of interaction between the different stakeholders of the public health sector in a bid to promote representation, cooperation, promotion of the right to health and improvement of health systems for vulnerable populations on a global scale. It is the link between health and international relations. GHD has various actors including states, intergovernmental organizations, private companies, public-private partnerships and non-governmental organizations. Foreign policies can be integrated into national health in vario
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Zhang, Yu, Chaoliang Sun, Hengxi Xu, et al. Connectivity-Based Subtyping of De Novo Parkinson Disease: Biomarkers, Medication Effects and Longitudinal Progression. Progress in Neurobiology, 2024. http://dx.doi.org/10.60124/j.pneuro.2024.10.04.

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Parkinson's disease (PD) is characterized by divergent clinical symptoms and prognosis, suggesting the presence of distinct subtypes. Identifying these subtypes is crucial for understanding the underlying pathophysiology, predicting disease progression, and developing personalized treatments. In this study, we propose a connectivity-based subtyping approach, which measures each patient's deviation from the reference structural covariance networks established in healthy controls. Using data from the Parkinson's Progression Markers Initiative, we identified two distinct subtypes of de novo PD pa
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Vantassel, Stephen M., and Mark A. Klng. Wildlife Carcass Disposal. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, 2018. http://dx.doi.org/10.32747/2018.7207733.ws.

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Many wildlife management situations require the disposal of animal carcasses. These can include the lethal removal of wildlife to resolve damage or conflicts, as well as clean-up after mortalities caused by vehicle collisions, disease, oil spills or other natural disasters. Carcasses must be disposed of properly to protect public sensitivities, the environment, and public health. Improper disposal of carcasses can result in public outrage, site contamination, injury to animals and people, and the attraction of other animals that may lead to wildlife damage issues. Concern over ground water con
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8

Wang, Ying yuan, Zechang Chen, Luxin Zhang, et al. A systematic review and network meta-analysis: Role of SNPs in predicting breast carcinoma risk. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0092.

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Review question / Objective: P: Breast cancer patient; I: Single nucleotide polymorphisms associated with breast cancer risk; C: Healthy person; O: By comparing the proportion of SNP mutations in the tumor group and the control group, the effect of BREAST cancer risk-related SNP was investigated; S: Case-control study. Condition being studied: Breast cancer (BC) is one of the most common cancers among women, and its morbidity and mortality have continued to increase worldwide in recent years, reflecting the strong invasiveness and metastasis characteristics of this cancer. BC is a complex dise
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Hirankarn, Nattiya, Tanapat Palaga, Yingyos Avihingsanon, and Pimpayao Sodsai. The characterization of the two new genes, PTGS2 and PSN2 involving in the T lymphocyte apoptosis of lupus patients: Role of genetic polymorphism and epigenetic alteration. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.28.

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Systemic lupus erthematosus (SLE) is a prototype of autoimmune disease characterized by tissue deposition of autoantibody immune complex formation. However, etiology of disease remains unclarified. Defects of T lymphocytes lead to loss of immunological tolerance and support autoantibody production suggested that they may consistently have a central role in pathogenesis of SLE. Notch signaling is an evolutionarily conserved pathway responsible for thymocyte development, activation, proliferation, differentiation and T cell functions. Several evidences suggest Notch signaling involvement in auto
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Shpigel, Nahum, Raul Barletta, Ilan Rosenshine, and Marcelo Chaffer. Identification and characterization of Mycobacterium paratuberculosis virulence genes expressed in vivo by negative selection. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7696510.bard.

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Mycobacterium avium subsp. paratuberculosis (MAP) is the etiological agent of a severe inflammatory bowel disease (IBD) in ruminants, known as Johne’s disease or paratuberculosis. Johne’s disease is considered to be one of the most serious diseases affecting dairy cattle both in Israel and worldwide. Heavy economic losses are incurred by dairy farmers due to the severe effect of subclinical infection on milk production, fertility, lower disease resistance and early culling. Its influence in the United States alone is staggering, causing an estimated loss of $1.5 billion to the agriculture indu
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