149 results for “Plant Leaf”

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Research ArticleOpen accessPhrase in the titleA Backward Regressed Capsule Neural Network for Plant Leaf Disease DetectionJennifer Jepkoech, Benson Kipkemboi Kenduiywo, David Muchangi Mugo, Edna Chebet ToolThis study investigated the introduction ofbackward regression coupled with DenseNet features in a Capsule Neural Network(CapsNet) for plant leaf disease classification. Plant diseases are consideredone of the main factors influencing food production and therefore fast cropdisease detection and recognition are important in enhancing food securityinterventions. CapsNets have successfully been adopted for plant leaf diseaseclassification however, backpropagation of signals to preceding … …Journal of Computer Science, Vol. 18, Issue 9 · 8 Sep 2022 · 5,718 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleDetection of Plant Leaf Diseases Using K‒mean++ Intermeans Thresholding AlgorithmKittipol Wisaeng, Worawat Sa–NgiamviboolIn the field of agricultural information, the plant leaf disease detection is highly important for both farmer life and environment. To improve the accuracy of plant leaf disease detection and reduce the image processing time, the improved K‒mean++ clustering and intermeans thresholding method are proposed in this study. The proposed algorithms are used for training and testing diseases in plant … …Journal of Computer Science, Vol. 16, Issue 9 · 21 Sep 2020 · 6,750 accessesView PDF Cite

Research ArticleOpen accessPhrase in the titleDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,219 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleLeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image DatasetEmmanuel Adetiba et al.Plants are very important living organisms on earth because humans and animals depend on them for nutrition, oxygen, medicine and balance in the ecosystem. Therefore, plant species recognition is critical to the improvement of agricultural productivity, mitigation of climate change and the discovery of new medicinal plants. However, species recognition has remained a difficult task even for trained botanists, because … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 7,956 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleLEAF FEATURES EXTRACTION AND RECOGNITION APPROACHES TO CLASSIFY PLANTMohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib, Illiasaak AhmadPlant classification based on leaf identification is becoming a popular trend. Each leaf carries substantial information that can be used to identify and classify the origin or the type of plant. In medical perspective, images have been used by doctors to diagnose diseases and this method has been proven reliable for years. Using the same method as doctors, researchers try … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 7,362 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleSuppression of Bipolaris Leaf Blotch and Improvement of Wheat Growth by Plant Growth Promoting Rhizobacteria BacilliFarzana Zerin Eivy, Md. Tanbir Rubayet, Umakanta Sarkar, Md. Motaher HossainBipolaris leaf blotch, induced by Bipolaris sorokiniana, poses a notable risk to wheat cultivation, resulting in considerable annual declines in yield. Plant Growth-Promoting Rhizobacteria (PGPR) are acknowledged for their colonization of the wheat rhizosphere and provision of various advantages to plants, including disease control and improved growth. This investigation seeks to explore the feasibility of utilizing PGPR strains as a … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 12 Mar 2024 · 6,637 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titlePLANT RECOGNITION USING STEREO LEAF IMAGE USING GRAY-LEVEL CO-OCCURRENCE MATRIXHermawan Syahputra, Agus Harjoko, Retantyo Wardoyo, Reza PulunganAdequate knowledge, such as information about the unique characteristics of each plant, is necessary to identify plant. Researchers have made plant recognition based on leaf characteristics. The leaf image-based plant recognition in view of different angles is a new challenge. In this study, the research on the plant recognition was conducted based on leaf images resulted from 3D stereo camera. … …Journal of Computer Science, Vol. 10, Issue 4 · 24 Dec 2013 · 8,116 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEvaluation of Leaf Total Nitrogen Content for Nitrogen Management in a Malaysian Paddy Field by Using Soil Plant Analysis Development Chlorophyll MeterA. Gholizadeh, M. S. M. Amin, A. R. Anuar, W. AimrunProblem statement: Laboratory plant testing is usually time-consuming and high-costing. Hence, plant nutrient variability must be measured rapidly and the information made known to the farmers before the new season starts. Site-specific crop management, well-established in some developed countries, is now being considered in other places such as Malaysia. Approach: The application of site-specific management principles and techniques to diverse … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 4 · 31 Dec 2009 · 9,238 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEvaluating Plant Species Diversity and Physiographical Factors in Natural Broad Leaf ForestSeyed Armin HashemiProblem statement: Species diversity is one of the most important specifications of biological societies. Diversity of organisms, measurement of variety and examination of those hypotheses that are about reasons of diversity are such as affairs that have been desired by the ecologists for a long time. Approach: In this research, diversity of plant species in forest region, numbers of 60 … …American Journal of Environmental Sciences, Vol. 6, Issue 1 · 28 Feb 2010 · 7,609 accessesView PDF Cite