21 results for “Leaf Features”

Set a search alert

Research ArticleOpen accessIn the abstractA 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 · 5,720 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMulti-Feature Recognition of Healthy Vegetable Seedlings Based on Machine Vision TechnologyKaikang Chen, Yongkun Fu, Yongjun Zheng et al.The quality of potted seedlings has an important influence on the yield of vegetables during seedling raising and transplanting. The inconsistency of potted seedlings after transplanting is the main factor causing the decline in vegetable quality and yield. To eliminate or reduce this influence, the health test of potted vegetable seedlings before transplanting is particularly important to ensure crop yield. … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 11 Apr 2022 · 6,248 accessesView PDF Cite

Review ArticleOpen accessIn the abstractComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,413 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEarly Detection and Classification Approach for Plant Diseases based on MultiScale Image DecompositionAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabThis paper presents a new and powerful approach for detecting and classifying leaf diseases for plant diagnosis with high accuracy. The main contribution of this paper is that a hybrid approach is proposed by using the combination of Partial Differential Equations (PDE) based image decomposition, segmentation, feature extraction, features selection and classification aiming to improve the classification accuracy and provide … …Journal of Computer Science, Vol. 17, Issue 3 · 25 Mar 2021 · 7,212 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparison of Anatomical Characteristics and Phytochemical Components Between Two Species of Hedysarum (Fabaceae)Adil Kusmangazinov, Meruyert Sakenovna Kurmanbayeva, Irina Zharkova et al.Hedysarum L. is one of the large genus of the Fabaceae Lindl. family, consisting of 200 species. Species in the genus Hedysarum are valuable forage and medicinal resources. In this study, we studied Hedysarum theinum Krasnob and Hedysarum neglectum Ledeb growing in the western Altai of Eastern Kazakhstan. H. theinum is a perennial, herbaceous, valuable medicinal plant, a rare species, … …OnLine Journal of Biological Sciences, Vol. 23, Issue 3 · 14 Jun 2023 · 5,837 accessesView PDF Cite

Research ArticleOpen accessIn the abstractTrace of Salinity of Sodium Chloride with Outcome on Enhancement Features of HerbageSona Pazdar, Saeid Eslamian, Kaveh Ostad-Ali-Askari et al.Salinity has a variety of salts, one of which is salinity of sodium chloride. Different plants react differently to salinity and their performance will vary according to their resistance, which after all the treatments, chlorophyll was measured. Depend on the outcomes of salinity consequences on native herbage; herbage features such as relative chlorophyll and chlorophyll fluorescence were decreased. Also, salinity … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 26 Jun 2019 · 7,044 accessesView PDF Cite

InvestigationOpen accessIn the abstractMorphology, Anatomy, Chlorogenic Acid Content and Antioxidant Capacity of Xanthium strumarium L. and Xanthium spinosum L.Dinara Abdikhaliyevna Aldibekova, Murat Kizaibek, Mahaya Aisijiang et al.In this study, the morphological, anatomical features, chlorogenic acid content and antioxidant activities of two species from the genus Xanthium, namely Xanthium spinosum L. growing in the slopes of Mount Daubaba in the western part of the Talas Alatau of Tyulkibas region of the South Kazakhstan region and Xanthium strumarium L. growing in the slopes of the Alma-Arasan gorge of … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 23 May 2018 · 8,116 accessesView PDF Cite

Research ArticleOpen accessIn the abstractRecent Progress in Self-Cleaning Materials with Different Suitable ApplicationsSiavash Hosseinpour Chermahini, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghSelf-cleaning properties have received significant attention for the importance of their potential. Coatings at Nano-scales offer possibilities of using materials for self-cleaning surfaces. Recent efforts have begun to focus on the kinds of materials including metals, semiconductors and polymers. Such materials can have enormous potential in only a few applications. Moreover, the production of these materials requires high costs with … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 25 Apr 2018 · 9,140 accessesView PDF Cite

Review ArticleOpen accessIn the abstractMedicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper ReviewStephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah, Yaw Marfo MissahComputer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and agriculture. This has essentially generated a zeal in creating automated systems for the identification of diverse species of plants. This study reviewed plant species classification relying on leaf textural … …Journal of Computer Science, Vol. 17, Issue 12 · 24 Dec 2021 · 7,826 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPLANT 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 · 8,119 accessesView PDF Cite