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59 results for “Leaf Disease”
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Research ArticleOpen accessIn the keywordsTransgenic Indian Cotton (Gossypium hirsutum) Harboring Rice Chitinase Gene (Chi II) Confers Resistance to Two Fungal PathogensM. Ganesan, P. Bhanumathi, K. Ganesh Kumari et al.Problem statement: The present investigation described a simple and reproducible protocol for transgenic cotton regeneration and characterization of chitinase (Chi II) gene expression against two different fungal pathogens in cotton. Approach: Transgenic cotton (Gossypium hirsutum cv. SVPR2) plants were produced by pCambia-bar-Chi II (13.8 kb) under the control of the CaMV 35S promoter, harbored in the strain LBA 4404 Agrobacterium … …American Journal of Biochemistry and Biotechnology, Vol. 5, Issue 2 · 30 Jun 2009 · 8,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Edge Efficient and Lightweight Hybrid CNN Vision Transformer Network With CBAM for IoT Based Plant Disease DetectionNyabeye Pangop Doris-Khöler, Kengni Ngangmo OlgaDetecting crop disease early enough to act on it remains a bottleneck for smallholder and precision farming alike, particularly when diagnosis depends on manual inspection or lab analysis that cannot keep pace with an outbreak. We present AgriViTNet, a compact CNN-Vision Transformer hybrid built for exactly this constraint: It extracts local texture cues through convolution, relates them across the whole … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 578 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Management and Fungicide Efficacy of Foliar Diseases in Spring Wheat in KazakhstanNadira Sultanova, Yerlan Dutbayev, Gulzada Abisheva et al.Spring wheat (Triticum aestivum L.) is a key economic crop in Kazakhstan. This study aimed to identify genetic sources conferring resistance to major foliar diseases and to quantify the contribution of fungicide application to yield stability. Field experiments conducted in 2024 assessed the resistance of 36 spring wheat genotypes, 17 common wheat and 19 durum wheat (T. durum Desf.), to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 17 Jul 2026 · 961 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation and Performance Evaluation of YOLOv8 for Wheat Fungal Disease DetectionShivani Sood, Shallu Duggal, Monika Sethi et al.Among the many difficulties in producing wheat, a vital food source for the world, there are biotic variables like fungal diseases, which drastically lower crop output. Around the world, biotrophic fungi particularly, leaf rust, powdery mildew, and yellow rusts-have become a constant threat to wheat production. Traditional methods of identification and mitigation are labor-intensive, slow, and imprecise, limiting therefore early … …Journal of Computer Science, Vol. 22, Issue 4 · 2 May 2026 · 1,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomating Paddy Crop Disease Classification With Deep Learning ModelsShiva Shankar J, S. Palanivel, S. China VenkateswarluRice is a staple food crop for more than 10 countries. High consumption of rice demands better yield of crop. Timely disease diagnosis in paddy is fundamental to preventing yield losses and ensuring an adequate supply of rice for a rapidly rising worldwide population. Agriculture and modern farming is one of the fields where IoT and automation can have a … …Journal of Computer Science, Vol. 21, Issue 8 · 1 Sep 2025 · 5,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Impact of Di-2-Ethylhexyl Phthalate (DEHP) in Focus on the Reproductive System and Toxicity in Rat or Mammalian ModelVenkataramanaiah Poli, Srinivasulu Reddy MotireddyAbsalan, F., Saremy, S., Mansouri, E., Moghadam, M. T., Moghadam, A. R. E., & Razie, G. (2016). Effects of Mono-(2-Ethylhexyl) Phthalate and Di-(2-Ethylhexyl) Phthalate Administrations on Oocyte Meiotic Maturation, Apoptosis and Gene Quantification in Mouse Model. Cell Journal, 18(4), 503–513. https://doi.org/10.22074/cellj.2016.4717 Acevedo‐Rodriguez, A., Kauffman, A. S., Cherrington, B. D., Borges, C. S., Roepke, T. A., & Laconi, M. (2018). Emerging … …American Journal of Pharmacology and Toxicology, Vol. 19, Issue 1 · 6 Jun 2024 · 12,990 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuppression 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 PDFCite
Research ArticleOpen accessIn the abstractEffects of Selected Low-Risk Insecticides and Rainfall Rate on Bemisia tabaci Population and Pepper Yellow Leaf Curl Indonesia Virus Incidence on ChiliAndi Nasruddin, Iftitah Kartika Amaliah, Nurul Arfiani et al.Pepper Yellow Leaf Curl Indonesia Virus (PepYLCIV) is a damaging chili disease in Indonesia. Chili growers depend on synthetic insecticides to control the disease by suppressing its vector population, Bemisia tabaci Genn. This study assessed the efficacy of several low-risk insecticides in suppressing the B. tabaci population and PepYLCIV incidence during the dry and rainy seasons. Treatments consisted of different … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 26 Jan 2024 · 5,826 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Influential Nodes With Topological Structure Via GRAPH Neural Network (GNN) Approach in Social Media NetworksRajnish Kumar, Laxmi Ahuja, Suman Mann, Sanmukh KaurThe amount of data in social networks is vast these days, and constantly changing, making influential node identification crucial. The existing topologies are constantly changing due to the evolving behavior of the applied dataset. Node and leaf topology or feature-based value form the basis for machine learning and centrality computation. Hence, influential node value determination is based on the node … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,830 accessesView PDFCite