Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

149 results for “Plant Leaf”
Set a search alert
Research ArticleOpen accessEvery word in the titleStomatal Resistance to Low Leaf Water Potential at Different Growth Stages Affects Plant Biomass in Glycine max L.F.B. Adejare, C.E. UmebeseTwo cultivars of Glycine max (L) Merril. (TGX536-02D and TGX 923-2E designated cv.A and cv.B respectively), were subjected to water stress for a period of 7 days at the vegetative (T2), flowering/fruiting (T3) and seed development (T4) stages of growth, with a control (T1). Stress was considered moderate at T2 stage (ψw : -1.53 to -1.57 MPa) and severe at … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 3 · 30 Sep 2007 · 8,349 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTomato Leaf Disease Detection by Hybrid Ai and Ml TechnologyP. Loganathan, M. John Britto, Vinston RajaDiseases that affect plants contribute to productivity decline, but they can be managed with ongoing monitoring. It is time-consuming and prone to error to track plant diseases manually. Early disease detection using Artificial Intelligence (AI) and machine vision can lessen negative impacts while also overcoming some of the limitations of continuous human monitoring. Therefore, this study uses both Deep Learning … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,881 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Deep Learning Approach for Tomato Leaf Disease Detection Using Optimized CNN ArchitectureSunil K. Vithalani, Vipul K. DabhiEarly disease detection in plants is essential for sustaining agricultural yield and guaranteeing food security. A comparative analysis of transformer-based and convolutional based deep learning models for classifying tomato leaf diseases is presented. Specifically, it examines the performance of a Vision Transformer (ViT), tested both in a form of scratch training setup and through transfer learning, against well-known CNN architectures … …Journal of Computer Science, Vol. 22, Issue 1 · 7 Feb 2026 · 3,917 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCapability of Streptomyces spp. in Controlling Bacterial Leaf Blight Disease in Rice PlantsRatih Dewi Hastuti, Yulin Lestari, Rasti Saraswati et al.Problem statement: Bacterial Leaf Blight (BLB) caused by Xanthomonas oryzae pv. oryzae (Xoo) is the most damaging disease in lowland rice growing areas in Indonesia. Streptomyces spp. have been known as a producer of antimicrobial compounds that can be used as biocontrol agents. This study examined the ability of three promising indigenous Streptomyces isolates which were previously selected from in … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 2 · 30 May 2012 · 9,363 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCorn Response to Nitrogen Timing and Rate under Strip Tillage and Low-Yield Environment in Southeastern Coastal PlainsPawel Wiatrak, Ahmad Khalilian, Guihua ChenProblem statement: Insufficient rainfall under low yield environment may affect nitrogen management, plant growth indices and grain yields of corn (Zea mays L.). Approach: The objective of this study was to determine the effects of two N application timings (all at planting and as split application with N applied at planting and V6 stage) and five N fertilizer rates (0, … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 10 Mar 2011 · 7,992 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCorn (Zea Mays L.) Plant Characteristics and Grain Yield Response to N Fertilization Programs in No-Tillage SystemKesi Liu, Pawel WiatrakProblem statement: Nitrogen application timing and Nitrogen (N) rate are two important factors to influence corn production in No-Tillage (NT) system, but N recommendations may need to be revised due to insufficient rainfall in dryland rain-fed environment. Approach: This study was to determine the effects of two N application timing (planting and split application at planting and V6 corn growth … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 1 · 25 Mar 2011 · 8,340 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolluscicidal Activity of Ethanolic Dieffenbachia seguine (Dumb Cane) Leaf Extract Against Pomacea canaliculata (Golden Apple Snail)Alfredo V. Corpuz, Carmela M. Florentino, Ace Danielle C. Avero, Sherwin V. AlvaroThe golden apple snail (Pomacea canaliculata), an invasive species that originated in South America, has caused significant damage to rice plantations in Southeast Asia, notably the Philippines. Because of its voracious appetite for aquatic vegetation and quick reproduction rate, it poses a significant agricultural problem. Conventional control approaches, which mostly use chemical molluscicides, have increased environmental issues and threats to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 14 Sep 2026 · 846 accessesView PDFCite
Research ArticleOpen accessIn the abstractMechanical Scarification and Sucrose Priming Overcome Physical Dormancy in Caesalpinia spinosa (Tara) Seeds from the Peruvian HighlandsWilfredo Ruiz-Camacho, Ítalo Maldonado Ramirez, Juan Eduardo Suarez Rivadeneira et al.Caesalpinia spinose (tara) is a leguminous tree native to the Peruvian Andes-Amazon region, valued for soil restoration and high tannin content. However, its large-scale propagation is constrained by physical seed dormancy caused by a hard and impermeable seed coat. This study evaluated six pre-germination treatments to break dormancy and enhance early seedling development under local agroclimatic conditions in Magdalena District, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 12 Aug 2026 · 1,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite