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302 results for “leaf”
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Research ArticleOpen accessEvery word in the titleProcessing of Aloe Vera Leaf Gel: A ReviewC.T. Ramachandra, P. Srinivasa RaoProper scientific investigations on Aloe vera have gained more attention over the last decade due to its reputable, medicinal, pharmaceutical and food properties. Some publications have appeared in reputable scientific journals that have made appreciable contributions to the discovery of the functions and utilizations of Aloe vera lacking processing of leaf gel. Present processing techniques aims at producing best quality … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 22,728 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffect of Fig (Ficus carica) Leaf Extract on the Secretion and Content of Cholesterol in Hepg2 CellAhmad Fatemi, Ali Rasouli, Farzad AsadiTraditional medicines remain a source of potential for discovering of new compounds with valuable pharmacological activities. Leaves of Ficus carica were dried, powdered and extracted using methanol (ME).An aliquot of ME was dried and re-extracted by water:chloroform and the other aliquot by water: peteruleum ether. Effect of aqueous fractions of the former (ACR; 0.08, 0.1 and 0.13 mg dL-1), the … …American Journal of Animal and Veterinary Sciences, Vol. 2, Issue 4 · 31 Dec 2007 · 7,420 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficacy of Olive Leaf Extract in the Treatment of Minor Oral Aphthous UlcersZahra Atai, Mehdi Ansari, Narjes TorabiThis research is a double blinded clinical study that tries to assay the thrapeutical effects of olive leaf extract on the oral minor aphthous ulcers in comparison with dexametasone mouth wash. The statistical society of the study was 80 patients which were equally divided into 2 groups. One group received olive leaf extract and the other group received dexametasone mouth … …American Journal of Infectious Diseases, Vol. 3, Issue 1 · 31 Mar 2007 · 7,949 accessesView PDFCite
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 PDFCite
Research ArticleOpen accessEvery word in the titleEvaluating Toxicity of Extracted Destruxin from Metarhizium Anisopliae Against Citrus Leafminer, Phyllocnistis citrellaM. Mohammadi Sharif, A. R. Hadizadeh, M.A. Tajick GhanbaryProblem statement: The fungus, Metarhizium anisopliae (Metschnikoff) Sorokin produces some cyclic peptide toxins, destruxins, which exhibit a variety of insecticidal actions. Citrus leafminer, Phyllocnistis citrella Stainton, is a major pest of young citrus trees; therefore its effective and safe control is a important issue. Approach: Five isolates of M. anisopliae were inoculated in Potato Dextrose Broth (PDB) mediums. Destruxin was … …American Journal of Environmental Sciences, Vol. 6, Issue 4 · 31 Aug 2010 · 7,251 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Leaf Anatomy of Selected Species in Vitaceae and LeeaceaeChnar Najmaddin, Khatijah Hussin, Haja MaideenLeea species was originally placed in the family Vitaceae but was later placed in the Leeaceae due to the anatomical differences between the two families and between species. A study on the anatomical difference in leaves of four species in the Vitaceae (Tetrastigma cruciatum, Pterisanthes miquelii, Cissus hastata and Nothocissus spicifera) and two species from Leeaceae (Leea rubra and Leea … …American Journal of Applied Sciences, Vol. 10, Issue 4 · 28 Apr 2013 · 7,395 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBenchmarking 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 accessEvery word in the titleMolluscicidal 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 accessEvery word in the titleEpsilon-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
Research ArticleOpen accessEvery word in the titleInheritance of Leaf Characters in Sweet Potato (Ipomoea batatas [L.] Lam.)Alfredo Morales, Dania RodríguezThis study aimed to establish foundational knowledge regarding the inheritance patterns of two foliar traits (leaf morphology and midrib pigmentation) in Ipomoea batatas. To overcome the challenges associated with discretely classifying color and shape frequencies, five morphometric descriptors were employed. Two of these parameters addressed leaf shape (Circularity and Aspect Ratio), while three characterized the color of the central vein … …American Journal of Agricultural and Biological Sciences, Vol. 21, Issue 1 · 3 Jul 2026 · 1,409 accessesView PDFCite