302 results for “Leaf”

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Research ArticleOpen accessEvery word in the titleMeta Analysis of Growth Performance of Broilers in Response to Dietary Cassava Leaf Meal InterventionChristian Anayo Mbajiorgu, Ifeanyi Princewill OgbuewuThe use of Cassava Leaf Meal (CLM) in broiler diets has gained attention due to its high crude protein content (24-35%) and other valuable nutrients. Therefore, the objective of this meta-analysis was to assess the impact of diets with and without CLM on broiler growth performance. Search performed on four bibliographic databases produced 584 articles of which 11 were used … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 30 Sep 2026 · 578 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleBiomolecular Identification of Bacteria Endophytic From Betel Leaf in Jambi City Forest Park Area as Antibiotic-Producing PotentialArzita, Miranti Sari Fitriani, Nyimas Myrna Elsa Fathia et al.Background and Objective: Muhammad Sabki City Forest Park in Jambi City has three types of betel plants that contain endophytic bacteria. In 2021, six isolates of endophytic bacteria with the potential for producing antibiotics (halo zone above 10 mm) have been isolated, which can kill Gram-negative (Escherichia coli) and Gram-positive (Staphylococcus aureus) test bacteria. that are 5 (five) isolates derived … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,234 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleTomato 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 PDF Cite

Research ArticleOpen accessEvery word in the titleA 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 PDF Cite

Research ArticleOpen accessEvery word in the titleEffects 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 PDF Cite

Case ReportOpen accessEvery word in the titleEffects of Foliar Applications Mulberry Leaf Enzyme Solution Fertilizer on Growth and Quality of Hydroponic Chinese CabbageLi Yang, Fan Yuting, Du Qingjie et al.To investigate the effects of foliar applications mulberry leaf enzyme solution fertilizer on growth, nutritional quality, photosynthetic characteristics, mineral elements, and antioxidant enzyme system of hydroponic Chinese cabbage, Chinese cabbage Zheng bai'886'was used as experimental material. In this study, we mainly selected seven different fermentation periods (CK: Distilled water, T1-T6, the fermentation days were 20, 35, 50, 65, 80, and … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 7 Jan 2023 · 5,347 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleExperimental Evaluation of Coffee Leaf Disease Classification and Recognition Based on Machine Learning and Deep Learning AlgorithmsKacoutchy Jean Ayikpa et al.Coffee plant diseases constitute a significant danger to world coffee production, and the greatest challenge is to detect these diseases as early as possible to save the crop. Traditional methods are most often based on visual observations, often with errors in diagnosing diseases. Machine Learning has become a tool that presents itself as an alternative for automatically identifying plant diseases. … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 6,986 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleTo Optimize the Brewing Process of Leaf Tea from Hippophae Rhamnoides Linn by the Antioxidant Activity and to Explore its Anticoagulant ActivityYunwen Zhu, Limei Ran, Hongli ZhouToimprove the edible value of Hippophae RhamnoidesLinn. Leaf (HRLL), investigates the optimal brewing conditions and changespeople's brewing habits, and makes better use of resources. The effects ofdifferent parameters (brewing times, brewing time, temperature, andsolid-liquid ratio) on the brewing process of HRLL tea were optimized byresponse surface methodology with antioxidant activity as an indicator.The optimal process was as follows: The brewing … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 14 Nov 2022 · 5,612 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleAnalysis of Photosynthetic Pigment Content and Leaf Structure of Pteroceltis Tatarinowii Mutant with Yellow LeafYongchang Yu, Chen Lv, Min Liu, Tiantian ChenThe relationship betweenleaf variation characteristics and leaf structure characteristics of Pteroceltistatarinowii with yellow leaf was explored to provide a theoretical basisfor the breeding of other ornamental plants. In this study, the differences inpigment content, leaf structure, and chloroplast ultrastructure in leaves of Pteroceltistatarinowii mutant with yellow leaf 'Huiguang' and its original species'Lingyansi No. 1’ were studied. The results showed that … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 3 · 20 Sep 2022 · 5,598 accessesView PDF Cite

Research ArticleOpen accessEvery word 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