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36 results for “Plant Leaf Disease”
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Research ArticleOpen accessIn the abstractAgricultural Crop Disease Detection Using Convolutional Neural NetworksAtsu Alagah Komlavi, Harouna Naroua, Chaibou KadriMitigating food insecurity in Niger is of paramount importance. According to some researchers, agricultural yield is declining. The permanent annual food shortage was estimated to be between 25 and 50%. Loss of cereal agricultural production is caused by pests and plant diseases. Knowing that ordinary techniques became inefficient. Automatic detection of plant diseases using artificial intelligence becomes the best solution. … …Journal of Computer Science, Vol. 21, Issue 3 · 24 Jan 2025 · 7,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) AlgorithmD. Lita Pansy, M. MuraliMangoes are fruits that originated in South and Southeast Asia. Mango fruits are consumed in high volume worldwide. However, fruit, stem, root, and mango leaves are damaged by pests, and it has a significant negative impact on mango production. Many works were developed for the pest detection of mango; but, none of the works concentrated on the practical applicability and … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,063 accessesView PDFCite
Research ArticleOpen accessIn the abstractGrowth Characters, Physiology and Leaf Fall Disease Resistance in Immature Plants of Rubber (Hevea brasiliensis) IRR 400 Series ClonesRahayu Novrina Rosa, Mohammad Basyuni et al.Superior rubber clones have been used in Indonesia, but productivity achievements are low. The area and rubber production in 2020 was 3,316,047 ha with a productivity of 1,022 kg/ha. The low productivity is caused use of seedling materials. Adaptation testing is one of the stages for selecting superior rubber clones in various environmental conditions, the influencing factors are clone or … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 22 Mar 2024 · 5,300 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 abstractExperimental 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 PDFCite
Research ArticleOpen accessIn the abstractAgronomic and Economic Parameter Estimates of Cocoyam as Influenced by Fertilizer and EnvironmentPrince Emmanuel Norman, Yvonne Sylvia Gloria Ethel Norman, Jenneh Fatima BebeleyThe effects of fertilizer and environment on agronomic traits and economic parameters in cocoyam were assessed at the Njala Agricultural Research Centre experimental site during the 2014/2015 and 2015/2016 cropping seasons. The fertilizer types used were 200 kg ha–1 NPK 15-15-15, 2000 kg ha–1 Rabbit Manure (RM), and no fertilizer (control). The trial was established in the open field and … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 24 Nov 2022 · 6,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractManifestation of Valuable Selective Traits in Alfalfa Collection SamplesA. T. Kenebayev, G. T. Meiirman, S. T. Yerzhanova et al.The paper presents the results of the manifestation and study of alfalfa in a collection seed plot according to the main valuable selective traits, such as leafiness, susceptibility to diseases, the productivity of green mass and seeds, as well as chemical composition and nutritional value. The study aims to identify promising collection varieties for selection from two types of alfalfa, … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 4 Jul 2022 · 5,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Root Rot in Soybean Cultivars with Diverse Susceptibility to the Disease on Plant Physiology, Yield, Amino Acids and Mycotoxins Profile in Climatic Conditions of KazakhstanNurlan Kuldybayev, Yerlan Dutbayev, Bozena Lozowicka et al.Soybean is an important high-value crop but susceptible to soil-borne diseases. A field trial was conducted in Kazakhstan to evaluate the effects of soybean cultivars and Fusarium root rot severity on soybean crop physiology, chlorophyll fractions and amino acids profile. The highest yield was achieved in 2018 (up to 4 t ha-1) for K-9648 cultivar. The greatest root rot severity … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 27 Dec 2021 · 6,299 accessesView PDFCite
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 · 7,205 accessesView PDFCite