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3 articles for “colletotrichum”
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Evaluation of New Fungicides for the Management of Mango Anthracnose Disease Caused by Colletotrichum Gloeosporioides
Abstract: A field experiment was conducted at the field of Plant Pathology Division, Regional Agricultural Research Station (RARS), Bangladesh Agricultural Research Institute (BARI), Jamalpur-2000, Bangladesh during February to July 2024 to assessment the efficacy/effectiveness of thirty-five (35) new fungicides received from Pesticide Technical Advisory Committee (PTAC), Bangladesh with control treatment against anthracnose disease of mango. Most of the fungicides under inspection were able to control the disease successfully. This study suggests …
Published in International Journal of Trends in Horticulture · Vol. 3, Issue 1, 2026 · pp. 1–16 Read article
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Hidden Gems of Dragon Fruit: Its Role in Pharmacognosy and Therapeutics
Abstract: The Cactaceae family includes the medicinal plant Hylocereus spp., also known as dragon fruit. The skin’s unique morphology, which reflects the body’s oval form, is characteristic of dragon fruit. Dry conditions are ideal for dragon fruit growth. Dragon fruit, also known as pitaya, is a fantastic functional food that has attracted attention recently due to its numerous therapeutic benefits, including antioxidant, anti-cancer, anti-diabetic, anti-microbial, hepatoprotective, and anti-hyperlipidemic properties. It also …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 92–101 Read article
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An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article