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9 articles for “plant leaf analysis”
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article
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Ecology of Leaf Adaptations in Azardirachta indica A. Juss at Desert Environment
Abstract: Azardirachta indica A. Juss is a medicinally important plant belonging to the family Meliaceae. It is widely used during COVID 19 for its anti-inflammatory and antiviral effects for COVID 19 prophylaxis. Although the plant is native to India, but is very much naturalized in tropical and subtropical countries. It is one of the commonly used plant for shelterbelt and wind break system along roadsides also. The present investigation was done …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 7–11 Read article
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In Silico Analysis and Docking Study of the Active Phyto Compounds of Ginkgo Biloba Against Alzheimer's Amyloid-Beta Protein
Abstract: Objective: Alzheimer's disease, an age-related progressive neurological condition, arises due to the accumulation of amyloid-beta protein within the brain. In this study, an attempt was made to explore the potential of natural compounds derived from Ginkgo, known for their diverse medicinal properties, in the prevention of the disorder by employing molecular docking techniques, conducting drug-likeness prediction assessments, and performing ADME analysis. Methods: Amyloid beta protein was retrieved from the PDB …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 1, Issue 2, 2023 Read article
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Comparative Study of Bioactive Phytochemicals from Hexane Extract of Two Amaranthaceae Leafy Vegetables by GC-MS Method
Abstract: Amaranthus tricolor Linn and Amaranthus viridis Linn, belonging to the Amaranthaceae family, are popularly consumed leafy vegetables in India and many other countries globally. The bioactive components of Hexane extract from these two plants have been analysed using gas chromatography-mass spectrometry (GC–MS) technique. According to analysis, both species contain a total of nineteen important chemicals. Of these, ten were found in A. tricolour L. and nine in A. viridis L. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 7–17 Read article
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Deep Learning based Solution for Leaf disease Detection in Crops and Fertilizer Recommendation
Abstract: The field of agriculture faces significant threats, including diseases that attack plant leaves. To address this issue, our system assists farmers in promptly detecting plant diseases using advanced technology. The user, typically a farmer, only needs to capture an image of the affected leaf and input it into our system. Our system then analyzes the uploaded image to accurately identify the specific disease afflicting the leaf. This analytical process is …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 31–40 Read article
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Evaluation on Bioremediation Kinetics of Petroleum- Contaminated Soils Using Plant-Based Amendments
Abstract: The effectiveness of bioremediation processes is strongly influenced by environmental conditions, reactor design parameters, microbial characteristics, and pollutant properties. This study investigates the combined effects of environmental-related factors, reactor design considerations, organism- related characteristics, and pollutant properties on the degradation of total petroleum hydrocarbons (TPH) in swampy and clay soils amended. Laboratory-scale remediation experiments were conducted over an 84-day period using amendment dosages ranging from 20 to 100 g. The …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 24–30 Read article
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Extraction and Compound Analysis of Bauhinia acuminata: Soxhlet Method and Identification
Abstract: In the present study, the extraction and compound analysis of Bauhinia acuminata using the Soxhlet method, coupled with identification techniques, were conducted. Bauhinia acuminata L., a member of the Leguminosae (Fabaceae) family in the Caesalpinioideae subfamily, is a shrub usually reaching a height of around 3 m. It is native to tropical Southeast Asia and commonly found in the tropical regions of India and China. Primarily grown for ornamental purposes, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 · pp. 18–23 Read article
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A Review on Poly Herbal Anti-Dandruff Shampoo with Bay and Betel Leaves
Abstract: Dandruff is one of the most common scalp problem it is mainly caused by the abnormal growth of yeast Malassezia species. It can lead to itching, irritation, excessive shedding of dead skin. Most of the anti-dandruff shampoos are made up of chemical based which are available in the market, they may give quick results but their long-term use will show side effects like hair dryness, damage, irritation, frizziness. To overcome …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 Read article
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Performance Evaluation of Oat (Avena sativa) Varieties for Growth, Yield, and Yield Components in Southwest Ethiopia
Abstract: The improved feed shortage is main bottleneck of livestock production and productivity in southwest Ethiopia. Hence, the study was conducted in Southwest Ethiopia in Kaffa zone Gimbo district in 2017 and 2018 cropping seasons to identify the adaptable and high yielding oat variety (s). The trial consisted of five oat varieties (CI-8250, CI-8237, CI-2291, CI-2806 and ICARDA 6710) which were laid out in randomized complete block design with three replications. …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 13–18 Read article