Search
4 articles for “Taxonomic classification”
-
A Review On Wonder Plant Aloe Vera
Abstract: For millennia, people have utilized and appreciated the health, aesthetic, therapeutic, and skin- care benefits of aloe vera plants. Aloe is a plant that grows in dry regions of Africa, Asia, Europe, and America. It has approximately 300 species. Aloe barbadensis miller is the botanical name of aloe vera. It is a perennial, xerophytic, succulent, shrubby or arborescent plant with pea-green hue that is a member of the Asphodelaceae (Liliaceae) …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 11, Issue 1, 2024 · pp. 1–9 Read article
-
Diversity of Agaricaceae (Basidiomycota: Agaricales) in Dharampur and Kaprada Taluka, Valsad District: A Taxonomic Study
Abstract: The fungal diversity of Dharampur and Kaprada Taluka in Valsad District, Gujarat, India, particularly within the Agaricaceae family, has been extensively studied. According to a standard reference text, the Agaricaceae contains 85 genera and 1340 species. Agaricaceae fungi, categorized as macrofungi, are prevalent in this region and are notably utilized by local tribal communities for culinary purposes due to their edibility. The life cycle of Agaricus is cyclic beginning with …
Published in International Journal of Fungi · Vol. 1, Issue 1, 2024 · pp. 51–62 Read article
-
Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
-
Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article