faade-level-monitoring-co2-variability-under-urban-heat-island

Fa&#231;ade-Level Monitoring of CO<sub>2</sub> Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Urbanization and rapid land-use change have intensified the urban heat island effect (UHIE), leading to elevated ambient temperatures, altered humidity, ...

real-time-pond-water-assessment-via-embedded-deep-learning-visual

Real-Time Pond Water Assessment via Embedded Deep Learning and Visual Data Acquisition: A Practical Monitoring Approach for Aquaculture

Maintaining optimal water quality is essential in aquaculture, particularly for ornamental species such as Kois, where color clarity and environmental ...

Regent University

This data paper presents a comprehensive visual dataset of 19 distinct types of Indian spices, consisting of high-quality images meticulously curated to facilitate various research and educational applications. The dataset includes extensive imagery of the following spices: Asafoetida, Bay Leaf, Black Cardamom, Black Pepper, Caraway Seeds, Cinnamon Stick, Cloves, Coriander Seeds, Cubeb Pepper, Cumin Seeds, Dry Ginger, Dry Red Chilly, Fennel Seeds, Green Cardamom, Mace, Nutmeg, Poppy Seeds, Star Anise, and Stone Flowers. Each image in the dataset has been captured under controlled conditions to ensure consistency and clarity, making it an invaluable resource for studies in food science, agriculture, and culinary arts. The dataset can also support machine learning and computer vision applications, such as spice recognition and classification. By providing detailed visual documentation, this dataset aims to promote a deeper understanding and appreciation of the rich diversity of Indian spices.

ArticleTotal : 2	Year
Publication title	2025
Publication title	2026

Alfa Nyandoro

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