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Antons Patlins

As seen in: Future Internet, MDPI
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Articles

Development of Aggregated Sustainability Indicators for Quality of Life Evaluations in Urban Areas of the Republic of Kazakhstan

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By Nadezhda Kunicina, Madina Mansurova, Antons Patlins, Meiran Zhiyenbayev
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Computer Vision and Machine Learning-Based Predictive Analysis for Urban Agricultural Systems

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By Arturs Kempelis, Inese Polaka, Andrejs Romanovs, Antons Patlins
| MDPI
1. Introduction Urban agriculture, the practice of cultivating food in or around urban areas, is gaining momentum as a solution to various challenges including food security []. However, maximizing the potential of urban farms requires precise, efficient, and scalable methods for monitoring these complex systems. Here, computer vision and deep learning emerge as powerful tools [].
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