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Geographical information system - Europe PMC

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Last Updated: 21 June 2022

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Land Quality Index for Paddy (Orzya sativa L.) Cultivation Area based on Deep Learning Approach using Geographical Information System and Geostatistical Techniques

Many fields in Turkey have suitable cultural conditions for rice production, and its per hectare yield is usually above the global average. This report's primary goal is to determine land quality classes for rice production based on the Geographic Information System and the deep learning approach. Deep learning is a common technique for image processing and data analysis, with obtaining results and high potential. Deep learning has been demonstrated to be effective in predicting soil quality parameters and determining land quality classes. It has been reported that deep learning can be used effectively in predicting soil characteristics and determining land quality classes. Using statistical techniques, a significant positive relationship was found between land quality classes and yield.

Source link: https://europepmc.org/article/PPR/PPR493970


Geographical information system based optimal path routing of distribution networks.

An electric distribution network is part of a power system that distributes electricity to consumers with no energy loss along its route. In this paper, ArcGIS software was used alongside an Analytical Hierarchy Process to determine the most efficient route for distribution feeders, as well as, finding the latest transformers, poles, and capacitor locations. ETAP software was used to model the electric distribution network and then used to determine the power loss in the network and its voltage profile.

Source link: https://europepmc.org/article/MED/35600437

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions