Results 91 to 100 of about 30,221 (232)
Rooftop Segmentation using Geospatial Artificial Intelligence for Rural India [PDF]
Rooftop identification using satellite imagery is having a wide range of practical use cases, which includes habitation identification, disaster management, infrastructure monitoring and solar panel deployment.
S. Rangdal +8 more
doaj +1 more source
ARTIFICIAL INTELLIGENCE IN THE GEOSPATIAL INDUSTRY
Tools that use artificial intelligence (AI) technologies have been growing rapidly in recent years, including in the geospatial industry. Any kind of geospatial tool involves huge amounts of data, and the best insights are obtained by merging different data sources. Analyzing the data to find these important insights takes a significant amount of time.
openaire +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
Geospatial information technology has been widely applied in the digital transformation of cities, including territorial resource management, smart city, and enterprise applications such as customer management services and business intelligence, owing to
Cheng Su +3 more
doaj +1 more source
Harnessing social media data to track species range shifts
Abstract Biodiversity monitoring programs and citizen science data remain heavily biased toward the Global North. Especially in megadiverse countries with limited biodiversity records, incorporating social media data can help address existing data gaps.
Shawan Chowdhury +15 more
wiley +1 more source
ABSTRACT Innovation is desirable for the public sector. Yet understanding what and how some innovation projects survive and thrive in a competitive landscape—or public sector innovation—is often challenging. The challenges not only rest in the invisibility of the features of an innovation to human eyes but also in the lack of their accessibility for ...
Yanto Chandra, Jianxiang Tan
wiley +1 more source
Geospatial domain is characterised by vagueness, especially in the semantic disambiguation of the concepts in the domain, which makes defining universally accepted geo- ontology an onerous task.
Agarwal, Pragya +2 more
core
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
As a new algorithm in recent years, the Kernel Search Optimization (KSO) algorithm employs kernel mapping to tackle optimization challenges, but this approach can lead to accuracy loss when transforming the objective function from lower to higher ...
Ruyi Dong +4 more
doaj +1 more source
PlantCV v4: Image analysis software for high‐throughput plant phenotyping
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl +61 more
wiley +1 more source

