A bibliometric review of geospatial analyses and artificial intelligence literature in agriculture

Karmaoui, Ahmed; Jaafari, Samir El; Chaachouay, Hassan; Hajji, Lhoussain

doi:10.1007/s10708-023-10859-w

Cited by 5 publications

(1 citation statement)

References 55 publications

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“…Geodata is information relating to geosciences in the broadest term, i.e., fields that use spatial data, which is now most often collected and stored electronically. These data can include topographic information, satellite data, land surface data, maps, satellite images, climate data, geological conditions, and many others (Coetzee et al, 2020;Karmaoui et al, 2023). Geodata are collected and processed by various organizations, institutions, companies, universities, etc.…”

Section: Discussionmentioning

confidence: 99%

Geodata in Science – A Review of Selected Scientific Fields

Apollo,

Jakubiak,

Nistor

et al. 2023

ASP.FC

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Aim of the study: Today, completely new forms of geo-information systems are becoming increasingly popular. New technological possibilities allow these systems to be adapted to the requirements and needs of societies. This paper is an extensive literature review of the use of geodata in various scientific fields, in STEM (science, technology, engineering, and mathematics) disciplines. However, as there is no universal agreement as to which disciplines are included in the STEM, the authors also included related fields such as geography or transport. Material and methods: Already a preliminary analysis of the Web of Science Core Collection database has shown that geodata is used very widely, in every scientific discipline analysed (with varying degrees of sophistication). The main objective of the paper is to provide a comprehensive analysis of the usage of geodata in five areas: bathymetric measurements, satellite geodata, aerial retrieved geodata, levelling networks, and GIS data. Results and conclusions: The results showed the increasing availability of data that can contribute to a better understanding and management of our planet. Geodata as a tool is overly broad and general, and it is used or might be used in every discipline of science.

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Section: Discussionmentioning

confidence: 99%

Geodata in Science – A Review of Selected Scientific Fields

Apollo,

Jakubiak,

Nistor

et al. 2023

ASP.FC

View full text Add to dashboard Cite

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An Overview of Advances in Geoinformatics Technologies: Facilities and Utilities Optimization and Management for Smart City Applications

Ujang,

Yadava

2024

Earth and Environmental Sciences Library

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Optimal decision-making in the water, land and food nexus using artificial intelligence and extreme machine learning

Shao,

Ding,

Wen

et al. 2023

Water Supply

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The development of decision-making systems based on artificial intelligence can lead to achieving optimal solutions water-land-food nexus. In this paper, an extreme learning machine model was developed with the objective function of wheat production maximization. The constraints defined for this problem are divided into three categories: technical parameters of production in agriculture, climatic stress on water resources and land limits. The water, land and food nexus was simulated using 23 experimental farms in Henan province during the 2021–2022 cultivation year. Root-mean-square error was used as an error criterion, and Pearson's coefficient was incorporated into the decision-making system as a correlation index of variables. Harvest index, length of the growth period, cultivation costs and irrigation water were the criteria to evaluate the impact of the sustainable model. The harvest index and the length of the growth period showed the highest and lowest correlation with the production rate, respectively. Furthermore, the optimal management of irrigation water and cost had the most significant impact on increasing crop production. The method proposed in this paper can be a virtual cropping model by changing the area under cultivation of a crop in the different farms of a study area, which increases yield production.

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A bibliometric review of geospatial analyses and artificial intelligence literature in agriculture

Cited by 5 publications

References 55 publications

Geodata in Science – A Review of Selected Scientific Fields

Geodata in Science – A Review of Selected Scientific Fields

An Overview of Advances in Geoinformatics Technologies: Facilities and Utilities Optimization and Management for Smart City Applications

Optimal decision-making in the water, land and food nexus using artificial intelligence and extreme machine learning

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