View in EDS

A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale.

Saved in:
Bibliographic Details
Title: A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale.
Authors: Meghraoui, Khadija1, k.meghraoui@iav.ac.ma, Racharak, Teeradaj2,3, racharak@tohoku.ac.jp, El Kadi, Kenza Ait1,4, k.aitelkadi@iav.ac.ma, Bensiali, Saloua5, s.bensiali@iav.ac.ma, Sebari, Imane1,4, i.sebari@iav.ac.ma
Source: Artificial Intelligence in Geosciences; Jun2025, Vol. 6 Issue 1, p1-26, 26p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192571328
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Meghraoui%2C+Khadija%22">Meghraoui, Khadija</searchLink><relatesTo>1</relatesTo>, <i>k.meghraoui@iav.ac.ma</i><br /><searchLink fieldCode="AU" term="%22Racharak%2C+Teeradaj%22">Racharak, Teeradaj</searchLink><relatesTo>2,3</relatesTo>, <i>racharak@tohoku.ac.jp</i><br /><searchLink fieldCode="AU" term="%22El+Kadi%2C+Kenza+Ait%22">El Kadi, Kenza Ait</searchLink><relatesTo>1,4</relatesTo>, <i>k.aitelkadi@iav.ac.ma</i><br /><searchLink fieldCode="AU" term="%22Bensiali%2C+Saloua%22">Bensiali, Saloua</searchLink><relatesTo>5</relatesTo>, <i>s.bensiali@iav.ac.ma</i><br /><searchLink fieldCode="AU" term="%22Sebari%2C+Imane%22">Sebari, Imane</searchLink><relatesTo>1,4</relatesTo>, <i>i.sebari@iav.ac.ma</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+in+Geosciences%22">Artificial Intelligence in Geosciences</searchLink>; Jun2025, Vol. 6 Issue 1, p1-26, 26p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192571328
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.aiig.2025.100125
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 1
    Titles:
      – TitleFull: A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Meghraoui, Khadija
      – PersonEntity:
          Name:
            NameFull: Racharak, Teeradaj
      – PersonEntity:
          Name:
            NameFull: El Kadi, Kenza Ait
      – PersonEntity:
          Name:
            NameFull: Bensiali, Saloua
      – PersonEntity:
          Name:
            NameFull: Sebari, Imane
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 26665441
          Numbering:
            – Type: volume
              Value: 6
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Artificial Intelligence in Geosciences
              Type: main
ResultId 1