ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.03506
  4. Cited By
Dynamic Structure Learning through Graph Neural Network for Forecasting
  Soil Moisture in Precision Agriculture
v1v2 (latest)

Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture

7 December 2020
Anoushka Vyas
S. Bandyopadhyay
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture"

3 / 3 papers shown
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
735
6
0
28 Oct 2024
Leveraging Time-Series Foundation Models in Smart Agriculture for Soil
  Moisture Forecasting
Leveraging Time-Series Foundation Models in Smart Agriculture for Soil Moisture Forecasting
Boje Deforce
Bart Baesens
E. S. Asensio
AI4TSAI4CE
198
0
0
29 May 2024
Forecasting Soil Moisture Using Domain Inspired Temporal Graph
  Convolution Neural Networks To Guide Sustainable Crop Management
Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop ManagementInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Muneeza Azmat
Malvern Madondo
Kelsey L. DiPietro
R. Horesh
Arun Bawa
Michael Jacobs
Raghavan Srinivasan
Fearghal O'Donncha
266
7
0
12 Dec 2022
1
Page 1 of 1