Article

Geospatial Artificial Intelligence in Precision Agriculture: A Systematic Review of Applications, Multimodal Data Integration, and Decision Support

2026-08-06

Abstract excerpt

Geospatial Artificial Intelligence (GeoAI) is increasingly used to integrate remote sensing, geographic information systems, machine learning, Internet of Things sensing, weather information, soil data, and farm-management records for precision agriculture. This systematic review examines how GeoAI supports crop monitoring, yield forecasting, pest and disease detection, soil-property mapping, irrigation and nutrie...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9cd34ba4-f068-5553-b0fb-3bff6b43a995
DOI: 10.20944/preprints202608.0386.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Geospatial Artificial Intelligence in Precision Agriculture: A Systematic Review of Applications, Multimodal Data Integration, and Decision SupportDOI 10.20944/preprints202608.0386.v1Read

Advances in Emerging Digital Technologies for Sustainable Agriculture: Applications and Future PerspectivesSemantic proximity Read

Precision Agriculture using Machine Learning and Deep Learning Algorithms: A Comprehensive StudySemantic proximity Read

Agricultural Intelligence: A Technical Review Within the Perception-Decision-Execution (PDE) FrameworkSemantic proximity Read

Uncertainty Quantification of Climate Impact on Tobacco Yield: A Grid-Based Multimodal AI Framework for Dynamic Risk Stratification and Adaptive ManagementSemantic proximity Read

AI for Precision Fertilizer and Pesticide Application: An Integrated Real-Time Deep Learning and IoT-Driven Field Management SystemSemantic proximity Read

Integration of Robotics and Automation in Protected Horticultural Systems: Systematic ReviewSemantic proximity Read

On to the Next Chapter for Crop Breeding: Convergence with Data ScienceSemantic proximity Read

Review of The Current State of Deep Learning Applications in AgricultureSemantic proximity Read

TERRAGEM: A decision-support software tool for agricultural soil analysis and interpretative diagnosticsSemantic proximity Read

FitoView: A Decision Support Application Integrating Weather Forecasts and CNNs for Plant Disease Classification and Severity Assessment - Case Study on Cercospora Leaf Spot in Chili PepperSemantic proximity Read

Artificial Intelligence: A Promising Tool for Application in PhytopathologySemantic proximity Read

The Diagnostic Void: A Systemic Failure of Commercial Precision Agriculture Platforms to Integrate Science-Based Soil Health IndicatorsSemantic proximity Read