The development of the farmB Carbon Intelligence platform is closely linked with ongoing scientific research in digital agriculture, agricultural robotics, geospatial analytics and environmental monitoring.

Through continuous scientific publication, farmB contributes to the global research effort advancing data-driven, climate-smart and sustainable agricultural systems. The publications presented here reflect this ongoing effort to generate new knowledge while developing technologies that enable Carbon Intelligence for agriculture.

Research Domains

farmB’s scientific work contributes to several research domains related to digital agriculture and climate-smart farming:

Digital agriculture and farm data systems

Agricultural robotics and Human-Robot-Interaction

Geospatial analytics and Earth observation for agriculture

Environmental monitoring and sustainability assessment

Decision support systems and AI for agricultural systems

Proactive Path Planning Using Centralized UAV-UGV Coordination in Semi-Structured Agricultural Environments

Proactive Path Planning Using Centralized UAV-UGV Coordination in Semi-Structured Agricultural Environments

Applied Sciences | Published: January 2026

Experimental Comparative Analysis of Centralized vs. Decentralized Coordination of Aerial–Ground Robotic Teams for Agricultural Operations

Experimental Comparative Analysis of Centralized vs. Decentralized Coordination of Aerial–Ground Robotic Teams for Agricultural Operations

Robotics | Published: July 2025

Explainable artificial intelligence-driven geometric feature selection for enhanced field traversing efficiency prediction

Explainable artificial intelligence-driven geometric feature selection for enhanced field traversing efficiency prediction

Computers and Electronics in Agriculture | Published: December 2025

Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data

Interpretable Machine Learning for Legume Yield Prediction Using Satellite Remote Sensing Data

Applied  Sciences | Published: January 2025

Benchmarking Large Language Models in EvaluatingWorkforce Risk of Robotization: Insights from Agriculture

Benchmarking Large Language Models in EvaluatingWorkforce Risk of Robotization: Insights from Agriculture

AgriEngineering | Published: April 2025

Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices

Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices

AgriEngineering | Published: March 2025

Soil Organic Carbon Assessment for Carbon Farming: A Review

Soil Organic Carbon Assessment for Carbon Farming: A Review

Agriculture | Published: March 2025

Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture

Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture

Applied Sciences | Published: January 2025

Large language models impact on agricultural workforce dynamics: Opportunity or risk?

Large language models impact on agricultural workforce dynamics: Opportunity or risk?

Smart Agriculture Technology | Published: November 2024

Leveraging Digital Technologies for Carbon Footprint Tracking in Perennial Cultivations: A Case Study of Walnut Orchard Establishment in Central Greece

Leveraging Digital Technologies for Carbon Footprint Tracking in Perennial Cultivations: A Case Study of Walnut Orchard Establishment in Central Greece

Agronomy | Published: September 2024

Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks

Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks

Applied Sciences | Published: September 2024

Adapting to the Agricultural Labor Market Shaped by Robotization

Adapting to the Agricultural Labor Market Shaped by Robotization

Sustainability | Published: August 2024

Human–Robot Interaction through Dynamic Movement Recognition for Agricultural Environments

Human–Robot Interaction through Dynamic Movement Recognition for Agricultural Environments

AgriEngineering | Published: August 2024

Digital Twins in Agriculture and Forestry: A Review

Digital Twins in Agriculture and Forestry: A Review

Sensors | Published: May 2024

Integrated Route-Planning System for Agricultural Robots

Integrated Route-Planning System for Agricultural Robots

Sensors | Published: March 2024

Carbon Farming: Bridging Technology Development with Policy Goals

Carbon Farming: Bridging Technology Development with Policy Goals

Sensors | Published: February 2024

Human–Robot Interaction in Agriculture: A Systematic Review

Human-Robot Interaction in Agriculture: A Systematic Review

Sensors | Published: July 2023

UAV-Supported-Route-Planning-for-UGVs-in-Semi-Deterministic-Agricultural-Environments

UAV-Supported Route Planning for UGVs in Semi-Deterministic Agricultural Environments

UAV-Supported Route Planning for UGVs in Semi-Deterministic Agricultural Environments

Agronomy | Published: August 2022

Proposing UGV and UAV Systems for 3D Mapping of Orchard Environments

Proposing UGV and UAV Systems for 3D Mapping of Orchard Environments

Sensors | Published: February 2022

Weed Mapping in Vineyards Using RGB-D Perception

Weed Mapping in Vineyards Using RGB-D Perception

Engineering Proceedings | Published: December 2021

Wearable Sensors for Identifying Activity Signatures in Human-Robot Collaborative Agricultural Environments

Wearable Sensors for Identifying Activity Signatures in Human-Robot Collaborative Agricultural Environments

Engineering Proceedings | Published: November 2021

Low-Cost Wireless Sensing System for Precision Agriculture Applications in Orchards

Low-Cost Wireless Sensing System for Precision Agriculture Applications in Orchards

Applied sciences | Published: June 2021

Orchard Mapping with Deep Learning Semantic Segmentation

Orchard Mapping with Deep Learning Semantic Segmentation

Sensors | Published: May 2021

Machine Learning in Agriculture: A Comprehensive Updated Review

Machine Learning in Agriculture: A Comprehensive Updated Review

Sensors | Published: May 2021

A deep learning approach for anthracnose infected trees classification in walnut orchards

A deep learning approach for anthracnose infected trees classification in walnut orchards

Computers and Electronics in Agriculture | Published: March 2021

Human Activity Recognition through Recurrent Neural Networks for Human–Robot Interaction in Agriculture

Human Activity Recognition through Recurrent Neural Networks for Human–Robot Interaction in Agriculture

Applied sciences | Published: March 2021

From Research to Innovation

The scientific work presented in these publications forms the foundation of the technologies developed within the farmB Carbon Intelligence platform.