Voice-driven fleet management system for agricultural operations-Reference-Cited by-同舟云学术

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Voice-driven fleet management system for agricultural operations

Published:2019-12 Issue:4 Volume:6 Page:471-478
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Achillas Ch.,Bochtis D.,Aidonis D.,Marinoudi V.,Folinas D.

Funder

Special Account for Research Funds of the Technological Education Institute of Central Macedonia, Greece

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference34 articles.

1. Mapping soil compaction – a review;Alaoui;Curr Opin Environ Sci Heal,2018

2. Changes in soil compaction indicators in response to agricultural field traffic;de Lima;Biosyst Eng,2017

3. Controlled traffic farming effects on soil emissions of nitrous oxide and methane;Tullberg;Soil Tillage Res,2018

4. A comparative study of conventional and controlled traffic in irrigated cotton: I. Heavy machinery impact on the soil resource;Bennett;Soil Tillage Res,2017

5. Tramline establishment in controlled traffic farming based on operational machinery cost;Bochtis;Biosyst Eng,2010

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1. A hybrid framework for fleet management with quality concerns: a case for the food industry;International Journal of Quality & Reliability Management;2023-05-16

2. Automated Monitoring and Control System for Greenhouses Using Modern Speech Processing Through Mathematical-Based Methods;2023 Argentine Conference on Electronics (CAE);2023-03-09

3. Analysis of Fleet Management System Network Infrastructure in Open Mining System;2022 14th International Conference on Information Technology and Electrical Engineering (ICITEE);2022-10-18

4. Harvester Maintenance Resource Scheduling Optimization, Based on the Combine Harvester Operation and Maintenance Platform;Agriculture;2022-09-09

5. An Agricultural Event Prediction Framework towards Anticipatory Scheduling of Robot Fleets: General Concepts and Case Studies;Agronomy;2022-05-29

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