Search Result "farm machinery automation"


Digital Twin for Smart Farming

Ebook: Data Science for Agricultural Innovation and Productivity
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815196177124010004

IoT and AI-based Smart Farm: Optimizing Crop Yield and Sustainability

Ebook: Research Trends in Artificial Intelligence: Internet of Things
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136449123010004

Farming 4.0 – Review of the Digitalized Agricultural Phenomenon using Disruptive Technologies, its Implementation, and Major Challenges

Ebook: Futuristic Projects in Energy and Automation Sectors: A Brief Review of New Technologies Driving Sustainable Development
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815080537123010016

Use of Artificial Intelligence in Assessing the Livestock Management

Ebook: Recent Trends In Livestock Innovative Technologies
Volume: 7 Year: 2023
Author(s):
Doi: 10.2174/9789815165074123070014

Review Article

Chinese Patent Review of Integrated Management System for AgriculturalMachinery

Journal: Recent Patents on Engineering
Volume: 18 Issue: 8 Year: 2024 Page: 17-31
Author(s):

Impact of Automation, Artificial Intelligence and Deep Learning on Agriculture Crop Yield

Ebook: Research Trends in Artificial Intelligence: Internet of Things
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815136449123010005

Recent Innovations in Off-Road Intelligent Vehicles: In-Field Automatic Navigation

Journal: Recent Patents on Mechanical Engineering
Volume: 2 Issue: 3 Year: 2009 Page: 169-178
Author(s): Francisco Rovira-Mas

Application of Machine Learning Approaches in Crop Management

Ebook: Green Industrial Applications of Artificial Intelligence and Internet of Things
Volume: 1 Year: 2024
Author(s): V. Harsha Vardhan
Doi: 10.2174/9789815223255124010018

Molecular Farming of Pharmaceutical Proteins Using Plant Suspension Cell and Tissue Cultures

Journal: Current Pharmaceutical Design
Volume: 19 Issue: 3 Year: 2013 Page: 5531-5542
Author(s): Stefan Schillberg, Nicole Raven, Rainer Fischer, Richard M. Twyman, Andreas Schiermeyer

Applications of AI in Agriculture

Ebook: Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Volume: 1 Year: 2022
Author(s): Nipun R Navadia
Doi: 10.2174/9789815036060122010011

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