Robotics in agriculture explores the potential of robotics and artificial intelligence to revolutionize the way farming is done. It looks at the possibilities for automation in crop production and livestock farming, as well as the implications for farming and rural communities. It examines the ways in which robotics could reduce costs, increase yields, and improve safety and sustainability. It also considers the potential risks and drawbacks associated with the use of robotics and AI in agriculture, such as the potential for job losses and the vulnerability of robotic systems to cyberattack.
This Research Topic (Robotics for Smart Farming) aims to highlight the latest research in robotic technologies relevant to agriculture and farming processes. It will focus on agricultural robotics covering different fields of robotics, intelligent perception, manipulation, control, path planning, machine learning, and the applications of robotic and control systems in agriculture.
The goal of this Research Topic is to explore the potential of robotics for smart farming and to bring together the latest developments in the field of robotics for agriculture and food production. We aim to provide a comprehensive overview of the current state of research and applications in this field, and to identify the challenges, opportunities and future trends in robotics for smart farming. We also aim to promote collaboration between researchers and practitioners, and to provide a platform for exchanging ideas and experiences.
The scope of this Research Topic is to review the latest developments in the field of robotics for smart farming. We invite original research papers, review articles, and technical notes on topics related to the following, but not limited to:
• Robotics and UAVs in Smart Farming
• Robotics for crop production, harvesting, and post-harvest processing
• Autonomous navigation and control of agricultural robots
• Machine learning and artificial intelligence for agricultural robotics
• Deep learning and reinforcement learning for agricultural robotics
• Robotic Applications in Agriculture for Land Preparation before Planting
• Robotic Applications in Agriculture for Sowing and Planting
• Robotic Applications in Agriculture for Plant Treatment
• Robotics for Yield Estimation and Phenotyping
• Robotic Applications in Agriculture for Harvesting
• Robotic Systems for Food Production
• Robotic Livestock Farming
• Robotic Fish Farming
• Robotic Crop Plantation and Weeding
• Robotic Harvesting
• Robotic Crop Sensing and Monitoring
• Robotic Disease Detection
• Robotics in Precision Agriculture
• Robotics in Food Processing
• Social and ethical implications of robotics in agriculture
Keywords:
Robotics, Smart Farming, Autonomous Navigation, Sensor Technologies, Machine Learning
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Robotics in agriculture explores the potential of robotics and artificial intelligence to revolutionize the way farming is done. It looks at the possibilities for automation in crop production and livestock farming, as well as the implications for farming and rural communities. It examines the ways in which robotics could reduce costs, increase yields, and improve safety and sustainability. It also considers the potential risks and drawbacks associated with the use of robotics and AI in agriculture, such as the potential for job losses and the vulnerability of robotic systems to cyberattack.
This Research Topic (Robotics for Smart Farming) aims to highlight the latest research in robotic technologies relevant to agriculture and farming processes. It will focus on agricultural robotics covering different fields of robotics, intelligent perception, manipulation, control, path planning, machine learning, and the applications of robotic and control systems in agriculture.
The goal of this Research Topic is to explore the potential of robotics for smart farming and to bring together the latest developments in the field of robotics for agriculture and food production. We aim to provide a comprehensive overview of the current state of research and applications in this field, and to identify the challenges, opportunities and future trends in robotics for smart farming. We also aim to promote collaboration between researchers and practitioners, and to provide a platform for exchanging ideas and experiences.
The scope of this Research Topic is to review the latest developments in the field of robotics for smart farming. We invite original research papers, review articles, and technical notes on topics related to the following, but not limited to:
• Robotics and UAVs in Smart Farming
• Robotics for crop production, harvesting, and post-harvest processing
• Autonomous navigation and control of agricultural robots
• Machine learning and artificial intelligence for agricultural robotics
• Deep learning and reinforcement learning for agricultural robotics
• Robotic Applications in Agriculture for Land Preparation before Planting
• Robotic Applications in Agriculture for Sowing and Planting
• Robotic Applications in Agriculture for Plant Treatment
• Robotics for Yield Estimation and Phenotyping
• Robotic Applications in Agriculture for Harvesting
• Robotic Systems for Food Production
• Robotic Livestock Farming
• Robotic Fish Farming
• Robotic Crop Plantation and Weeding
• Robotic Harvesting
• Robotic Crop Sensing and Monitoring
• Robotic Disease Detection
• Robotics in Precision Agriculture
• Robotics in Food Processing
• Social and ethical implications of robotics in agriculture
Keywords:
Robotics, Smart Farming, Autonomous Navigation, Sensor Technologies, Machine Learning
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.