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Updated: Jul 18, 2025
08:02
Robotic Sensing and Stimuli Provision for Guided Plant Growth
Published on: July 1, 2019
8.0K
Sensors and Robotics for Digital Agriculture.
Aristotelis C Tagarakis1, Dionysis Bochtis1
1Institute for Bio-Economy and Agri-Technology (iBO), Centre for Research and Technology-Hellas (CERTH), 6th km Charilaou-Thermi Rd., 57001 Thessaloniki, Greece.
Sensors (Basel, Switzerland)
|August 26, 2023
Summary
Autonomous systems are increasingly used in agriculture thanks to new sensing and data technologies. This integration enhances efficiency and precision in farming operations.
Area of Science:
- Agricultural Science
- Engineering
- Computer Science
Background:
- The integration of advanced sensing and data technologies is driving the adoption of autonomous systems in agriculture.
- These technologies enable sophisticated data collection and analysis for improved farm management.
Discussion:
- Autonomous systems offer enhanced precision and efficiency in various agricultural tasks.
- Challenges include system integration, data management, and the need for skilled operators.
Key Insights:
- Latest advances in sensing and data technologies facilitate autonomous system implementation.
- Autonomous systems are transforming agricultural production processes, leading to optimized resource utilization.
Outlook:
- Future developments will likely focus on AI-driven decision-making and broader adoption of robotics.
- Continued innovation promises further advancements in smart farming and sustainable agriculture.
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