Special Issue "Robotics and Automation in Agriculture"
A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 37535
Interests: agri/env/bio sensors; sensor systems; sensor data modeling and fusion; sensor security and anomaly detection; energy harvesting; internet of things; cyber physical systems; decision-making and controls; formal methods
Farming is facing many challenges in terms of productivity and cost-effectiveness. The introduction of automation, including intelligent robots, automated sensing, modeling, decision-making and actuation, and the role of genotypes versus the environment, to agricultural operations will allow for enhanced efficiency and reduced environmental impact. There are genetics-sensors-machinery-robotics-clouds-aided automated systems for various aspects of agricultural functions, from crop genetics composition to monitoring for resource availability, stresses and diseases, and grafting to seeding and planting; and from the application of water/nutrients/agrochemicals to harvesting to sorting, packaging, boxing, and livestock management. Automated ground as well as aerial devices and robotics can gather operational data as well as affect the operations on a broader basis than manual practices. Precision farming using genetics, automation, and robotics technologies applied to existing systems can lead to enhanced resource-efficient and environmentally-friendly agricultural production that is needed to feed the growing populace, projected to be 9 Billion by 2050, with no proportionate growth in cultivable land and climate adversity.
This Special Issue will focus on automation and robotics in agriculture for precision and sustainable farming, such as the impact of genotype and environment on phenotypes; ground/aerial sensors for in-field monitoring and data-modeling in clouds; agricultural modeling and visualization for yields, agrochemical and water cycling, and decision-making; mechanized seeding, agrochemical application, harvesting, targeted weed control, and environmentally-friendly fertilization; and/or livestock management, all based on more effective planning, runtime decision-making and targeted interventions, optimizing the entire agricultural process, sensor fusion from multiple agricultural robotic platforms, internet of things and agricultural robotics.Harpole Prof. Dr. Ratnesh Kumar
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- Precision and sustainable agriculture
- In-situ sensors and information acquisition
- Ground and aerial agricultural robotics and devices
- Data-driven modeling of agricultural processes
- Data-driven agricultural decision making and optimization
- Understanding the impact of genotypes and the environment on phenotypes
- Internet of things in agricultural robotics
- Sensor fusion in agricultural robotics