Back to Search
Start Over
Selective Harvesting Robotics: Current Research, Trends, and Future Directions
- Source :
- Current Robotics Reports 2 (2021) 1, Current Robotics Reports, 2(1), 95-104
- Publication Year :
- 2021
-
Abstract
- Purpose of Review The world-wide demand for agricultural products is rapidly growing. However, despite the growing population, labor shortage becomes a limiting factor for agricultural production. Further automation of agriculture is an important solution to tackle these challenges. Recent Findings Selective harvesting of high-value crops, such as apples, tomatoes, and broccoli, is currently mainly performed by humans, rendering it one of the most labor-intensive and expensive agricultural tasks. This explains the large interest in the development of selective harvesting robots. Selective harvesting, however, is a challenging task for a robot, due to the high levels of variation and incomplete information, as well as safety. Summary This review paper provides an overview of the state of the art in selective harvesting robotics in three different production systems; greenhouse, orchard, and open field. The limitations of current systems are discussed, and future research directions are proposed.
- Subjects :
- 0209 industrial biotechnology
Crop Physiology
Computer science
Population
Greenhouse
Farm Technology
02 engineering and technology
Agricultural engineering
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Life Science
Production (economics)
Agricultural productivity
education
Agro Field Technology Innovations
education.field_of_study
business.industry
Robotics
General Medicine
PE&RC
Automation
Agriculture
Robot
020201 artificial intelligence & image processing
Agrarische Bedrijfstechnologie
Artificial intelligence
business
Gewasfysiologie
Subjects
Details
- Language :
- English
- ISSN :
- 26624087
- Volume :
- 2
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Current Robotics Reports
- Accession number :
- edsair.doi.dedup.....dd5181f2798bdcef87c71b047094ecb0