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Highlights and preliminary results for autonomous crop protection
•Intelligent pest control remains a mayor challenge to agriculture.•The autonomous tractor used in this work was able to track each straight line with high degree of accuracy.•The new design concept was able to autonomously adjust spray application according tree sizes and orchard structure.•The int...
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Published in: | Computers and electronics in agriculture 2015-01, Vol.110, p.150-161 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Intelligent pest control remains a mayor challenge to agriculture.•The autonomous tractor used in this work was able to track each straight line with high degree of accuracy.•The new design concept was able to autonomously adjust spray application according tree sizes and orchard structure.•The intelligent spray boom responded satisfactorily to variation in the level of weed infestation in the field.
New technologies are required for safe, site-specific and efficient control of weeds, pathogens and insects in agricultural crops and in forestry. The development and use of autonomous tractors equipped with innovative sensor systems, data processing techniques and actuation tools can be highly beneficial because this technology allows pest control measures to be applied only if, when, and where they are genuinely needed, thus reducing costs, environmental damage and risks to farmers. RHEA (Robotics and associated High-technologies and Equipment for Agriculture) is an EC-funded research project conducted by a consortium composed of 15 research partners from eight European countries. The focus of the project is the design, development and testing of a new generation of automatic and robotic systems for both chemical and physical pest management. A heterogeneous fleet of small, cooperative ground and aerial robots equipped with advanced sensors, enhanced end effectors and improved decision control algorithms will be used. Initially, we are investigating three major scenarios: (a) chemical weed control in winter wheat, (b) thermal weed control (i.e., flaming) in maize and (c) variable applications of pesticides in olive crops. A preliminary system evaluation demonstrated that the intelligent sprayer boom applied the control agent to over 95% of the target area and that the response time, 10s, of the direct-injection system was anticipated in the sprayer system to ensure the accuracy of herbicide spraying. Field trial results showed that the estimated cost for site-specific flame weeding was approximately 24€ha−1, whereas approximately 52€ha−1 was needed to perform a conventional broadcast treatment. Thus, the use of VRA (Variable Rate Application) flaming reduces the use of liquid petroleum gas (cost savings of 28€ha−1). The results also indicated that the control system, mounted on a prototype, air-blast sprayer design, produced a precise system response to variation in the target features, an approximate accuracy of 0.1m in horizontal resolution and a rapid ac |
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ISSN: | 0168-1699 1872-7107 |
DOI: | 10.1016/j.compag.2014.11.010 |