Highlights and preliminary results for autonomous crop protection

© 2014 Elsevier B.V. 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 actuation response of approximately 100ms. Workshop and field experiments provide convincing evidence that autonomous agricultural vehicles equipped with intelligent implements represent an important step forward for optimizing pest control applications in sustainable row crop, orchard and cereal crop production systems.

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Main Authors: Pérez Ruiz, Manuel, González-de-Santos, Pablo, Ribeiro Seijas, Ángela, Fernández-Quintanilla, César, Peruzzi, A., Vieri, Marco, Tomic, S., Agüera, J.
Format: artículo biblioteca
Published: Elsevier
Subjects:RTK-GPS, Precision crop protection, Autonomous tractor, Precision agriculture,
Online Access:http://hdl.handle.net/10261/111004
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spelling dig-ica-es-10261-1110042023-01-25T15:15:12Z Highlights and preliminary results for autonomous crop protection Pérez Ruiz, Manuel González-de-Santos, Pablo Ribeiro Seijas, Ángela Fernández-Quintanilla, César Peruzzi, A. Vieri, Marco Tomic, S. Agüera, J. RTK-GPS Precision crop protection Autonomous tractor Precision agriculture © 2014 Elsevier B.V. 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 actuation response of approximately 100ms. Workshop and field experiments provide convincing evidence that autonomous agricultural vehicles equipped with intelligent implements represent an important step forward for optimizing pest control applications in sustainable row crop, orchard and cereal crop production systems. This project is funded in part by the 7th Framework Programme of the European Union under Grant Agreement No. 245986. The authors also want to express recognition to the RHEA beneficiaries: CSIC (Spain), CogVis (Austria), FTW (Austria), Cyberbotics (Switzerland), University of Pisa (Italy), University Complutense of Madrid (Spain), Tropical (Greece), AGROSAP (Spain), Polytechnic University of Madrid (Spain), AirRobot (Germany), University of Florence (Italy), IRSTEA (France), CNH (Belgium), Bluebotics (Switzerland) and CM (Italy). Peer Reviewed 2015 2015-02-23T11:09:38Z artículo http://purl.org/coar/resource_type/c_6501 Computers and Electronics in Agriculture 110: 150- 161 (2015) 0168-1699 http://hdl.handle.net/10261/111004 10.1016/j.compag.2014.11.010 #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/FP7/245986 https://doi.org/10.1016/j.compag.2014.11.010 none Elsevier
institution ICA ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ica-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICA España
topic RTK-GPS
Precision crop protection
Autonomous tractor
Precision agriculture
RTK-GPS
Precision crop protection
Autonomous tractor
Precision agriculture
spellingShingle RTK-GPS
Precision crop protection
Autonomous tractor
Precision agriculture
RTK-GPS
Precision crop protection
Autonomous tractor
Precision agriculture
Pérez Ruiz, Manuel
González-de-Santos, Pablo
Ribeiro Seijas, Ángela
Fernández-Quintanilla, César
Peruzzi, A.
Vieri, Marco
Tomic, S.
Agüera, J.
Highlights and preliminary results for autonomous crop protection
description © 2014 Elsevier B.V. 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 actuation response of approximately 100ms. Workshop and field experiments provide convincing evidence that autonomous agricultural vehicles equipped with intelligent implements represent an important step forward for optimizing pest control applications in sustainable row crop, orchard and cereal crop production systems.
format artículo
topic_facet RTK-GPS
Precision crop protection
Autonomous tractor
Precision agriculture
author Pérez Ruiz, Manuel
González-de-Santos, Pablo
Ribeiro Seijas, Ángela
Fernández-Quintanilla, César
Peruzzi, A.
Vieri, Marco
Tomic, S.
Agüera, J.
author_facet Pérez Ruiz, Manuel
González-de-Santos, Pablo
Ribeiro Seijas, Ángela
Fernández-Quintanilla, César
Peruzzi, A.
Vieri, Marco
Tomic, S.
Agüera, J.
author_sort Pérez Ruiz, Manuel
title Highlights and preliminary results for autonomous crop protection
title_short Highlights and preliminary results for autonomous crop protection
title_full Highlights and preliminary results for autonomous crop protection
title_fullStr Highlights and preliminary results for autonomous crop protection
title_full_unstemmed Highlights and preliminary results for autonomous crop protection
title_sort highlights and preliminary results for autonomous crop protection
publisher Elsevier
url http://hdl.handle.net/10261/111004
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