Abstract
Many environmental problems cover large areas, often in rough terrain constrained by natural obstacles, which makes intervention difficult. New technologies, such as unmanned aerial units, may help to address this issue. Due to their suitability to access and easily cover large areas, unmanned aerial units may be used to inspect the terrain and make a first assessment of the affected areas; however, these platforms do not currently have the capability to implement intervention.
This paper proposes integrating autonomous aerial inspection with ground intervention to address environmental problems. Aerial units may be used to easily obtain relevant data about the environment, and ground units may use this information to perform the intervention more efficiently.
Furthermore, an overall system to manage these combined missions, composed of aerial inspections and ground interventions performed by autonomous robots, is proposed and implemented.
The approach was tested on an agricultural scenario, in which the weeds in a crop had to be killed by spraying herbicide on them. The scenario was addressed using a real mixed fleet composed of drones and tractors. The drones were used to inspect the field and to detect weeds and to provide the tractors the exact coordinates to only spray the weeds. This aerial and ground mission collaboration may save a large amount of herbicide and hence significantly reduce the environmental pollution and the treatment cost, considering the results of several research works that conclude that actual extensive crops are affected by less than a 40% of weed in the worst cases
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References
Gaudin, S.: MIT builds swimming, oil-eating robots. Computerworld, August 26, 2010. http://www.computerworld.com/article/2514966/emerging-technology/mit-builds-swimming–oil-eating-robots.html
Casbeer, D.W., Beard, R.W., McLain, T.W., Li, S.M., Mehra, R.K.: Forest fire monitoring with multiple small UAVs. In: American Control Conference 2005 (2005)
Nathan, M., Shaojie, S., Kartik, M., Yash, M., Vijay, K., Keiji, N., Yoshito, O., Seiga, K., Kazuki, O., Kazuya, Y., Kazunori, O., Eijiro, T., Satoshi, T.: Collaborative mapping of an earthquake-damaged building via ground and aerial robots. Journal of Field Robotics 29(5), 832–841 (2012)
Marshall, E.J.P.: Field-scale estimates of grass weed populations in arable land. Weed Research 28(3), 191–198 (1988)
Johnson, G.A., Mortensen, D.A., Martin, A.R.: A simulation of herbicide use based on weed spatial distribution. Weed Research 35(3), 197–205 (1995)
ECPA. Report Annual Review 2007 (2008). http://www.ecpa.be/files/ecpa/documentslive/22/18192_ECPA%202008%20Annual%20report.pdf
Pimentel, D., Acquay, H., Biltonen, M., Rice, P., Silva, M., Nelson, J., Lipner, V., Giordano, S., Horowitz, A., D’Amore, M.: Environmental and economic costs of pesticide use. BioScience 42, 750–758 (1992)
ECPA. Report Annual Review 2011 (2012). http://www.ecpa.eu/files/attachments/AnnualReport_web.pdf
Miller G.T.: Sustaining the Earth, 6th edn. Thompson Learning, Inc. Pacific Grove, California. Chapter 9, pp. 211–216 (2004)
Pierce, F.J., Nowak, P.: Aspects of Precision Agriculture. Advances in Agronomy 67, 1–85 (1999)
Torres-Sánchez, J., López-Granados, F., De Castro, A.I., Peña-Barragán, J.M.: Configuration and specifications of an unmanned aerial vehicle (UAV) for early site specific weed management. PLoS ONE 8(3) (2013)
Carballido, J., Perez-Ruiz, M., Gliever, C., Agüera, J.: Design, development and lab evaluation of a weed control sprayer to be used in robotic systems. In: First International Conference on Robotic and Associated High-Technologies and Equipment for Agriculture, Pisa, vol. 1, pp. 23–29 (2012)
Gerhards, R.: Managing weeds with respect to their spatial and temporal heterogeneity. In: 2nd Conference on Precision Crop Protection (2007)
Ruiz, D., Escribano, C., Fernandez-Quintanilla, C.: Assessing the opportunity for site-specific management of Avena sterilis in winter barley fields in Spain. Weed Research 46, 379–387 (2006)
RHEA project Website. http://www.rhea-project.eu
AirRobot Website. http://www.airrobot.de
Boomer 3050 Tractor Website. http://agriculture1.newholland.com/nar/en-us/equipment/products/tractors-telehandlers/boomer-3000-series/models
Emmi, L., Gonzalez-de-Soto, M., Pajares, G., Gonzalez-de-Santos, P.: Integrating Sensory/Actuation Systems in Agricultural Vehicles. Sensors 14, 4014–4049 (2014)
Rabatel, G., Labbé, S.: A fully automatized processing chain for high-resolution multispectral image acquisition of crop parcels by UAV. Precision agriculture 15(1), 135–141 (2015)
RHEA demo. http://www.rhea-project.eu/img/Videos/DEMO_short_version_01.mp4
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Conesa-Muñoz, J., Valente, J., del Cerro, J., Barrientos, A., Ribeiro, Á. (2016). Integrating Autonomous Aerial Scouting with Autonomous Ground Actuation to Reduce Chemical Pollution on Crop Soil. In: Reis, L., Moreira, A., Lima, P., Montano, L., Muñoz-Martinez, V. (eds) Robot 2015: Second Iberian Robotics Conference. Advances in Intelligent Systems and Computing, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-319-27149-1_4
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DOI: https://doi.org/10.1007/978-3-319-27149-1_4
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