There is an increasing pressure to reduce use of pesticides in modern crop production in order to decrease the environmental impact of current practice and to lower the cost of production. It is therefore important that spraying of chemicals only takes place when and where it is really needed. Since disease appearance in fields is frequently patchy, sprays may be applied unnecessarily to disease-free areas. The control of disease could be more efficient if disease patches within fields could first be identified and then phytosanitary chemicals are applied only to the infected areas. Recent developments in optical sensor technology and control systems provide the potential to enable direct detection of foliar diseases under field conditions and subsequent precise application of chemicals through targeted spraying.

Multisensor fusion of remote sensing data for crop disease detection / D. Moshou, I. Gravalos, D. Kateris, C. Bravo, R. Oberti, J.S. West, H. Ramon - In: Geospatial Techniques for Managing Environmental Resources / [a cura di] J.K. Thakur, S.K. Singh, AL. Ramanathan, M. Bala Krishna Prasad, W. Gossel. - [s.l] : Springer, 2012. - ISBN 9789400718579. - pp. 201-219 [10.1007/978-94-007-1858-6_13]

Multisensor fusion of remote sensing data for crop disease detection

R. Oberti;
2012

Abstract

There is an increasing pressure to reduce use of pesticides in modern crop production in order to decrease the environmental impact of current practice and to lower the cost of production. It is therefore important that spraying of chemicals only takes place when and where it is really needed. Since disease appearance in fields is frequently patchy, sprays may be applied unnecessarily to disease-free areas. The control of disease could be more efficient if disease patches within fields could first be identified and then phytosanitary chemicals are applied only to the infected areas. Recent developments in optical sensor technology and control systems provide the potential to enable direct detection of foliar diseases under field conditions and subsequent precise application of chemicals through targeted spraying.
Support Vector Machine; Sensor Fusion; Disease Detection; Remote Sensing Data; Yellow Rust
Settore AGR/09 - Meccanica Agraria
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/822696
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