Geospatial Techniques for Managing Environmental Resources

pp 201-219

Multisensor Fusion of Remote Sensing Data for Crop Disease Detection

  • Dimitrios MoshouAffiliated withDepartment of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University
  • , Ioannis GravalosAffiliated withDepartment of Biosystems Engineering, Technological Educational Institute of Larissa, School of Agricultural Technology
  • , Dimitrios Kateris Cedric BravoAffiliated withDivision of Mechatronics, Biostatistics and Sensors Department of Biosystems
  • , Roberto ObertiAffiliated withIstituto Di Ingegneria Agraria, Universita Degli Studi di Milano
  • , Jon S. WestAffiliated withPlant Pathology and Microbiology Department, Rothamsted Research Harpenden
  • , Herman RamonAffiliated withDivision of Mechatronics, Biostatistics and Sensors Department of Biosystems

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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.