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Similar to ICRISAT Governing Board 2019 PC meeting: Drylands in transition - Seeing the Unseen: Development of Early Detection Systems for Crop Pests and Diseases - by Dr Hari Kishan Sudini and team(20)

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ICRISAT Governing Board 2019 PC meeting: Drylands in transition - Seeing the Unseen: Development of Early Detection Systems for Crop Pests and Diseases - by Dr Hari Kishan Sudini and team

  1. Seeing the Unseen: Development of Early Detection Systems for Crop Pests and Diseases Program Committee meeting of ICRISAT Governing Board, 10th April, 2019 Drs Mamta Sharma, Rajan Sharma, Gopalakrishnan, Jaba Jagdish, Raju Ghosh & Hari Kishan Sudini Integrated Crop Management (ICM), Research Program-Asia
  2. Problem statement • Pests and diseases remain a major threat in realizing the potential yield of many improved cultivars in ICRISAT mandate crops • Disease and pest management strategies adopted based on visible symptoms are often ineffective and expensive (For eg. Soilborne diseases) • Visual assessment by human raters is time- consuming, and error prone Solution • Plant protection need new and innovative early detection, identification and assessment systems • Hyperspectral sensors and imaging techniques have shown an enormous potential to provide new insights into plant-pathogen interactions and for the early detection of pests and diseases An example of spectral reflectance curve of healthy and increasingly damaged plants (Ian MacRae, University of Minnesota)
  3. Hyperspectral imaging system • RGB, Multispectral & Hyperspectral imaging • Thermal imaging, Forward Looking Infrared Imagery (FLIR) • Microelectromechanical system (MEMS) technology • Electronic noses (conductive polymer based gas detectors for sensing VOCs) • Rapid and real-time • Non-invasive • Sensitive • Integration with remote sensing • Cost-effective Attributes Technologies Hyperspectral sensor setups typically consist of  hyperspectral sensor  light source (artificial or sunlight)  control unit for measuring Components can be mounted on different carrier platforms such as vehicles, robots, drones, UAVs
  4. Approach - Baseline Data ⁻ Greenhouse setup including susceptible/resistant cultivars ⁻ Artificial infestation with pathogen ⁻ Imaging and reflectance measurements ⁻ Calibration using algorithms ⁻ Field testing and refining ⁻ Greenhouse setup with and without adult moths ⁻ MEMS device & test on site ⁻ Calibration using algorithms, Field testing & refining Disease and pathogen detection Pest Detection Target pests & diseases Groundnut: stem rot & leaf spots Chickpea: wilt, Ascochyta blight & Helicoverpa Mahlein et.al., 2018
  5. calculate disease severity disease severity is linked to the geographic distribution combined distribution maps of multiple diseases canopy assessment with a hyperspectral imaging Applications/Relevant areas • Use hyperspectral sensors to identify wavelengths of interest, this can determine what wavelengths to look at with air-borne sensors • Resistance screening • Assessment of plant defense reactions • Combined distribution maps of multiple diseases/pests • Site-specific fungicide/pesticide application Teaming up In-house expertise University of Minnesota ABI incubate (Lean Agri.) Mahlein et.al., 2018
  6. Thank you for your attention
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