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Remote Sensing and High-Throughput Techniques to Phenotype Crops for Drought Tolerance

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Soil-Water, Agriculture, and Climate Change

Part of the book series: Water Science and Technology Library ((WSTL,volume 113))

Abstract

Drought is an inevitable consequence of climate change. Therefore, newer crop varieties are required which are resilient to drought stress. Though there are extensive breeding programs for numerous crops, traditional breeding process is slow. Phenotyping crops for physiological and morphological traits could be used as proxies for drought tolerance traits. However, extensive in-situ field data collection is constrained by time and resources. Remote data collection and machine learning techniques for analysis offer a high-throughput phenotyping (HTP) alternative to manual measurements that could help breeding for stress tolerance. In this chapter we would discuss recent advances and future of HTP techniques that could help in faster selection of desired genotypes. These techniques could be further extended to aid in variable rate input application such as irrigation and be a step towards precision agriculture. In this chapter we advocate for the use of newer technologies such as remote sensing, machine learning, and computer vision in plant breeding and agronomic decision making.

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Authors and Affiliations

  1. Blackland Research and Extension Center, Texas A&M Agrilife Research, Temple, TX, 76502, USA

    Sayantan Sarkar

  2. Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada

    Abhijit Rai

  3. Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification, Kansas State University, Manhattan, KS, 66506, USA

    Prakash Kumar Jha

Authors
  1. Sayantan Sarkar
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  2. Abhijit Rai
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  3. Prakash Kumar Jha
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Correspondence to Sayantan Sarkar .

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Editors and Affiliations

  1. Seoul National University of Science and Environmental Engineering, Seoul, Korea (Republic of)

    Swatantra Kumar Dubey

  2. Kansas State University, Manhattan, KS, USA

    Prakash Kumar Jha

  3. Faculty of Environment, University of Waterloo, Waterloo, ON, Canada

    Pankaj Kumar Gupta

  4. University of California, Merced, CA, USA

    Aliva Nanda

  5. Indian Institute of Technology Mandi, Himachal Pradesh, India

    Vivek Gupta

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Sarkar, S., Rai, A., Jha, P.K. (2022). Remote Sensing and High-Throughput Techniques to Phenotype Crops for Drought Tolerance. In: Dubey, S.K., Jha, P.K., Gupta, P.K., Nanda, A., Gupta, V. (eds) Soil-Water, Agriculture, and Climate Change. Water Science and Technology Library, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-031-12059-6_7

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