High-Throughput Phenotyping and Its Importance in Host Plant Resistance
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7520-4_12
Reference155 articles.
1. Adasme-Carreño F, Muñoz-Gutiérrez C, Salinas-Cornejo J, Ramírez CC (2015) A2EPG: a new software for the analysis of electrical penetration graphs to study plant probing behaviour of hemipteran insects. Comput Electron Agric 113:128–135
2. Ali MM, Hashim N, Abd Aziz S, Lasekan O (2022) Quality prediction of different pineapple (Ananas comosus) varieties during storage using infrared thermal imaging technique. Food Control 138:108988
3. Araus JL, Kefauver SC, Zaman-Allah M, Olsen MS, Cairns JE (2018) Translating high-throughput phenotyping into genetic gain. Trends in Plant Sci 23:451–466
4. Arya S, Sandhu KS, Singh J (2022) Deep learning: as the new frontier in high-throughput plant phenotyping. Euphytica 218:1–22
5. Azzam O, Chancellor TC (2002) The biology, epidemiology, and management of rice tungro disease in Asia. Plant Dis 86(2):88–100
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