Detecting interactive effects of N fertilization and heat stress on maize productivity by remote sensing techniques
By A. Elazab, Raziel A. Ordóñez, R. Savin, G. Slafer, Jose Luis Araus. 2016
48 citations recorded by the source corpus.
Subfields: Agronomy and Crop Science, Ecology, Plant Science
View Paper: https://www.semanticscholar.org/paper/e403eaf9903ac919860405a7b5a4214db4353e32
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In Agronomy and Crop Science
In Ecology
In Plant Science
Citations in the corpus
- Translating High-Throughput Phenotyping into Genetic Gain (2018, background): “Vegetation indices derived from RGB images (Figure I) have shown their value as an affordable means of assessing genotypic differences in grain yield in response to a wide range of stress conditions including water stress [88], low nitrogen [67,89], heat [90], or biotic stresses like yellow rust [91”
- Crop Phenomics and High-throughput Phenotyping: Past Decades, Current Challenges and Future Perspectives. (2020, unknown): “Aconsumer-gradeRGBcameracanbeused togenerate a range of RGB VIs, which have been found to have good performance in the assessment of stressconditions, suchas lownitrogen (Elazab et al., 2016) and biotic stress (Vergara-Diaz et al.”