Principal Component Analysis Based Polynomial Chaos Expansion Regression of Leaf Area Index from Polsar Imagery

Çelik, Mehmet Furkan; Erten, Esra

doi:10.1109/igarss47720.2021.9554929

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…708 showed minimum leaf area index (Table 2). Celik and Erten (2021) tested oat genotypes noticed significant variability for leaf area index.…”

Section: Leaf Area Indexmentioning

confidence: 97%

Evaluation of oat accessions for different agronomic traits under agro-climatic conditions of narc Islamabad

Sajjad Khan,

Kianat Bibi,

Fahad Karim Awn

et al. 2022

JASE

View full text Add to dashboard Cite

Oat is one of the most commonly planted forages and a significant component of crop rotation in a farming system. Keeping in view the importance of oat crop, seven oat accessions were evaluated at National Agriculture Research Center, Islamabad during Rabi season 2020-21. Randomized complete block design with three replications with row to row distance 30 cm was maintained for sowing the aforementioned oat accessions. Significant variation was observed for all the studied traits except plant height and leaves tiller-1. Highest mean values were observed for Jasper and Local Saryab for number of tillers plant-1 whereas Jasper was found to have maximum values for leaf area tiller-1 and leaf area index as well. Maximum flag leaf area was displayed by accession PP2-LV65 while the highest plant height was achieved by accession Local DIK. Maximum leaves tiller-1 was exhibited by S. 2000 while Local T.Jam achieved maximum green fodder yield and maximum dry matter yield t/ha. On the basis of high values for green fodder and dry matter yield Local T.Jam can be used for onward use for variety development.

show abstract

“…708 showed minimum leaf area index (Table 2). Celik and Erten (2021) tested oat genotypes noticed significant variability for leaf area index.…”

Section: Leaf Area Indexmentioning

confidence: 97%

Evaluation of oat accessions for different agronomic traits under agro-climatic conditions of narc Islamabad

Sajjad Khan,

Kianat Bibi,

Fahad Karim Awn

et al. 2022

JASE

View full text Add to dashboard Cite

show abstract

Biophysical parameter estimation of crops from polarimetric synthetic aperture radar imagery with data-driven polynomial chaos expansion and global sensitivity analysis

Çelik

Erten

2022

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

Principal Component Analysis Based Polynomial Chaos Expansion Regression of Leaf Area Index from Polsar Imagery

Cited by 2 publications

References 9 publications

Evaluation of oat accessions for different agronomic traits under agro-climatic conditions of narc Islamabad

Evaluation of oat accessions for different agronomic traits under agro-climatic conditions of narc Islamabad

Biophysical parameter estimation of crops from polarimetric synthetic aperture radar imagery with data-driven polynomial chaos expansion and global sensitivity analysis

Contact Info

Product

Resources

About