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Muhammad Adeel Hassan
Civil Aviation Authority of Singapore
3Publications
2H-index
10Citations
Publications 3
Newest
Published on Apr 15, 2019in Plant Methods 3.17
Muhammad Adeel Hassan2
Estimated H-index: 2
(CAAS: Civil Aviation Authority of Singapore),
Mengjiao Yang2
Estimated H-index: 2
(Xinjiang Agricultural University)
+ 5 AuthorsZhonghu He48
Estimated H-index: 48
(CIMMYT: International Maize and Wheat Improvement Center)
Background Plant height is an important selection target since it is associated with yield potential, stability and particularly with lodging resistance in various environments. Rapid and cost-effective estimation of plant height from airborne devices using a digital surface model can be integrated with academic research and practical wheat breeding programs. A bi-parental wheat population consisting of 198 doubled haploid lines was used for time-series assessments of progress in reaching final ...
Published on May 1, 2019in Plant Science 3.79
Muhammad Adeel Hassan2
Estimated H-index: 2
(CAAS: Civil Aviation Authority of Singapore),
Mengjiao Yang2
Estimated H-index: 2
(Xinjiang Agricultural University)
+ 5 AuthorsZhonghu He48
Estimated H-index: 48
(CIMMYT: International Maize and Wheat Improvement Center)
Abstract Wheat improvement programs require rapid assessment of large numbers of individual plots across multiple environments. Vegetation indices (VIs) that are mainly associated with yield and yield-related physiological traits, and rapid evaluation of canopy normalized difference vegetation index (NDVI) can assist in-season selection. Multi-spectral imagery using unmanned aerial vehicles (UAV) can readily assess the VIs traits at various crop growth stages. Thirty-two wheat cultivars and bree...
Published on May 23, 2018in Remote Sensing 4.12
Muhammad Adeel Hassan2
Estimated H-index: 2
,
Mengjiao Yang2
Estimated H-index: 2
+ 4 AuthorsZhonghu He48
Estimated H-index: 48
Detection of senescence’s dynamics in crop breeding is time consuming and needs considerable details regarding its rate of progression and intensity. Normalized difference red-edge index (NDREI) along with four other spectral vegetative indices (SVIs) derived from unmanned aerial vehicle (UAV) based spatial imagery, were evaluated for rapid and accurate prediction of senescence. For this, 32 selected winter wheat genotypes were planted under full and limited irrigation treatments. Significant va...
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