Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems | Zendy

Alexandra J. Burgess | Zendy; Renata Retkutė | Zendy; Michael P. Pound | Zendy; Sean Mayes | Zendy; Erik H. Murchie | Zendy

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Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems

Author(s) -

Alexandra J. Burgess,

Renata Retkutė,

Michael P. Pound,

Sean Mayes,

Erik H. Murchie

Publication year - 2016

Publication title -

annals of botany

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.567

H-Index - 176

eISSN - 1095-8290

pISSN - 0305-7364

DOI - 10.1093/aob/mcw242

Subject(s) - interception , intercropping , canopy , biology , shading , agronomy , photosynthesis , leaf area index , panicum miliaceum , crop , botany , ecology , computer science , computer graphics (images)

Intercropping systems contain two or more species simultaneously in close proximity. Due to contrasting features of the component crops, quantification of the light environment and photosynthetic productivity is extremely difficult. However it is an essential component of productivity. Here, a low-tech but high-resolution method is presented that can be applied to single- and multi-species cropping systems to facilitate characterization of the light environment. Different row layouts of an intercrop consisting of Bambara groundnut ( Vigna subterranea ) and proso millet ( Panicum miliaceum ) have been used as an example and the new opportunities presented by this approach have been analysed.

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