Intercropping is both a well-established and yet novel agricultural practice, depending on
one's perspective. Such perspectives are principally governed by geographic location and …

The use of computational techniques increasingly permeates developmental biology, from
the acquisition, processing and analysis of experimental data to the construction of models …

Deep learning presents many opportunities for image-based plant phenotyping. Here we
consider the capability of deep convolutional neural networks to perform the leaf counting …

Shading by sunlit leaves causes a low red (R) to far-red (FR) ratio that results in a low
phytochrome stationary state (PSS). A low PSS induces an array of shade avoidance …

Interspecific differences in functional traits are a key factor for explaining the positive
diversity–productivity relationship in plant communities. However, the role of intraspecific …

Spatial configuration and plant phenotypic plasticity contribute to increased light capture in
relay intercropping, but there is little information on whether these factors also increase light …

This paper reviews the past and current trends of three-dimensional (3D) modeling and
reconstruction of plants and trees. These topics have been studied in multiple research …

Determining the optimal shape for greenhouses that is suitable for cold northern regions is
essential for non-seasonal fruit production. In the present study, a structural model was …

The crop canopy structure has a significant impact on greenhouse microclimate, in return,
the intercepted solar radiation and thermal properties of the plant canopy under greenhouse …

Growing mixtures of annual arable crop species or genotypes is a promising way to improve
crop production without increasing agricultural inputs. To design optimal crop mixtures …