Partial least squares-discriminant analysis (PLS-DA) is a versatile algorithm that can be
used for predictive and descriptive modelling as well as for discriminative variable selection …

High-throughput field phenotyping has garnered major attention in recent years leading to
the development of several new protocols for recording various plant traits of interest …

Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

Surface water quality management is an important facet of the effort to meet increasing
demand for water. For that purpose, water quality must be monitored and assessed via the …

Improving photosynthesis to raise wheat yield potential has emerged as a major target for
wheat physiologists. Photosynthesis-related traits, such as nitrogen per unit leaf area …

Agriculture is the most critical sector for food supply on the earth, and it is also responsible
for supplying raw materials for other industrial productions. Currently, the growth in …

Salinity is a key factor limiting agricultural production worldwide. Recent advances in field
phenotyping have enabled the recording of the environmental history and dynamic …

Highlights•Affordable approaches are available for all aspects of the phenotyping
pipeline.•Affordable and precise high-throughput phenotyping is not incompatible.•RGB …

We explored the capability of fusing high dimensional phenotypic trait (phenomic) data with
a machine learning (ML) approach to provide plant breeders the tools to do both in-season …

Hyperspectral sensing technique can provide an exact and expeditious manner for effective
management of deficit irrigation through assessment of changes in plant water status in a …