Urs Schmidhalter

What is he best known for?

The fields of study he is best known for:

• Agriculture
• Agronomy
• Botany

The scientist’s investigation covers issues in Agronomy, Nutrient, Dry weight, Poaceae and Precision agriculture. His Agronomy research incorporates themes from Canopy and Nitrogen. His study in Nutrient is interdisciplinary in nature, drawing from both Photosynthesis, Sodium, Potassium, Shoot and Animal science.

The Dry weight study combines topics in areas such as Greenhouse and Sowing. His Poaceae study combines topics from a wide range of disciplines, such as Main stem, Grain yield, Horticulture and Water content. His Precision agriculture study also includes

• Crop which connect with Dry matter, Biomass, Normalized Difference Vegetation Index and Vegetation,
• Remote sensing that intertwine with fields like Pixel.

His most cited work include:

• Drought and salinity: A comparison of their effects on mineral nutrition of plants (601 citations)
• Short-term and residual availability of nitrogen after long-term application of organic fertilizers on arable land (248 citations)
• Evaluating salt tolerance of wheat genotypes using multiple parameters (189 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Agronomy, Nitrogen, Soil water, Cultivar and Horticulture. His Agronomy research integrates issues from Canopy and Nutrient. His Nitrogen study also includes fields such as

• Precision agriculture, which have a strong connection to Remote sensing,
• Urea that connect with fields like Ammonia.

In his work, Irrigation is strongly intertwined with Water content, which is a subfield of Soil water. His Cultivar study integrates concerns from other disciplines, such as Partial least squares regression, Vegetation and Plant breeding. His Horticulture research includes elements of Poaceae and Botany.

He most often published in these fields:

• Agronomy (57.31%)
• Nitrogen (19.62%)
• Soil water (16.15%)

What were the highlights of his more recent work (between 2017-2021)?

• Agronomy (57.31%)
• Nitrogen (19.62%)
• Hyperspectral imaging (7.69%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Agronomy, Nitrogen, Hyperspectral imaging, Cultivar and Red edge. His biological study spans a wide range of topics, including Soil water and Ecotype. His work on Soil pH as part of general Soil water research is frequently linked to Lime, thereby connecting diverse disciplines of science.

His work focuses on many connections between Nitrogen and other disciplines, such as Winter wheat, that overlap with his field of interest in N status. His Hyperspectral imaging study combines topics in areas such as Partial least squares regression and Water-use efficiency. The study incorporates disciplines such as Greenhouse, Dry matter and Sowing in addition to Cultivar.

Between 2017 and 2021, his most popular works were:

• Evaluation of wavelengths and spectral reflectance indices for high-throughput assessment of growth, water relations and ion contents of wheat irrigated with saline water (21 citations)
• Evaluating RGB Imaging and Multispectral Active and Hyperspectral Passive Sensing for Assessing Early Plant Vigor in Winter Wheat. (20 citations)
• Interaction of soil pH and phosphorus efficacy: Long-term effects of P fertilizer and lime applications on wheat, barley, and sugar beet (19 citations)

In his most recent research, the most cited papers focused on:

• Agriculture
• Botany
• Agronomy

Red edge, Agronomy, Hyperspectral imaging, Field experiment and Partial least squares regression are his primary areas of study. His work deals with themes such as Photosynthesis, Transpiration, Nitrogen and Soil water, Soil pH, which intersect with Agronomy. He has included themes like Canopy and Water-use efficiency in his Hyperspectral imaging study.

His research investigates the connection between Field experiment and topics such as Grain yield that intersect with issues in Dry matter. His Partial least squares regression research also works with subjects such as

• Linear regression which intersects with area such as Saline water and Water content,
• Soil science that connect with fields like Irrigation, Response factor and Water resources. His research in Vegetation intersects with topics in Cultivar, Multispectral image, Crop and Winter wheat.