Citation 2146
H-Index 25
i10-index 40

Data from Google Scholar and updated on 5 March 2020.

Integrating Crop Growth Models with Remote Sensing for Predicting Biomass Yield of Sorghum

Plant phenotypes are often descriptive, rather than predictive of crop performance. As a result, extensive testing is required in plant …

ModelingGlobal Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods

The detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population …

Establishing a value proposition for future traits in a climate-changing world.

Increasing climate variability is as great a concern as increasing air temperatures forecast with climate change. The challenge for …

A Weakly Supervised Deep Learning Framework for Sorghum Head Detection and Counting

The yield of cereal crops such as sorghum (Sorghum bicolor L. Moench) depends on the distribution of crop-heads in varying branching …

Role of genotypic variation in response to increasing temperatures in wheat