UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs

O Bongomin, J Lamo, JM Guina… - The Plant Phenome …, 2024 - Wiley Online Library
We are in a race against time to combat climate change and increase food production by
70% to feed the ever‐growing world population, which is expected to double by 2050 …

Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations

A Adak, SC Murray, JD Washburn - New Phytologist, 2024 - Wiley Online Library
Quantifying the temporal or longitudinal growth dynamics of crops in diverse environmental
conditions is crucial for understanding plant development, requiring further modeling …

Field-based high-throughput phenotyping enhances phenomic and genomic predictions for grain yield and plant height across years in maize

A Adak, AJ DeSalvio, MA Arik… - G3: Genes, Genomes …, 2024 - academic.oup.com
Field-based phenomic prediction employs novel features, like vegetation indices (VIs) from
drone images, to predict key agronomic traits in maize, despite challenges in matching …

Adoption of unoccupied aerial systems in agricultural research

J Lachowiec, MJ Feldman, FI Matias… - The Plant Phenome …, 2024 - Wiley Online Library
A comprehensive survey and subject‐expert interviews conducted among agricultural
researchers investigated perceived value and barriers to the adoption of unoccupied aerial …

[PDF][PDF] CucumberAI: Cucumber fruit morphology identification system based on artificial intelligence

W Xue, H Ding, T Jin, J Meng, S Wang, Z Liu… - Plant …, 2015 - spj.science.org
Cucumber is an important vegetable crop that has high nutritional and economic value, and
is thus favored by consumers worldwide. Exploring an accurate and fast technique for …