Comparative performance of ground vs. aerially assessed RGB and multispectral indices for early-growth evaluation of maize performance under phosphorus …

A Gracia-Romero, SC Kefauver… - Frontiers in Plant …, 2017 - frontiersin.org
Low soil fertility is one of the factors most limiting agricultural production, with phosphorus
deficiency being among the main factors, particularly in developing countries. To deal with …

Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques

ML Buchaillot, A Gracia-Romero, O Vergara-Diaz… - Sensors, 2019 - mdpi.com
Maize is the most cultivated cereal in Africa in terms of land area and production, but low soil
nitrogen availability often constrains yields. Developing new maize varieties with high and …

A novel remote sensing approach for prediction of maize yield under different conditions of nitrogen fertilization

O Vergara-Díaz, MA Zaman-Allah, B Masuka… - Frontiers in Plant …, 2016 - frontiersin.org
Maize crop production is constrained worldwide by nitrogen (N) availability and particularly
in poor tropical and subtropical soils. The development of affordable high-throughput crop …

Quickbird satellite and ground-based multispectral data correlations with agronomic parameters of irrigated maize grown in small plots

WC Bausch, AD Halvorson, J Cipra - Biosystems engineering, 2008 - Elsevier
Satellite remote sensing has not been practical for agronomic research conducted using
small plots due to spatial resolution issues. The objectives were to determine,(1) the …

Phenotyping conservation agriculture management effects on ground and aerial remote sensing assessments of maize hybrids performance in Zimbabwe

A Gracia-Romero, O Vergara-Díaz, C Thierfelder… - Remote Sensing, 2018 - mdpi.com
In the coming decades, Sub-Saharan Africa (SSA) faces challenges to sustainably increase
food production while keeping pace with continued population growth. Conservation …

Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service

Á Maresma, M Ariza, E Martínez, J Lloveras… - Remote Sensing, 2016 - mdpi.com
The growing use of commercial unmanned aerial vehicles (UAV) and the need to adjust N
fertilization rates in maize (Zea mays L.) currently constitute a key research issue. In this …

Multi-spatial resolution satellite and sUAS imagery for precision agriculture on smallholder farms in Malawi

BG Peter, JP Messina, JW Carroll, J Zhi… - … & Remote Sensing, 2020 - ingentaconnect.com
A collection of spectral indices, derived from a range of remote sensing imagery spatial
resolutions, are compared to on-farm measurements of maize chlorophyll content and yield …

Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade unmanned aerial vehicles multispectral imagery

J Liu, Y Zhu, X Tao, X Chen, X Li - Frontiers in Plant Science, 2022 - frontiersin.org
Rapid and accurate assessment of yield and nitrogen use efficiency (NUE) is essential for
growth monitoring, efficient utilization of fertilizer and precision management. This study …

Maize crop coefficient estimated from UAV-measured multispectral vegetation indices

Y Zhang, W Han, X Niu, G Li - Sensors, 2019 - mdpi.com
The rapid, accurate, and real-time estimation of crop coefficients at the farm scale is one of
the key prerequisites in precision agricultural water management. This study aimed to map …

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

M Zaman-Allah, O Vergara, JL Araus, A Tarekegne… - Plant methods, 2015 - Springer
Background Recent developments in unmanned aerial platforms (UAP) have provided
research opportunities in assessing land allocation and crop physiological traits, including …