A review of remote sensing methods for biomass feedstock production
Monitoring and maximization of bioenergy yield from biomass feedstock has recently
become a critically important goal for researchers. Remote sensing represents a potential …
become a critically important goal for researchers. Remote sensing represents a potential …
Natural variation in maize defense against insect herbivores
Genetic mapping projects with maize (Zea mays) have resulted in the identification of
numerous quantitative trait loci (QTL) that influence resistance to insect herbivores …
numerous quantitative trait loci (QTL) that influence resistance to insect herbivores …
Appropriateness of management zones for characterizing spatial variability of soil properties and irrigated corn yields across years
AR Schepers, JF Shanahan, MA Liebig… - Agronomy …, 2004 - Wiley Online Library
Recent precision‐agriculture research has focused on use of management zones (MZ) as a
method for variable application of inputs like N. The objectives of this study were to …
method for variable application of inputs like N. The objectives of this study were to …
Dynamic maize responses to aphid feeding are revealed by a time series of transcriptomic and metabolomic assays
As a response to insect attack, maize (Zea mays) has inducible defenses that involve large
changes in gene expression and metabolism. Piercing/sucking insects such as corn leaf …
changes in gene expression and metabolism. Piercing/sucking insects such as corn leaf …
Optimizing the nitrogen application rate for maize and wheat based on yield and environment on the Northern China Plain
Y Zhang, H Wang, Q Lei, J Luo, S Lindsey… - Science of the Total …, 2018 - Elsevier
Optimizing the nitrogen (N) application rate can increase crop yield while reducing the
environmental risks. However, the optimal N rates vary substantially when different targets …
environmental risks. However, the optimal N rates vary substantially when different targets …
By‐plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height
KW Freeman, K Girma, DB Arnall, RW Mullen… - Agronomy …, 2007 - Wiley Online Library
As research intensifies on developing precision agricultural practices for corn (Zea mays L.)
production, an important component will be to identify the scale at which these practices …
production, an important component will be to identify the scale at which these practices …
Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach
Easy-to-capture and robust plant status indicators are important factors when implementing
precision agriculture techniques on fields. In this study, aerial red, green and blue color …
precision agriculture techniques on fields. In this study, aerial red, green and blue color …
Active-optical sensors using red NDVI compared to red edge NDVI for prediction of corn grain yield in North Dakota, USA
Active-optical sensor readings from an N non-limiting area standard established within a
farm field are used to predict yield in the standard. Lower yield predictions from sensor …
farm field are used to predict yield in the standard. Lower yield predictions from sensor …
Prediction of maize grain yield before maturity using improved temporal height estimates of unmanned aerial systems
Core Ideas UAS captured increased genetic variation compared with manual terminal
height. There were small significant differences in ground filtering methods to extract plant …
height. There were small significant differences in ground filtering methods to extract plant …
Untangling the effects of shallow groundwater and soil texture as drivers of subfield‐scale yield variability
Water table depth (WTD), soil texture, and growing season weather conditions all play
critical roles in determining agricultural yield; however, the interactions among these three …
critical roles in determining agricultural yield; however, the interactions among these three …