During the last decade, the combination of digital images and machine learning techniques
for tackling agricultural problems has been one of the most explored elements of digital …

Abstract [Jill E. Cairns] The ability to quickly develop germplasm having tolerance to several
complex polygenic inherited abiotic and biotic stresses combined is critical to the resilience …

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 …

In this study a new android app for smartphones to estimate chlorophyll content of a corn
leaf is presented. Contact imaging was used for image acquisition from the corn leaves …

Abstract Soybean (Glycine max (L.) Merrill) leaf chlorophyll content is indicative of the plant
growth and health issues. However, chlorophyll measurement using the standard chemical …

Leaf color is correlated with nitrogen content, and detection of nitrogen content in rice leaves
is important for guiding farmers in applying fertilizer. However, the performance of existing …

High-throughput sequencing technologies (HSTs) have revolutionized crop breeding. The
advent of these technologies has enabled the identification of beneficial quantitative trait loci …

A field experiment was carried out to evaluate the effect of green manure and nitrogen
fertilizer on morpho-physiological traits, yield and post-harvest nutrient status of the soil …

Newly developed non-destructive fluorescence-based indices were used to evaluate
nitrogen (N) fertilization rates and leaf nitrogen content in Paspalum vaginatum and Zoysia …

The development of small unmanned aerial vehicles and advances in sensor technology
have made consumer digital cameras suitable for the remote sensing of vegetation. In this …