Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Grassland systems frequently exhibit small‐scale botanical and structural heterogeneity with
pronounced spatio‐temporal dynamics. These features present particular challenges for …

Fractional green canopy cover (FGCC) is a key diagnostic variable that can be used to
estimate canopy development, light interception, and evapotranspiration partitioning …

Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and
environmental studies. Due to rapid advances in unmanned aerial vehicle (UAV) and sensor …

Color is a major component of the aesthetic quality of turf and often evaluated in field
studies. Digital image analysis may be an improved, objective method to quantify turf color …

Integrating cover crops (CC) in rotations provides multiple ecological services, but it must be
ensured that management does not increase pre-emptive competition with the subsequent …

Measuring percent occurrence of objects from digital images can save time and expense
relative to conventional field measurements. However, the accuracy of image analysis had …

This study presents a comparative study of multispectral and RGB (red, green, and blue)
sensor-based cotton canopy cover modelling using multi-temporal unmanned aircraft …

Abstract Background Maize (Zea mays L.) is the third most consumed grain in the world and
improving maize yield is of great importance of the world food security, especially under …

Techniques using digital image analysis have been recently developed to evaluate turfgrass
stands for percent green cover and average color. Manually analyzing digital images may …