Soil sensors and plant wearables play a critical role in smart and precision agriculture via
monitoring real‐time physical and chemical signals in the soil, such as temperature …

Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

Accurately estimating potato above-ground biomass (AGB), which is closely associated with
the growth and yield of crops, carries significant importance for guiding field management …

The remote sensing (RS) technique is less cost-and labour-intensive than ground-based
surveys for diverse applications in agriculture. Machine learning (ML), a branch of artificial …

In an effort to improve plant growth and to achieve high yield and/or quality, irrigation
scheduling (IS) seeks to provide plants with appropriate quantities of water at appropriate …

In the last few years, large efforts have been made to develop new methods to optimize
stress detection in crop fields. Thus, plant phenoty** based on imaging techniques has …

Precision agriculture dates back to the middle of the 1980's. Remote sensing applications in
precision agriculture began with sensors for soil organic matter, and have quickly diversified …

There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …

Plant phenoty** forms the core of crop breeding, allowing breeders to build on
physiological traits and mechanistic science to inform their selection of material for crossing …

Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …