Detailed knowledge of the intra‐field variability of soil properties and crop characteristics is
indispensable for the establishment of sustainable precision agriculture. We present an …

The identification of zones within an agricultural field that respond differently to
environmental factors and agronomic management is a key requirement for the adoption of …

In contrast with classic bench-top hyperspectral (multispectral)-sensor-based instruments
(spectrophotometers), the portable ones are rugged, relatively inexpensive, and simple to …

Proximal soil sensing platforms can provide high-density yet affordable sensor data to
describe agricultural field variability. The availability of such data, along with recent …

In addition to the overview of diversity in soil sensing technologies, this chapter presents four
case studies to illustrate the practical use of these technologies to enhance precision …

Agriculture has undergone some very important changes over the last few decades. The
emergence and evolution of precision agriculture has allowed to move from the uniform site …

Mapping the within-field variability of soil properties is essential for precision agriculture.
This work aims to develop an efficient approach to mapping soil properties using proximal …

Drones can be very helpful in precision agriculture. Currently, most drone-based solutions
for plant disease detection incorporate multispectral, hyperspectral, or thermal cameras …

There is potential use of proximal soil sensors (PSS) to contribute to soil surveys and
improve their results, and this study focused on the evaluation of this potential. An analysis …

Agricultural fields are inherently variable across both space and time but are commonly
managed uniformly. Uniform management can simultaneously lead to an under and over …