In order to meet the demand for increased global food production under limited water
resources, implementation of suitable irrigation scheduling technique is crucial, particularly …

The past few years have seen increased interest in unmanned aerial vehicle (UAV)-based
hyperspectral imaging (HSI) and machine learning (ML) in agricultural research …

Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …

Remote sensors, onboard orbital platforms, aircraft, or unmanned aerial vehicles (UAVs)
have emerged as a promising technology to enhance our understanding of changes in …

In this study hyperspectral imaging (380–1020 nm) and machine learning were utilised to
develop a technique for detecting different disease development stages (asymptomatic …

Background Spectral imaging is a key method for high throughput phenotyping that can be
related to a large variety of biological parameters. The Normalised Difference Vegetation …

Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …

A remote sensing technique was developed to detect citrus canker in laboratory conditions
and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the …

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 …

Remote sensing can provide a fast and reliable alternative for traditional in situ water status
measurement in vineyards. Several vegetation indices (VIs) derived from aerial multispectral …