The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Investment in technological research is imperative to stimulate the development of
sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and …

Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

Most conventional sprayers apply agrochemicals uniformly, despite the fact that distribution
of weeds is typically patchy, resulting in wastage of valuable compounds, increased costs …

Traditional sensing technologies in specialty crops production, for pest and disease
detection and field phenoty**, rely on manual sampling and are time consuming and labor …

Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …

Traditional plant breeding evaluation methods are time-consuming, labor-intensive, and
costly. Accurate and rapid phenotypic trait data acquisition and analysis can improve …

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

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 …