The globe's population is increasing day by day, which causes the severe problem of
organic food for everyone. Farmers are becoming progressively conscious of the need to …

Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …

Automation in plant disease detection and diagnosis is one of the challenging research
areas that has gained significant attention in the agricultural sector. Traditional disease …

The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …

An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …

The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …

Highlights•Phenoty** technology can increase the throughput of plant screening in the
field.•Early season detection of plant diseases is key to reducing crop yield losses.•Disease …