The susceptibility to climate change concerns the coffee market worldwide due to possible
severe productivity losses. Brazil is the world's largest Arabica coffee producer and has …

Abstract Unmanned Aerial Vehicles (UAVs) combined with machine learning have a great
potential for crop yield estimation. In this study, a UAV equipped with an RGB (Red, Green …

Disease and pest alert models are able to generate information for agrochemical
applications only when needed, reducing costs and environmental impacts. With machine …

Several modelling tools reported the climate change impact on the coffee agrosystems. This
article has adopted a systematic approach to searching out information from the literature …

CONTEXT Coffee cultivation is important to Brazil's economy, positioning the country as a
global leader in production and export. Given the complex environmental and management …

Coffee production is significantly impacted by various diseases, predominantly those caused
by fungi. One such notable disease in coffee crops is caused by the fungus Phoma spp. This …

Timely and accurate prediction of arabica coffee yield is pivotal to support harvest planning
and to increase the profitability in the coffee industry. Currently, yield estimates are made by …

Nonuniform flowering leads to uneven ripening of fruits, which impairs harvesting efficiency
and the quality of the coffee. The aim of this study was to determine the water deficit level …

The sustainable management of coffee plants can enhance crop growth and yield,
improving the plant environment due to the increase in soil's water storage, leading to a …

Coffee is one of the most commonly traded agricultural commodities globally. It is important
for the livelihoods of over 25 million families worldwide, but it is also a crop sensitive to …