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

With the advancement of remote sensing, it is now possible to identify and characterize
greenhouse gas emissions under deferment land uses. Given the above, this study aimed to …

Agriculture and soil management practices are closely related to CO 2 emissions in crop
fields. These practices directly interfere on the carbon dynamics between the land and …

Brazil is the largest producer of sugarcane (Saccharum spp.) in the world, and this crop's
response to climate and soil water storage is essential for optimal management and …

Multiple linear regression can efficiently forecast crop yields related to climatic conditions.
We can forecast coffee yield at least 5 mo prior to harvesting. An increase in T during …

Climate efficiency is an index that shows quantitative reduction related to production caused
by the drought. Using climate efficiency in zoning agricolas sure is a vanguard in …

Remote sensing has proven to be a vital tool for monitoring and forecasting the quality and
yield of crops. The utilization of innovative technologies such as Solar-Induced …

Accurate forecasts of cotton yield are of great interest for the development of the market,
increasing the sustainability of the sector worldwide. Thus, the objectives of this study were …

The great extension of the cultivated area, associated with the low water availability to
supply the sugarcane demand in the periods of drought and the high evapotranspiration …

This study aimed to estimate the minimum and maximum monthly air temperatures in the
sugarcane regions of Brazil. A 30-year historical series (1988-2018) of maximum (Tmax) …