APPLICATION OF REMOTE SENSING AND MACHINE LEARNING FOR CROP PRODUCTION FORECASTING DURING CRISES

PDF

AUTHOR

Racine Ly and Khadim Dia

SERIES NAME

COVID-19

YEAR

2020

ABSTRACT

The introduction of confinement and other measures to control the pandemic make the situation even more diffi cult. There is no way of knowing whether farmers have access to inputs, in time or in adequate quantities, whether they have been too sick to tend to their farmers or could work only partially. One would eventually fi nd out at the end of the growing season from the impact of harvested quantities. One is then left to play catch up to deal with a crisis situation. The complete lack of information about growing conditions can be overcome by using today‚Äôs digital technologies. 

PUBLISHER

AKADEMIYA2063

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