Water Management

Water management in agriculture impacts hydrological, climatological, and agronomical balance. So far, the most advanced ML-based applications are connected with the estimation of daily, weekly, or monthly evapotranspiration allowing for more effective use of irrigation systems and prediction of daily dew point temperature, which helps identify expected weather phenomena and estimate evapotranspiration and evaporation.
Water management process in agriculture impacts on hydrological, climatological, and agronomical balances. So far, the most advanced Machine Learning application is concerned with the estimation of daily, weekly, or monthly evapotranspiration allowing for more effective use of irrigation systems and prediction of daily dew point temperature, which helps to identify expected weather phenomena and estimate evapotranspiration.