Leonardo Afonso Angeli Menegatti

• Abstract

  The need to optimize agricultural management and the resources applied in the productive areas leads to seek more diverse technologies and bring them to the reality of agriculture. Increasing product levels, optimizing profits and minimizing costs are common objectives for all those involved in the activities of the Agro. To assist in this mission, the identification of regions with the s…

  Development of an algorithm based on artificial intelligence to define potencial yield management zones, AP.PIPE

• Abstract

  Soil nutrient Dynamics are being studied along the years and a great amount of knowledge has being accumulated. At the same time, weather information from agricultura areas across Brazil are being collected in a way never expected before. The soil chemical analysis is the most used tool to access soil fertility levels and prescribe recommendations for fertilizations and amendments. The ob…

  Soil fertility prediction based on inputs and outputs modeling, AP.PIPE

• Development of an algorithm based on artificial intelligence to define potential yield management zones, BP.TT
• Development of an algorithm based on artificial intelligence to define potential yield management zones, BP.TT
• Soil fertility prediction based on inputs and outputs modeling, BP.TT

(Only some records are available in English at this moment)