Crop disease management is a challenge for farmers worldwide due to its influence on their yields and profits during the growing season. Adopting predictive model tools is an alternative for preventing and controlling disease outbreaks in agriculture that can help in their decision-making for achieving higher yields. In this episode, FarmBits hosts Jose Cesario, and Deepak Ghimire interviewed Dr. Carlos Pizolotto, a plant pathologist at Central Cooperative Gaúcha Ltda (CCGL) in Brazil. Check out this episode to learn more about his research and knowledge about predictive models for disease management in agriculture.
Dr. Pizolotto's Contact Information:
- Email: carlos.pizolotto@ccgl.com.br
- LinkedIn: https://www.linkedin.com/in/carlos-augusto-pizolotto-6311a2186
FarmBits Contact Information:
- Email: farmbits@unl.edu
- Twitter: https://twitter.com/UNLFarmBits
- Facebook: https://www.facebook.com/UNLFarmBits
- Jose's Twitter: https://twitter.com/josegcesario
- Jose's LinkedIn: https://www.linkedin.com/in/jose-guilherme-cesario-pereira-pinto
- Deepak's Twitter: https://twitter.com/agrideepak093
- Deepak's LinkedIn: https://www.linkedin.com/in/deepak-ghimire
Opinions expressed by the hosts and guests on this podcast are solely their own, and do not reflect the views of Nebraska Extension or the University of Nebraska-Lincoln.
