Paraforos, D

Lowenberg-DeBoer, J

Spiesman, B

Authors

Erickson, B.J

Lowenberg-DeBoer, J

Karampoiki, M

Todman, L

Mahmood, S

Murdoch, A

Paraforos, D

Hammond, J

Ranieri, E

Ferreyra, R

Lehmann, J

Lowenberg-DeBoer, J

Al Amin, A

Lowenberg-DeBoer, J

Franklin, K.F

Dickin, E

Monaghan, J

Behrendt, K

McFadden, J

Erickson, B

Lowenberg-DeBoer, J

Milics, G

Maritan, E

Behrendt, K

Lowenberg-DeBoer, J

Morgan, S

Rutter, M.S

Spiesman, B

Grijalva, I

Holthaus, D

McCornack, B

Rozenstein, O

Cohen, Y

Alchanatis , V

Behrendt, K

Bonfil, D.J

Eshel, G

Harari, A

Harris, W.E

Klapp, I

Laor, Y

Linker, R

Paz-Kagan, T

Peets, S

Rutter, M.S

Salzer, Y

Lowenberg-DeBoer, J

Grijalva Teran, I.A

Spiesman, B

Clark, N

McCornack, B

Topics

Factors Driving Adoption

Big Data, Data Mining and Deep Learning

Precision Agriculture and Global Food Security

Profitability and Success Stories in Precision Agriculture

Drivers and Barriers to Adoption of Precision Ag Technologies or Digital Agriculture

Site-Specific Pasture Management

Big Data, Data Mining and Deep Learning

Artificial Intelligence (AI) in Agriculture

Type

Oral

Poster

Year

2022

2024