Krogmeier, J

Oliveira, M.F

Müllich, A

Figueiredo, G.K

Canal Filho, R

Authors

Wang, Y

Balmos, A

Krogmeier, J

Buckmaster, D

Krogmeier, J

Buckmaster, D

Ault, A

Wang, Y

Zhang, Y

Layton, A

Noel, S

Balmos, A

Oliveira, M.F

Carneiro, F.M

Thurmond, M

del Val, M.D

Oliveira, L.P

Ortiz, B

Sanz-Saez, A

Tedesco, D

Oliveira, M.F

Morata, G.T

Ortiz, B

Silva, R.P

Jimenez, A

Pereira, F.R

Dos Reis, A.A

Freitas, R.G

Oliveira, S.R

Amaral, L.R

Figueiredo, G.K

Antunes, J.F

Lamparelli, R.A

Moro, E

Pereira, N.D

Magalhães, P.S

Pereira, F.R

Lima, J.P

Freitas, R.G

Dos Reis, A.A

Amaral, L.R

Figueiredo, G.K

Lamparelli, R.A

Pereira, J.C

Magalhães, P.S

Oliveira, M.F

Ortiz, B.V

Hanyabui, E

Costa Souza, J.B

Sanz-Saez, A

Luns Hatum de Almeida , S

Pilcon, C

Vellidis, G

Basir, M.S

Krogmeier, J

Zhang, Y

Buckmaster, D

Jha, S

Krogmeier, J

Buckmaster, D

Love, D.J

Grant, R.H

Crawford, M

Brinton, C

Wang, C

Cappelleri, D

Balmos, A

Zhang, Y

Bailey, J

Balmos, A

Castiblanco Rubio, F.A

Krogmeier, J

Buckmaster, D

Love, D

Zhang, J

Allen, M

Balboa, G

Masnello, J.C

De Oliveira Moreira, F

Canal Filho, R

Da Silva, E.R

Molin, J.P

Canal Filho, R

Molin, J.P

de Goes Sterle, L

Ferraz, V

SOUZA, J

Lucas da Silva Ferreira , J

Luns, S

Oliveira, M.F

Sousa, W

de Goes Sterle, L

Canal Filho, R

Ferraz, V

Gelain, M

Molin, J.P

Bedum, G.V

Colaço, A

Gelain, M

Canal Filho, R

Molin, J.P

Otavio da Silva, E

Bedum, G.V

Molin, J.P

Canal Filho, R

Otavio da Silva, E

Molin, J.P

Canal Filho, R

Cherubin, M.R

Silveira Pavão, L

Müllich, A

Rolim Farias da Silva, E

Cavalcanti, R

Silveira de Farias, M

Maldaner, I

Sgarbossa, J

, L

Kern, L.G

Kaefer Seganfredo, G

da Silva, G.B

Pegoraro, V.C

Rolim Farias da Silva, E

Lüdtke, L

Ductra Bortolotti, G

Maldaner, I

, L

Sgarbossa, J

Silveira Pavão, L

Müllich, A

Kaefer Seganfredo, G

Kern, L.G

Silveira Pavão, L

Müllich, A

Maldaner, I

Sgarbossa, J

, L

Rolim Farias da Silva, E

Farias, M.S

Müllich, A

Topics

Big Data, Data Mining and Deep Learning

Profitability and Success Stories in Precision Agriculture

Big Data, Data Mining and Deep Learning

In-Season Nitrogen Management

Proximal and Remote Sensing of Soils and Crops (including Phenotyping)

Data Analytics for Production Ag

Big Data, Data Mining and Deep Learning

Edge Computing and Cloud Solutions

Demonstration

Precision Agriculture for Sustainability and Environmental Protection

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Site-Specific Nutrient, Lime and Seed Management

UAV-Based Scouting, Imaging, and Targeted Applications

Digital Solutions for Soil Health, Water Quality, and Conservation Practices

Precision Crop Protection, Pest, and Plant Health

Workshops

Type

Poster

Oral

Year

2018

2022

2024

2026