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Artificial Intelligence (AI) in Agriculture

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Authors

Acconcia Dias, M

Acosta, M

Adamchuk, V

Admasu, W.A

Agarwal, D

Almeida, S.L

Ampatzidis, Y

Anup, A

Armstrong, P.R

Ayipio, E

Bai, F

Balabantaray, A

Balint-Kurti, P

Bao, Y

Barbosa, M

Bazzi, C.L

Bennett, B

Berger-Wolf, T

Berretta, B.G

Bhandari, M

Bhandari, S

Boatswain Jacques, A.A

Bortolon, G

Buckmaster, D

Burks, T

Busby, S

Byrne, D

CARCEDO, A

Cambouris, A

Campos, S

Chamara, N

Ciampitti, I

Cisdeli Magalhães, P

Clark, N

Clay, D.E

Colbert, J

Cook, S

Cordova Gonzalez, C

Correndo, A

Dean, R

Deri Setiyono, T

Dewdney, M

Diallo, A.B

Dill, T

Drewry, D

Duron, D

Engle, J

Erazo, E

Evans, F

Evans, J

Fallon, E

Felipe dos Santos, A

Frederick, Q

Freire de Oliveira, M.F

Fulton, J.P

Gardezi, M

Ge, Y

Gerken, A.R

Ghansah, B

Glavin, M

Grijalva Teran, I.A

Hanyabui, E

Harkin, S.J

Harsha Chepally, R

Hernandez, C

Holland, K.H

Hong, C

Hostert, P

Huang, Z

Jakimow, B

Janz, A

Joseph, K

Joshi, D

Kalra, A

Katari, S

Khanal, S

Khosla, R

Kim, M

Krogmeier, J

Kudenov, M

Kulhandjian, H

Kulhandjian, M

Kumari, S

Kyveryga, P

Lacerda, L

Lacoste, M

Lajunen, A

Landivar, J

Lee, W

Li, L

Lindsey, L

Longchamps, L

Lord, E

Luck, J.D

Lukwesa, D

Machiraju, R

Mandal, D

Marziotte, L

McCornack, B

Menegasso, A.E

Moghadham, A

Moreira, B

Moreno, L.A

Mosquera, C

Murphy, J.M

Muvva, V

Nandi, A

Natarajan, B

Neupane, J

Nocera Santiago, G.N

Nugent, P

Ochoa, O

Oliveira, L

Oliveira, W.K

Orlando Costa Barboza, T

Ortez, O

Ortiz, B.V

Pal, P

Pereira de Souza, F

Pidaparti, R

Pilcon, C

Pitla, S

Pordesimo, L.O

Porter, C

Potlapally, A

Prestholt, A

Qin, J

Raheja, A

Rahman, M

Rai, S

Rathore, J

Rehman, T

Rocha, D

Rontani, F

Rossi, C

Ru, S

Sanz-Saez, A

Schenatto, K

Serfa Juan, R.O

Setiyono, T

Sharda, A

Shearer, S.A

Sherafat, A

Shiratsuchi, L

Siliveru, K

Silva, R.P

Sobjak, R

Souza, J.B

Spiesman, B

Spina, A.N

Stewart, C

Subramoni, H

Syed, H.H

Sysskind, M.N

Takkellapati, N

Tasissa, A

Tharzeen, A

Thippareddi, H

Thomas, L

Tremblay, N

Vellidis, G

Vincent, G

Walsh, O

Waltz, L

Wells, D

Williams, C.M

Yadav, P.K

Zhang, Y

Zhao, L

Zheng, J

Zhou, C

Zhu, C

tao, H

Topics

Artificial Intelligence (AI) in Agriculture

Workshops

Type

Poster

Oral

Year

2024

2018

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Topics

Filter results1 paper(s) found.
1. Optimal Placement of Soil Moisture Sensors in an Irrigated Corn Field Precision agricultural practices rely on characterization of spatially and temporally variable soil and crop properties to precisely synchronize inputs (water, fertilizer, etc.) to crop needs; thereby enhancing input use efficiency and farm profitability. Generally, the spatial dependency range for soil water content is shorter near the soil surface compared to deeper depths, suggesting a need for more sampling locations to accurately characterize near-surface soil water content. However, det... D. Mandal, L. Longchamps, R. Khosla

Filter results1 paper(s) found.

1. Optimal Placement of Soil Moisture Sensors in an Irrigated Corn Field

Precision agricultural practices rely on characterization of spatially and temporally variable soil and crop properties to precisely synchronize inputs (water, fertilizer, etc.) to crop needs; thereby enhancing input use efficiency and farm profitability. Generally, the spatial dependency range for soil water content is shorter near the soil surface compared to deeper depths, suggesting a need for more sampling locations to accurately characterize near-surface soil water content. However, det... D. Mandal, L. Longchamps, R. Khosla