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Sensor Application in Managing In-season Crop Variability

Precision Dairy and Livestock Management

Food Security and Precision Agriculture

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Authors

Adamchuk, V.I

Alheit, K.V

Andriamandroso, A

Büscher, P

Bareth, G

Barros, M.F

Benavente, J.C

Berdugo, C

Bernardi, A.C

Bindelle, J

Bishop-Hurley, G

Bodson, B

Bronson, K

Brosnan, S

Busemeyer, L

Canata, T.F

Charvat, K

Chen, X

Choudhari, D.D

Cugnasca, C.E

Dao, T.H

Dehne, H

Destain, J

Destain, M

Drummond, S.T

Dumont, B

Duval, C

Ferguson, R.B

Fixen, P

Fumery, J

Ghinassi, G.P

Gnip, P

Gnyp, M.L

He, Y

Henry, D

Hillnhuetter, C

Hoffmann, C

Holland, K.H

Huang, L

Huang, S

Inamasu, R.Y

Jasper, J

Jezek, J

Jiang, R

Jin, H

Khosla, R

Kitchen, N.R

Klose, R

Krivanek, Z

Krumpholz, A

Lacey, R

Lamb, D.W

Lampinen, B

Lan, Y

Lebeau, F

Li, Q

Linz, A

Liu, F

Müller, M

Maack, D

Mahlein, A

Mansouri, M.M

Marquering, D

Martello, L.S

Martinon, V

Miao, Y

Moeller, K

Molin, J

Musil, M

Nayse, S.P

Oerke, E

Overs, L

Pagni, P

Pinkston, P

Porto, A.J

Portz, G

Rahe, F

Ruckelshausen, A

Santos, H.P

Schepers, J.S

Schneider, D

Shanahan, J.F

Shao, Y

Sharma, A

Shaver, T

Sheridan, A

Shi, Y

Shiratsuchi, L

Sikora, R.A

Singh, G

Singh, M

Slater, G

Slaughter, D

Sousa, R.V

Steiner, U

Suddth, K.S

Sudduth, K.A

Suh, C

Sun, Z

Tangerino, G.T

Taylor, R.K

Thiel, M

Trautz, D

Trotter, M.G

Twickler, P

Udompetaikul, V

Upadhyaya, S

Vancutsem, F

Vieri, M.P

Wadhai, V.M

Wang, N

Weiss, U

Westbrook, J

Westfall, D

Xu, X

Yao, Y

Zhang, H

Zhao, Y

Zhou, Y

http://icons.paqinteractive.com/16x16/ac, G

Topics

Sensor Application in Managing In-season Crop Variability

Precision Dairy and Livestock Management

Food Security and Precision Agriculture

Type

Oral

Poster

Year

2010

2014

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Topics

Filter results2 paper(s) found.
1. Investigation Of Crop Varieties At Different Growth Stages Using Optical Sensor Data Cotton, soybean and sorghum are economically important crops in Texas. Knowing the growing status of crops at different stages of growth is crucial to apply site-specific management and increase crop yield for farmers. Field experiments were initiated to measure cotton, soybean and sorghum plants growth status and spatial variability through the whole growing cycle. A ground-based active optical sensor, Greenseeker®, was used to collect the Normalized Difference Vegetation Index (NDVI) da... H. Zhang, Y. Lan, J. Westbrook, C. Suh, C. Hoffmann, R. Lacey Download paper
2. Comparison Of Spectral Indices Derived From Active Crop Canopy Sensors For Assessing Nitrogen And Water Status ... L. Shiratsuchi, R.B. Ferguson, J.F. Shanahan, V.I. Adamchuk, G. Slater Download paper

Filter results2 paper(s) found.

1. Investigation Of Crop Varieties At Different Growth Stages Using Optical Sensor Data

Cotton, soybean and sorghum are economically important crops in Texas. Knowing the growing status of crops at different stages of growth is crucial to apply site-specific management and increase crop yield for farmers. Field experiments were initiated to measure cotton, soybean and sorghum plants growth status and spatial variability through the whole growing cycle. A ground-based active optical sensor, Greenseeker®, was used to collect the Normalized Difference Vegetation Index (NDVI) da... H. Zhang, Y. Lan, J. Westbrook, C. Suh, C. Hoffmann, R. Lacey

Download paper

2. Comparison Of Spectral Indices Derived From Active Crop Canopy Sensors For Assessing Nitrogen And Water Status

... L. Shiratsuchi, R.B. Ferguson, J.F. Shanahan, V.I. Adamchuk, G. Slater

Download paper