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Precision Nutrient Management

Robotics and Automation with Row and Horticultural Crops

Precision Nutrient Management

Spatial Variability in Crop, Soil and Natural Resources

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Authors

Abdollahi, J.M

Adamchuk, V.I

Ahmad, H.N

Al Darwish, F.H

Al-Gaadi, K.A

Alahe, M

Alomran, A.M

Alsheri, S.A

Alwabel, M.I

Amely, N

Ampatzidis, Y

Arzani, H.P

Azimi, M.S

Balakrishnan, P

Banerjee, M

Barbosa, M

Basso, B

Batuman, O

Bazzi, C.L

Beaudoin, N

Behera, S

Benites, V.D

Bennett, B

Bereuter, A

Bernardi, A.C

Bhuiya, G

Blackmer, T.M

Bodson, B

Borchert, A

Borhani, M.M

Boyko, Y.I

Braunbeck, O

Braunbeck, O.A

Cao, Q

Castrignanò, A

Castro, S.G

Chang, Y

Chang, Y.K

Chen, L

Christiaens, R

Corá, J

Cui, B

Dabbelt, D

Daroub, S.H

Denton, A.M

Destain, J

Destain, M

Devakumar, N

Diaz, O.A

Downing, B

Drury, C

Dumont, B

Dutta, S

Esau, T.J

Farahpour, M.D

Farooque, A.A

Feng, G

Ferguson, R.B

Francis, D

Franco, H.C

Gao, X

Gianello, E

Gilson, A

Giriyappa, M

Goswami, S

Gowda, H.H

Graziano Magalhães, P.S

Green, O

Griffin, T

Grocholski, P

Groulx, D

Guan, H

Guangwei, W

Gummi, S

Gupta, M

H, V

Hansen, J

Hanumanthappa, D

Harsha Chepally, R

Hendrickson, L

Henties, T

Huang, W

Inamassu, R.Y

Inamasu, R

Irmak, S

Jangandi, S

Jego, G

Jianjun, D

Jin, V

Johnson, R.M

Joseph, K

Jørgensen, R.N

Kaboli, S.D

Kanannavar, P

Kanannnavar, P.S

Karkee, M

Kaul, A

Khan, F

Khan, F.S

Khosla, R

Kirkpatrick, T

Kolln, O.T

Krishna, D

Kulczycki, G

Kulhandjian, H

Kulhandjian, M

Kumar, R

Kunwar, S

Kyveryga, P.M

L, R.N

Lamb, D.W

Li, F

Li, Y

Liping, C

Liu, B

Liu, W

Liu, Y

Liu, Z

Longchamps, L

Lu, Y

Ma, B

Madani, A

Madugundu, R

Magalhães, P.S

Magen, H

Maiti, D

Majumdar, K

Makarov, J

Makkar, M.S

Malagi, M.T

Malik, G

Mallikaarjuna, G

Marey, S

Mariano, E

Mclure, B

Melnitchouck, A

Meyer, T

Miao, Y

Michalski, A

Mijatovic, B

Mirdavodi, H.M

Monfort, S

Mosmen, E.W

Mueller, T

Mulla, D.J

Muvva, V

Mwunguzi, H

N.L., R

Nakao, H.S

Nobrega, L.H

Olfs, H

Oliveira, L

Otto, R

Pack, C

Pampolino, M

Pandey, A

Pannu, C.S

Pantoja, J.L

Patil, M

Patil, M.B

Patil, V

Patil, V.C

Pattey, E

Percival, D

Percival, D.C

Pgowda, C.C

Phillips, S

Pitla, S

Piya, N.K

Preiner, M

Pujari, B

Rabello, L.M

Rahman, M.M

Raitz Persch, J

Raju, N

Rao, K

Recke, G

Reddy, K.A

Reeg, P.R

Rehman, T

Reich, R.M

Rienzi, E

Rocha, D

Rocha, D.M

Rodrigues, M

Rossi Neto, J

Rudnick, D

Rudramuni, T

Söderström, M

Saha, S

Saleem, S.R

Sales, L

Salimath, S.B

Sanches, G.M

Sansoulet, J

Santos, R

Sapkota, R

Schepers, J.S

Schmer, M

Schneider, D.A

Scholz, O

Schumann, A

Schumann, A.W

Sekhon, B.S

Shankar, M

Shanwad, U

Sharma, A

Shaver, T

Sheshadri, T

Skovsen, S

Slaeem, S

Sleichter, R

Soaud, A.A

Song, X

Souza, E.G

Srinivasa Rao, C

Stanley, J.N

Stepien, P

Subba Rao, A

Sun, X

Swamy, S

Swanson, G

Syed, H.H

Sørensen, C.G

Tola, E

Trautz, D

Tremblay, N

Uhrmann, F

Upadhyaya, S

Upadhyaya, S.K

Uribe-Opazo, M.A

V.M., A.H

Van Donk, S

Venkateswarlu, B

Viator, B.J

Viator, R.P

Walsh, O.S

Ward, N

Weiqiang, F

Westfall, D.G

Weule, M

Wienhold, B

Xu, J

Xu, J.X

Xu, K

Zaman, Q.U

Zhang, X

Zhao, C

Zhijun, M

Zhou, C

de Oliveira Costa Neto, A

de Oliveira, R.P

kaboodi, S

nabizadeh, E

Topics

Spatial Variability in Crop, Soil and Natural Resources

Precision Nutrient Management

Robotics and Automation with Row and Horticultural Crops

Type

Poster

Oral

Year

2012

2014

2024

Home » Topics » Results

Topics

Filter results4 paper(s) found.
1. Deriving Nitrogen Indicators of Maize Using the Canopy Chlorophyll Content Index Many spectral indices have been proposed to derive aerial nitrogen (N) status parameters of crops in recent decades. However, most of red light based spectral indices easily loss sensitivity at moderate-high aboveground biomass. The objective of present study is to assess the performance of red edge bas... Y. Miao, F. Li Download paper
2. Evaluating Different Nitrogen Management Strategies For The Intensive Wheat-Maize System In North China Plain The sustainable agricultural development involves both environmental challenges and production goals to meet growing food demand. However, excessive nitrogen (N) applications are threatening the sustainability of intensive agriculture in the North China Plain (NCP). Improved N management should result in greater N use efficiency (NUE) and producer profit while reducing the risk of environmental contamination. Therefore, developing and disseminating feasible N management strategi... Q. Cao, Y. Miao, G. Feng, F. Li, B. Liu, X. Gao, Y. Liu Download paper
3. Optical Sensors To Predict Nitrogen Demand By Sugarcane The low effectiveness of nitrogen (N) from fertilizer is a substantial concern in worldwide which has been threatening the sustainability of sugarcane production. The increment of nitrogen use efficiency (NUE) by sugarcane genotypes associated to the best practices of fertilizer management and nutritional diagnosis methods have higher potential to reduce environment impacts of nitrogen fertilization. Due to the difficult to determine N status in soil test as well as there is not... O.T. Kolln, G.M. Sanches, J. Rossi neto, S.G. Castro, E. Mariano, R. Otto, R. Inamasu, P.S. Magalhães, O.A. Braunbeck, H.C. Franco Download paper
4. Automated Detection and Length Estimation of Green Asparagus Towards Selective Harvesting Green asparagus is an important vegetable crop in the United States (U.S.). Harvesting the crop is notoriously labor-intensive, accounting for over 50% of production costs. There is an urgent need to develop harvesting automation technology for the U.S. asparagus industry to remain sustainable and competitive. Despite previous research and developments on mechanical asparagus harvesting, no practically viable products are available because of their low harvest selectivity and significant yiel... J. Xu, Y. Lu

Filter results4 paper(s) found.

1. Deriving Nitrogen Indicators of Maize Using the Canopy Chlorophyll Content Index

Many spectral indices have been proposed to derive aerial nitrogen (N) status parameters of crops in recent decades. However, most of red light based spectral indices easily loss sensitivity at moderate-high aboveground biomass. The objective of present study is to assess the performance of red edge bas... Y. Miao, F. Li

Download paper

2. Evaluating Different Nitrogen Management Strategies For The Intensive Wheat-Maize System In North China Plain

The sustainable agricultural development involves both environmental challenges and production goals to meet growing food demand. However, excessive nitrogen (N) applications are threatening the sustainability of intensive agriculture in the North China Plain (NCP). Improved N management should result in greater N use efficiency (NUE) and producer profit while reducing the risk of environmental contamination. Therefore, developing and disseminating feasible N management strategi... Q. Cao, Y. Miao, G. Feng, F. Li, B. Liu, X. Gao, Y. Liu

Download paper

3. Optical Sensors To Predict Nitrogen Demand By Sugarcane

The low effectiveness of nitrogen (N) from fertilizer is a substantial concern in worldwide which has been threatening the sustainability of sugarcane production. The increment of nitrogen use efficiency (NUE) by sugarcane genotypes associated to the best practices of fertilizer management and nutritional diagnosis methods have higher potential to reduce environment impacts of nitrogen fertilization. Due to the difficult to determine N status in soil test as well as there is not... O.T. Kolln, G.M. Sanches, J. Rossi neto, S.G. Castro, E. Mariano, R. Otto, R. Inamasu, P.S. Magalhães, O.A. Braunbeck, H.C. Franco

Download paper

4. Automated Detection and Length Estimation of Green Asparagus Towards Selective Harvesting

Green asparagus is an important vegetable crop in the United States (U.S.). Harvesting the crop is notoriously labor-intensive, accounting for over 50% of production costs. There is an urgent need to develop harvesting automation technology for the U.S. asparagus industry to remain sustainable and competitive. Despite previous research and developments on mechanical asparagus harvesting, no practically viable products are available because of their low harvest selectivity and significant yiel... J. Xu, Y. Lu