Proceedings :: International Society of Precision Agriculture

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2022

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Authors

Abbas, F

Abdala, M

Abenina, M

Abukmeil, R

Adamchuk, V

Adedeji, O

Adedeji, O.I

Adhikari, K

Adu-Gyamfi, Y

Aggarwal, V

Agneroh, T

Ahmad, A

Ahrends, H.E

Aikes Junior, J

Al Amin, A

Al-Gaadi, K

Alchanati, V

Alchanatis, V

Alderman, P.D

Aldridge, K

Ali, A

Ali, U

Allegro, G

Almallahi, A

Amaral, L.R

Ameglio, L

Amin, S

Amouzou, K.A

Ampatzidis, Y

Anaba, C.I

Andersen, P

Anderson, S.H

Andvaag, E

Antunes, J.F

Archontoulis, S

Arias, A

Arias, A.C

Ashworth, A

Attanayake, A

Attanayake, A.U

Balboa, G

Balla, I

Balzarini, M

Bareth, G

Barker, D

Baumbauer, C

Bautista, F

Bazzi, C

Bazzi, C.L

Bean, G.M

Bede, L

Bedwell, E

Beeri, O

Behrendt, K

Bekkerman, A

Ben-Gal, A

Benke, S

Berger, A

Bergheim, R

Berzins, R

Best, S

Betzek, N

Bhandari, S

Bier, J

Biswas, A

Boejer, O

Bolfe, E

Bolton, C

Bongiovanni, M

Bongiovanni, R

Bonnardel, B

Brazda, D

Brinkhoff, J

Brorsen, W

Butts, C

Bückmann, H

Cabrera Dengra, M

Camberato, J.J

Cambouris, A

Cambouris, A.N

Cammarano, D

Canavari, M

Capolicchio, J

Carlier, A

Carneiro, F.M

Carter, P.R

Cerliani, C

Cesario Pereira Pinto, J

Charvat Jr., K

Charvat, K

Cheema, S.J

Chen, Z

Christensen, A

Ciampitti, I

Cohen, Y

Conway, L.S

Coulter, J.A

Csenki, S

Custer, S

Cutulle, M

DUMONT, B

Dafnaki, D

Dandrifosse, S

Das, A

Das, A.K

Dash, M

Davadant, P

De Neve, S

De Poorter, E

De Waele, T

DeBruin, J

Degioanni, A

Denton, A.M

Dhal, S

Dillen, J

Dong, R

Dos Reis, A.A

Dos Santos, R.S

Dreyer, J.G

DuPont, E.M

Duarte de Val, M

Duchemin, M

Duddu, H

Duddu, H.U

Duff, H

Duff, H.D

Dufrasne, I

Dumont, B

Dutilleul, P

Eberle, D

El Gamal, A

El-Mejjaouy, Y

Elsen, A

Elvir Flores, A

Emmi, L

Enger, B.D

Ennadifi, E

Erickson, B.J

Esau, T

Esau, T.J

Esposito, G

Evers, B

Eyster, R

Farooque, A

Farooque, A.A

Ferguson, R.B

Fernández, F.G

Ferraz Pueyo, C

Ferreyra, R

Figueiredo, G.K

Filippetti, I

Fleming, K

Flint, E.A

Flores, P

Flores, P.J

Floyd, W

Fortes, R

Fortunato, M

Franklin, K

Franklin, K.F

Franz, F

Franzen, D.W

Freitas, R.G

Friell, J

Frimpong, K.A

Friskop, A

Fritz, A

Fulton, J.P

Gallios, I

Gamble, A

Ganascini, D

Garza, C

Gauci, A

Gavioli, A

Gebler, L

Ghimire, B.P

Ghimire, D

Gill, N

Gips, A

Gnatowski, T

Gobezie, T.B

Goldshtein, E

Goldwasser, Y

Gonzalez, J

Goodrich, P

Goodrich, P.J

Gosselin, B

Graff, N

Grewal, K

Gu, H

Gumero, J

Gunther, D

Gunzenhauser, B

Gunzenhauser, R

Guo, W

Gupta, S

Gutteridge, M

Ha, T

Hachisuca, A

Hachisuca, A.

Hachisuca, A.M

Hajda, C

Hammond, J

Hammond, K

Hansel, D

Hansen, N

Harkin, S.J

Harris, G

Harsha Chepally, R

Hartmann, B

Hartschuh, J

Hartschuh, J.M

Hatfield, J.L

Hawkins, E

He, Z

Hegedus, P

Hegedus, P.D

Heggemann, T.W

Hejl, R

Hennessy, P.J

Hensley, R

Hernandez, C

Hettiarachchi, G

Hoffmann Silva Karp, F

Hokanson, G.E

Hong, S

Hongo, C

Hopkins, B

Hopkins, B.G

Horakova, S

Hu, Q

Hüging, H

Ingram, B

Inunciaga Leston, G

Isono, S

Jalem, R.S

Jansky, T

Jasper, J

Jenal, A

Jensen, N

Jensen, R

Jia, M

Jimenez, A

Johal, G

Johnson, E

Johnson, E.U

Johnson, R.M

Jones, J

Jorgensen, R

Kalafatis, S

Kang, C

Karam, A

Karampoiki, M

Karkee, M

Karn, R

Kashetri, S

Katz, L

Kazula, M

Keller, M

Kelley, A

Kepka, M

Kerry, R

Khan, H

Kharel, T

Khosla, R

Kitchen, N.R

Klopfenstein, A

Koch, G

Kolar, P.R

Krishnaswamy, K

Krmenec, A

Krys, K

Kshetri, S

Kubickova, H

Kuehner, K

Kukal, S

Kulmany, I.M

Kumpatla, S

Kyveryga, P

LENOIR, A

Laboski, C.A

Lacerda, L

Lacerda, L.N

Lajunen, A

Lamb, D.W

Lamichhane, R

Lamparelli, R.A

Lang, V

Langovskis, D

Lare, M

Lattanzi, P

Lebeau, F

Leduc, M

Lee, J

Lee, K

Lee, W

Lehmann, J

Lena, B.P

Lessl, J

Leszczyńska, R

Levi, M

Li, D

Li, Y

Liburd, O.E

Lima, J.P

Lin, Z

Lindsey, A

Litaor, I

Liu, H

Loewen, S

Loewen, S.D

Longchamps, L

Lotsi, A.K

Louis, J

Lowenberg-DeBoer, J

Lowenberg‑DeBoer, J

Lu, J

Lund, E

Lund, T

Lusher, J

MacEachern, C

Macura, J

Madugundu, R

Magalhães, P.S

Magyar, F

Mahanta, S

Maharjan, B

Mahmood, S

Mahmoudi, S

Maja, J

Maja, J.J

Mandal, D

Manoj, K

Martelli, R

Martins, M.R

Massey, R

Mathew, J

Mathew, J.J

Maxton, C

Maxwell, B

Maxwell, B.D

Mayer, J

Mazzoleni, R

McArthor, B

McArtor, B

Medici, M

Melchiori, R

Melgar, J

Melnitchouck, A

Mendes, I

Mennuti, D

Mercante, E

Mercatoris, B

Miao, Y

Mieno, T

Milani, I

Milics, G

Miranda, C

Mizuta, K

Molin, J.P

Montull, J.M

Morales Luna, G.L

Morales, A.C

Morales, G

Morales, G.L

Morata, G

Morata, G.T

Moreira, W

Moreno Heras, L

Morlin, F

Moro, E

Mouazen, A.M

Mueller, N

Mulla, D.J

Munnaf, M.A

Murdoch, A

Musil, M

Myers, D

Nadav, I

Nafziger, E.D

Nagel, P

Nambi, E

Naor, A

Nascimento-Silva, K

Nielsen, M.B

Nielsen, R.L

Nišavić, N

Norquest, S

Nze Memiaghe, J

Nze Memiaghe, J.D

O'Sullivan, N

Oh, S

Oliveira, L.P

Oliveira, M.F

Oliveira, S.R

Orellana, M.C

Ortega, A.F

Ortega, R

Ortega, R.A

Ortiz, B

Ortiz, B.V

Otto, R

Oukarroum, A

Owens, P

Owens, P.R

Owusu Ansah, E

Pajuelo Madrigal, V

Palacios, D

Paraforos, D

Parkash, V

Pasquel, D

Pastore, C

Paz, L

Pecze, R

Peerlinck, A

Peerlinck, A.D

Peeters, A

Pelta, R

Peralta, D

Pereira, F.R

Pereira, J.C

Pereira, N.D

Petix, R

Pezzi, F

Peña, J

Plum, J

Poblete, H.P

Pokhrel, A

Poland, J

Portz, G

Postelmans, A

Pourreza, A

Poursina, D

Prasad, R

Prestholt, A

Prostko, E.P

Puntel, L

PÄTZOLD, S

Quanbeck, J

Quinn, D.

Quoitin, B

Raheja, A

Rahman, M.M

Rai, N

Ramachandran, B

Ranieri, E

Ransom, C.

Ransom, C.J

Rathee, G

Rekhi, M

Reusch, S

Reyes Gonzalez, J

Robson, A

Rodrigues, M

Roel, A

Rosen, C

Rossetti, G

Roux, S

Ruma, F.Y

Rutter, M.S

Rydahl, P

Ryu, S

SVIERCOSKI, R

Sade, Z

Saeys, W

Saifuzzaman, M

Samborski, S.M

Sampath, N

Sanches, G.M

Sanz-Saez, A

Saraswat, D

Saurette, D

Sawyer, J.E

Saxena, A

Scaramuzza, F

Schaefer, M.T

Schenatto, K

Schepters, J.S

Schill, S

Schottle, N

Schueller, J.K

Schuenemann, G.M

Schumann, A.W

Sela, S

Shafian, S

Shahid, A

Shanahan, J.F

Sharda, A

Sharma, A

Sharma, V

Shcherbatyuk, N

Shearer, S

Shearer, S.A

Sheppard, J

Sheppard, J.W

Shilo, T

Shirtliffe, S

Shirtliffe, S.J

Shirtliffe, S.U

Shorkey, R

Shumate, S

Siegfried, J

Sielenkemper, M

Sigit, G

Silva, F.V

Silva, R.P

Siqueira, R.D

Smith, A.P

Smith, D.R

Snevajs, H

Snider, J.L

Sobjak, R

Soerensen, M

Soetan, M

Sogbedji, J.M

Sornapudi, S

Souza, E.G

Sparrow, R

Squires, T

Sridharan, S

Stavness, I

Stelford, M

Stenger, J

Stettler, E

Straw, C

Stueve, K

Sudduth, K

Sudduth, K.A

Suh, C

Sun, C

Sun, X

Sunkevic, M

Szatylowicz, J

TORGBOR, B.A

Taberner, A

Takahashi, T

Tamura, E

Tarshish, R

Tavares, T.R

Taylor, J

Taylor, J.A

Tedesco, D

Thompson, L

Thornton, M

Thurmond, M

Tiscornia, G

Tisseyre, B

Todman, L

Tola, E

Torresen, K

Tsibart, A

Tucker, M.W

Turner, I

Tóth, G

Underwood, H

Upadhyaya, P

Utoyo, B

VANDOORNE, B

Valentini, G

Van de Ven, G

Varga, P.M

Vellidis, G

Verma, A.P

Vermeulen, P

Verschwele, A

Vetch, J.M

Veum, K

Veum, K.S

Videla, H

Virk, S

Virk, S.S

Vitali, G

Vona, V

Vong, C

Vories, E

Wakahara, S

Walsh, O

Walsh, O.S

Wang, X

Watkins, E

Watkins, K

Wehrle, R

Welch, S

White, S.N

Wieland, S

Williams, D

Woolley, E

Wyatt, B

Xiong, X

Xu, Z

Yang, C

Ye, D

Yilma, W

Yilma, W.A

Yost, M

Young, J

Zadrazil, F

Zaman, Q

Zaman, Q.U

Zhang, J

Zhang, Q

Zhang, X

Zhang, Y

Zhang, Z

Zhao, H

Zhao, X

Zhou, C

Zhou, J

Ziadi, N

Zuniga-Ramirez, G

da Silva, T.R

de Carvalho, H.W

de Castro, A

del Val, M.D

song, S

Topics

Geospatial Data

Drainage Optimization and Variable Rate Irrigation

On Farm Experimentation with Site-Specific Technologies

Decision Support Systems

Proximal and Remote Sensing of Soil and Crop (including Phenotyping)

Robotics, Guidance and Automation

Precision Crop Protection

In-Season Nitrogen Management

Education and Outreach in Precision Agriculture

Applications of Unmanned Aerial Systems

Wireless Sensor Networks

Factors Driving Adoption

Precision Horticulture

Land Improvement and Conservation Practices

Smart Weather for Precision Agriculture

Site-Specific Nutrient, Lime and Seed Management

Big Data, Data Mining and Deep Learning

ISPA Community: Economics

Farm Animals Health and Welfare Monitoring

Site-Specific Pasture Management

Profitability and Success Stories in Precision Agriculture

ISPA Community: Latin America

Precision Agriculture and Global Food Security

ISPA Community: Nitrogen

Small Holders and Precision Agriculture

Precision Dairy and Livestock Management

Plenary

Industry Sponsors

Type

Poster

Oral

Year

2022

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Year

Filter results2 paper(s) found.
1. Automated Lag Phase Detection in Wine Grapes Crop yield estimation, an important managerial tool for vineyard managers, plays a crucial role in planning pre/post-harvest operations to achieve desired yield and improve efficiency of various field operations. Although various technological approaches have been developed in the past for automated yield estimation in wine grapes, challenges such as cost and complexity of the technology, need of higher technical expertise for their operation and insufficient accuracy have caused major concer... P. Upadhyaya, M. Karkee, X. Zhang, S. Kashetri Download paper
2. Diagnosis of Grapevine Nutrient Content Using Proximal Hyperspectral Imaging Nutrient deficiencies on grapevines could affect the fruit yield and quality, which is a major concern in vineyards. Nutrient deficiencies may be recognizable by foliar symptoms that vary by mineral nutrient and stress severity, but it is too late to manage when visible deficiency symptoms become apparent. The nutrient analysis in the laboratory is the way to get an accurate result, but it is time and cost-intensive. The differences in leaf nutrient levels also alter spectral characteristics ... C. Kang, M. Karkee, Q. Zhang, N. Shcherbatyuk, P. Davadant, M. Keller Download paper

Filter results2 paper(s) found.

1. Automated Lag Phase Detection in Wine Grapes

Crop yield estimation, an important managerial tool for vineyard managers, plays a crucial role in planning pre/post-harvest operations to achieve desired yield and improve efficiency of various field operations. Although various technological approaches have been developed in the past for automated yield estimation in wine grapes, challenges such as cost and complexity of the technology, need of higher technical expertise for their operation and insufficient accuracy have caused major concer... P. Upadhyaya, M. Karkee, X. Zhang, S. Kashetri

Download paper

2. Diagnosis of Grapevine Nutrient Content Using Proximal Hyperspectral Imaging

Nutrient deficiencies on grapevines could affect the fruit yield and quality, which is a major concern in vineyards. Nutrient deficiencies may be recognizable by foliar symptoms that vary by mineral nutrient and stress severity, but it is too late to manage when visible deficiency symptoms become apparent. The nutrient analysis in the laboratory is the way to get an accurate result, but it is time and cost-intensive. The differences in leaf nutrient levels also alter spectral characteristics ... C. Kang, M. Karkee, Q. Zhang, N. Shcherbatyuk, P. Davadant, M. Keller

Download paper