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. Integration of High Resolution Multitemporal Satellite Imagery for Improving Agricultural Crop Classification: a Case Study Timely and accurate agriculture information is vital for ensuring global food security. Satellite imagery has already been proved as a reliable tool for remote crop mapping. Planet satellite imagery provides high cadence, global satellite coverage with higher temporal and spatial resolution than the Landsat-8 and Sentinel-2. This study examined the potential of utilizing high-resolution multitemporal imagery along with and normalized difference vegetation index (NDVI) to map the agricultural ... U. Ali, T. Esau, A. Farooque, Q. Zaman Download paper
2. Suitability of ML Algorithms to Predict Wild Blueberry Harvesting Losses The production of wild blueberries (Vaccinium angustifolium.) is contributing 112.2 million dollars to the Canada’s revenue which can be further increased through controlling harvest losses. A precise prediction of blueberry harvesting losses is necessary to mitigate such losses. In this study, the performance of three machine learning (ML) models was evaluated to predict the wild blueberry harvest losses on the ground. The data from four commercial fields in Atlantic Canada we... H. Khan, T. Esau, A. Farooque, F. Abbas Download paper

Filter results2 paper(s) found.

1. Integration of High Resolution Multitemporal Satellite Imagery for Improving Agricultural Crop Classification: a Case Study

Timely and accurate agriculture information is vital for ensuring global food security. Satellite imagery has already been proved as a reliable tool for remote crop mapping. Planet satellite imagery provides high cadence, global satellite coverage with higher temporal and spatial resolution than the Landsat-8 and Sentinel-2. This study examined the potential of utilizing high-resolution multitemporal imagery along with and normalized difference vegetation index (NDVI) to map the agricultural ... U. Ali, T. Esau, A. Farooque, Q. Zaman

Download paper

2. Suitability of ML Algorithms to Predict Wild Blueberry Harvesting Losses

The production of wild blueberries (Vaccinium angustifolium.) is contributing 112.2 million dollars to the Canada’s revenue which can be further increased through controlling harvest losses. A precise prediction of blueberry harvesting losses is necessary to mitigate such losses. In this study, the performance of three machine learning (ML) models was evaluated to predict the wild blueberry harvest losses on the ground. The data from four commercial fields in Atlantic Canada we... H. Khan, T. Esau, A. Farooque, F. Abbas

Download paper