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

Home » Year » Results

Year

Filter results4 paper(s) found.
1. Analysis of the Mapping Results Using SoilOptix TM Technology in Chile After Two Seasons Soil mapping is a key element to successfully implement Integrated Nutrient Management (INM) in high value crops. SoilOptixTM is a mapping service based on the use of gamma radiation technology that arrived in Chile in 2019. Since then, around 2000 ha have been mapped, mainly in fruit orchards and vineyards. The technology has demonstrated its value in determining the most limiting factors in new and old orchards, and the possibility of correcting them in a site-spe... R.A. Ortega, A.F. Ortega, M.C. Orellana Download paper
2. Changes in Soil Quality when Building Ridges for Fruit Plantation Many fruit plantations are usually performed in ridges for various reasons including, escaping from a clay horizon, improving overall soil quality and drainage, among others. Normally ridges are built using the surface horizons, producing a mixture of soils layers, and therefore changing the quality of the soil at the rooting zone. We were interested in studying the changes in soil properties when building ridges in a flat alluvial soil that was planted with avocado. A det... H.P. Poblete, R.A. Ortega Download paper
3. Yield Estimation for Avocado Using Systematic Sampling Techniques Avocado is a high value crop ranking fourth among the planted fruit species in Chile with more than 32,000 ha. Yield estimation is an important challenge in avocado due to its phenology, the size of the tree, and to the large variability usually observed within the orchards. Due to the practical difficulties to sample the trees we use the following approach: 1) establish a systematic, non-aligned grid with > 20 sampling points (trees)/field, 2) previous to harvest, and ... H.P. Poblete, R.A. Ortega Download paper
4. You Can Not Manage What You Dont Measure The problem of variability in soil nutrient analysis has been studied for years by a number of industry experts; unable to decipher and commercialize hyperspectral soil sensing. Many studies have taken years of testing to account for variability thathas a dramatic impacts on precision of recommendations. The main tradeoff we have identified is between accuracy and precision. Large quantities of raw data are requir... K. Fleming, N. Schottle, P. Nagel, G. Koch Download paper

Filter results4 paper(s) found.

1. Analysis of the Mapping Results Using SoilOptix TM Technology in Chile After Two Seasons

Soil mapping is a key element to successfully implement Integrated Nutrient Management (INM) in high value crops. SoilOptixTM is a mapping service based on the use of gamma radiation technology that arrived in Chile in 2019. Since then, around 2000 ha have been mapped, mainly in fruit orchards and vineyards. The technology has demonstrated its value in determining the most limiting factors in new and old orchards, and the possibility of correcting them in a site-spe... R.A. Ortega, A.F. Ortega, M.C. Orellana

Download paper

2. Changes in Soil Quality when Building Ridges for Fruit Plantation

Many fruit plantations are usually performed in ridges for various reasons including, escaping from a clay horizon, improving overall soil quality and drainage, among others. Normally ridges are built using the surface horizons, producing a mixture of soils layers, and therefore changing the quality of the soil at the rooting zone. We were interested in studying the changes in soil properties when building ridges in a flat alluvial soil that was planted with avocado. A det... H.P. Poblete, R.A. Ortega

Download paper

3. Yield Estimation for Avocado Using Systematic Sampling Techniques

Avocado is a high value crop ranking fourth among the planted fruit species in Chile with more than 32,000 ha. Yield estimation is an important challenge in avocado due to its phenology, the size of the tree, and to the large variability usually observed within the orchards. Due to the practical difficulties to sample the trees we use the following approach: 1) establish a systematic, non-aligned grid with > 20 sampling points (trees)/field, 2) previous to harvest, and ... H.P. Poblete, R.A. Ortega

Download paper

4. You Can Not Manage What You Dont Measure

The problem of variability in soil nutrient analysis has been studied for years by a number of industry experts; unable to decipher and commercialize hyperspectral soil sensing. Many studies have taken years of testing to account for variability thathas a dramatic impacts on precision of recommendations. The main tradeoff we have identified is between accuracy and precision. Large quantities of raw data are requir... K. Fleming, N. Schottle, P. Nagel, G. Koch

Download paper