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Proximal and Remote Sensing of Soils and Crops (including Phenotyping)

Farm Animals Health and Welfare Monitoring

Agricultural Education

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Authors

Abdelaty, E.F

Abderaouf, E.A

Abdinoor, J.A

Acuna, T

Adamchuk, V

Agampodi, G.S

Alchanatis, V

Allam, D.G

Amaral, L.R

Armstrong, S

Arnall, B

Bai, G

Bantchina, B

Barai, K

Bathke, K.J

Bazzi, C.L

Bede, L

Bhandari, M

Bishop, T

Biswas, A

Borbás, Z

Bourlai, T

Bullock, D

Chamara, N

Chang, Y

Choudhury, S.D

Chung, S

Clay, D.E

Clay, S.A

Cosby, A.M

Costa Souza, J.B

Czarnecki, J

Daggupati, P

Dhiman, V

Dua, A

Dufrasne, I

Dutilleul, P

E. Flores, A

Eldeeb, E

Erickson, B

Ewanik, C

Fasso, W

Fathololoumi, S

Fausti, S

Filippi, P

Firozjaei, M.K

Flores, A

Flores, P

Fritz, B.K

Ge, Y

Gebler, L

Ghimire, B

González Piqueras, J

Gregory, S

Gulandaz, M

Gummi, S

Guo, W

Gómez-Candón, D

Hanyabui, E

Hashim, Z.K

Hegedűs, G

Herrmann, I

Hessel, R

Hodeghatta, U.R

Hoffmann Silva Karp, F

Horváth, B

Huang, Y

Jiménez Castaño, V

KABIR, M

Kechchour, A

Kemeshi, J.O

Kitchen, N.R

Kukorelli, G

Kulmany, I.M

Kósa, A

Lacerda, L

Lebeau, F

Li, M

Lu, J

Luck, J.D

Lund, E

Lund, T

Luns Hatum de Almeida, S

López-Urrea, R

Maatougui, M

Mahmoudi, S

Maktabi, S

Maxton, C.R

Melnitchouck, A

Melo, D.D

Miao, Y

Miguez, F

Mizuta, K

Mokhtari, A

Montoya Sevilla, F

Moulay, H

Muller, I

Oldoni, H

Oliveira, M.F

Oliveira, W.K

Ortiz, B.V

PHILLIPS, S

Palla, S

Paz Kagan, T

Pecze, R

Phillips, S

Pilcon, C

Pinke, G

Plum, J

Puntel, L

Pérez García, Y

Quinn, D.J

Quoitin, B

Rabello, L.M

Rabia, A.H

Rai, S

Rauber, L.A

Reinholz, A

Roberts, J

Rubaino Sosa, S.A

Sahoo, M

Sanz-Saez, A

Schapaugh, W

Schenatto, K

Schumacher, L

Shafik, K

Shannon, K

Sharda, A

Sharma, V

Shrestha, S

Skouby, D

Smith, B.K

Sobjak, R

Stencinger, D

Suh, C

Sun, R

Swain, D

Sysskind, M

Sánchez Tomás, J

Sánchez Virosta, �

Tarshish, R

Tilse, M.J

Trotter, M

Trotter, T

Varga, Z

Vellidis, G

Xu, X

Xu, Z

Yang, C

Yost, M

Yu, K

Zhang, J

Zhang, Y

Zhao, H

Zhoa, L

Zhou, J

Zikan, A

Zsebő, S

da Cunha, I.A

dos Santos, C.L

Topics

Proximal and Remote Sensing of Soils and Crops (including Phenotyping)

Agricultural Education

Farm Animals Health and Welfare Monitoring

Type

Oral

Poster

Year

2024

2016

2022

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Filter results2 paper(s) found.
1. Field Mapping for Aflatoxin Assessment in Peanut Crops Using Thermal Imagery Aflatoxin is a toxic carcinogenic compound produced by certain species of Aspergillus fungi, which has a significant impact on peanut production. Aflatoxin levels above a certain threshold (20 ppb in the USA and 4 ppb in Europe) make peanuts unsuitable for export, resulting in significant financial losses for farmers and traders. Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for remote sensing applications in agriculture. Leveraging this advancement, UAV-based thermal imag... S. Shrestha, L. Lacerda, G. Vellidis, C. Pilcon, S. Maktabi, M. Sysskind Download paper
2. Use of Crop and Drought Spectral Indices to Support Harvest Decisions of Peanut Fields in Alabama Harvest efficiency expressed in quantity and quality of peanut fields could increase if farmers are provided with tools to support harvest decisions. Peanut farmers still rely on a visual and empiric method to assess the right time of peanut maturity but this method does not account for within-field variability of crop growth and maturity. The integration of spectral vegetation indices to assess drought, soil moisture, and crop growth to predict peanut maturity can help farmers strengthen dec... M.F. Oliveira, B.V. Ortiz, E. Hanyabui, J.B. Costa souza, A. Sanz-saez, S. Luns hatum de almeida , C. Pilcon, G. Vellidis Download paper

Filter results2 paper(s) found.

1. Field Mapping for Aflatoxin Assessment in Peanut Crops Using Thermal Imagery

Aflatoxin is a toxic carcinogenic compound produced by certain species of Aspergillus fungi, which has a significant impact on peanut production. Aflatoxin levels above a certain threshold (20 ppb in the USA and 4 ppb in Europe) make peanuts unsuitable for export, resulting in significant financial losses for farmers and traders. Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for remote sensing applications in agriculture. Leveraging this advancement, UAV-based thermal imag... S. Shrestha, L. Lacerda, G. Vellidis, C. Pilcon, S. Maktabi, M. Sysskind

Download paper

2. Use of Crop and Drought Spectral Indices to Support Harvest Decisions of Peanut Fields in Alabama

Harvest efficiency expressed in quantity and quality of peanut fields could increase if farmers are provided with tools to support harvest decisions. Peanut farmers still rely on a visual and empiric method to assess the right time of peanut maturity but this method does not account for within-field variability of crop growth and maturity. The integration of spectral vegetation indices to assess drought, soil moisture, and crop growth to predict peanut maturity can help farmers strengthen dec... M.F. Oliveira, B.V. Ortiz, E. Hanyabui, J.B. Costa souza, A. Sanz-saez, S. Luns hatum de almeida , C. Pilcon, G. Vellidis

Download paper