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Siliveru, K

Pinke, G

King, B.A

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Authors

King, B.A

Taberna, Jr., J.P

Kulmany, I.M

Horváth, B

Kukorelli, G

Zsebő, S

Stencinger, D

Borbás, Z

Pecze, R

Bede, L

Varga, Z

Kósa, A

Pinke, G

Hashim, Z.K

Hegedűs, G

Abdinoor, J.A

Agampodi, G.S

Armstrong, P.R

Pordesimo, L.O

Siliveru, K

Gerken, A.R

Serfa Juan, R.O

Topics

Precision A-Z for Practitioners

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

Artificial Intelligence (AI) in Agriculture

Type

Poster

Year

2010

2024

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Filter results3 paper(s) found.
1. Site-specific Nematode Management For Potatoes In Idaho Using 1,3-dichloropropene; Experiences And Economics Fumigation for nematode management in irrigated potato production systems of Idaho is widely practiced. Spatially uniform fumigation with large scale soil injection equipment is the traditional application method for Telone II. Plant-parasitic nematode species exhibit spatially variable population densities that provide an opportunity to practice site-specific fumigation to reduce chemical usage and production costs. Over the past 3 years 1200 ha of potato production has been site-specific fumigated... B.A. King, J.P. Taberna, Jr. Download paper
2. Evaluation of the Effect of Different Herbicide Treatments by Using UAV in Maise (Zea mays L.) Cultivation – First Experiences in a Long-term Experiment at Széchenyi István University, Hungary As part of the Green Deal, the European Union has set a goal to reduce the use of chemical pesticides by 50 percent until 2030. To achieve this goal, in addition to reducing the amount of pesticide used, attention must also be paid to monitoring the temporal and spatial effects of pesticides on weeds during the cultivation of various crops. Hence, Syngenta Ltd., collaborating with researchers, aimed to monitor the effect of five different types of herbicides by UAV in two tillage treatments (CN... I.M. Kulmany, B. Horváth, G. Kukorelli, S. Zsebő, D. Stencinger, Z. Borbás, R. Pecze, L. Bede, Z. Varga, A. Kósa, G. Pinke, Z.K. Hashim, G. Hegedűs, J.A. Abdinoor, G.S. Agampodi Download paper
3. Advanced Classification of Beetle Doppelgängers Using Siamese Neural Networks and Imaging Techniques The precise identification of beetle species, especially those that have similar macrostructure and physical characteristics, is a challenging task in the field of entomology. The term "Beetle Doppelgängers" refers to species that exhibit almost indistinguishable macrostructural characteristics, which can complicate tasks in ecological studies, conservation efforts, and pest management. The core issue resides in their striking similarity, frequently confusing both experts and automated... P.R. Armstrong, L.O. Pordesimo, K. Siliveru, A.R. Gerken, R.O. Serfa Juan Download paper

Filter results3 paper(s) found.

1. Site-specific Nematode Management For Potatoes In Idaho Using 1,3-dichloropropene; Experiences And Economics

Fumigation for nematode management in irrigated potato production systems of Idaho is widely practiced. Spatially uniform fumigation with large scale soil injection equipment is the traditional application method for Telone II. Plant-parasitic nematode species exhibit spatially variable population densities that provide an opportunity to practice site-specific fumigation to reduce chemical usage and production costs. Over the past 3 years 1200 ha of potato production has been site-specific fumigated... B.A. King, J.P. Taberna, Jr.

Download paper

2. Evaluation of the Effect of Different Herbicide Treatments by Using UAV in Maise (Zea mays L.) Cultivation – First Experiences in a Long-term Experiment at Széchenyi István University, Hungary

As part of the Green Deal, the European Union has set a goal to reduce the use of chemical pesticides by 50 percent until 2030. To achieve this goal, in addition to reducing the amount of pesticide used, attention must also be paid to monitoring the temporal and spatial effects of pesticides on weeds during the cultivation of various crops. Hence, Syngenta Ltd., collaborating with researchers, aimed to monitor the effect of five different types of herbicides by UAV in two tillage treatments (CN... I.M. Kulmany, B. Horváth, G. Kukorelli, S. Zsebő, D. Stencinger, Z. Borbás, R. Pecze, L. Bede, Z. Varga, A. Kósa, G. Pinke, Z.K. Hashim, G. Hegedűs, J.A. Abdinoor, G.S. Agampodi

Download paper

3. Advanced Classification of Beetle Doppelgängers Using Siamese Neural Networks and Imaging Techniques

The precise identification of beetle species, especially those that have similar macrostructure and physical characteristics, is a challenging task in the field of entomology. The term "Beetle Doppelgängers" refers to species that exhibit almost indistinguishable macrostructural characteristics, which can complicate tasks in ecological studies, conservation efforts, and pest management. The core issue resides in their striking similarity, frequently confusing both experts and automated... P.R. Armstrong, L.O. Pordesimo, K. Siliveru, A.R. Gerken, R.O. Serfa Juan

Download paper