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Schenatto, K
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Authors
Souza, E
Schenatto, K
Rodrigues, F
Rocha, D
Bazzi, C.L
Schenatto, K
Bazzi, C.L
Bier, V
Souza, E
Betzek, N.M
Souza, E.G
Bazzi, C.L
Schenatto, K
Gavioli, A
Maggi, M.F
Gavioli, A
Souza, E.G
Bazzi, C.L
Betzek, N.M
Schenatto, K
Beneduzzi, H.M
Schenatto, K
de Souza, E.G
Bazzi, C.L
Gavioli, A
Betzek, N.M
Beneduzzi, H.M
Bazzi, C.L
Araujo, R
Souza, E.G
Schenatto, K
Gavioli, A
Betzek, N.M
Schenatto, K
Souza, E.G
Bazzi, C.L
Gavioli, A
Betzek, N.M
Magalhães, P.S
Bazzi, C.L
Jasse, E.P
Souza, E.G
Magalhães, P.S
Michelon, G.K
Schenatto, K
Gavioli, A
Bazzi, C.L
Schenatto, K
Upadhyaya, S
Rojo, F
Gavioli, A
Souza, E.G
Bazzi, C.L
Betzek, N.M
Schenatto, K
Souza, E
Schenatto, K
Bazzi, C
Betzek, N.M
Souza, E.G
Bazzi, C.L
Magalhães, P.G
Gavioli, A
Schenatto, K
Dall'Agnol, R.W
Bazzi, C.L
Silva, F.V
Gebler, L
Souza, E.G
Schenatto, K
Sobjak, R
Dos Santos, R.S
Hachisuca, A.M
Franz, F
Bazzi, C.L
Martins, M.R
Gebler, L
Souza, E.G
Schenatto, K
Sobjak, R
Hachisuca, A.
Franz, F
Souza, E.G
Bazzi, C
Hachisuca, A
Sobjak, R
Gavioli, A
Betzek, N
Schenatto, K
Mercante, E
Rodrigues, M
Moreira, W
Aikes Junior, J
Souza, E.G
Bazzi, C
Sobjak, R
Hachisuca, A
Gavioli, A
Betzek, N
Schenatto, K
Moreira, W
Mercante, E
Rodrigues, M
Topics
Precision Conservation Management
Spatial Variability in Crop, Soil and Natural Resources
Precision Nutrient Management
Decision Support Systems in Precision Agriculture
On Farm Experimentation with Site-Specific Technologies
Big Data, Data Mining and Deep Learning
Decision Support Systems
Education and Outreach in Precision Agriculture
Geospatial Data
Decision Support Systems
Type
Poster
Oral
Year
2014
2016
2018
2022
Development Of A System For Site-specific Nematicide Placement In Cotton
1A. Khalilian, 1W. Henderson, 1J. Mueller, 2T. Kirkpatrick, 2S. Monfort, 3C. Overstreet
1. Clemson University
2. University of Arkansas
3. Louisiana State University

Nematode distribution varies significantly in cotton fields. Population density throughout a field is highly correlated to soil texture. Field-wide application of a uniform nematicide rate results in the chemical being applied to areas without nematodes or where nematode densities are below an economic threshold, or the application of sub-effective levels in areas with high nematode densities. The investigators have developed a “Site- Specific Nematicide Placement” (SNP) system that is ready for commercial deployment and use by growers. The SNP system consists of the following components: I) Generating management zones based on inexpensive geo-referenced field soil texture map using a mobile soil electrical conductivity meter; II) The soil EC zones are then used to develop a nematode management map for each field based on targeted sampling for assay and quantification of nematode population densities; III) Geo-referenced nematicide application prescription maps are generated based on nematode assays; and IV) Nematicides are applied to the field site-specifically as appropriate for each management zone using GPS-guided equipment.   This paper presents the results of efforts in South Carolina, Arkansas and Louisiana to further develop and refine this system for the effective delivery of nematicides in a site-specific, variable-rate manner in individual cotton fields.

Keyword: precision agriculture, cotton, site specific management