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Burlai, T
Drewry, D
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Authors
Vellidis, G
Abney, M
Burlai, T
Fountain, J
Kemerait, R.C
Kukal, S
Lacerda, L
Maktabi, S
Peduzzi, A
Pilcon, C
Sysskind, M
Spina, A.N
Fulton, J.P
Shearer, S.A
Berger-Wolf, T
Drewry, D
Topics
Decision Support Systems
Artificial Intelligence (AI) in Agriculture
Type
Oral
Poster
Year
2024
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1. Decision Support Tools for Developing Aflatoxin Risk Maps in Peanut Fields

Aspergillus flavus and Aspergillus parasiticus hereafter referred to jointly as A. flavus, are soil fungi that infect and contaminate preharvest and postharvest peanuts with the carcinogenic secondary metabolite aflatoxin. A. flavus can cause extensive economic losses to peanut growers and shellers by contaminating peanut kernels with aflatoxins. In the southeastern U.S., contamination from aflatoxin continues to be a major threat to the peanut industry and... G. Vellidis, M. Abney, T. Burlai, J. Fountain, R.C. Kemerait, S. Kukal, L. Lacerda, S. Maktabi, A. Peduzzi, C. Pilcon, M. Sysskind

2. Determining Desirable Swine Traits that Correlate to High Carcass Grades for Artificial Intelligence Predictions

With the global population continuing to grow, there has been an increased stress applied to the agriculture industry to improve efficiency and yield. To achieve this goal within the cattle industry, selection and reproductive decisions have been lucrative aspects, both genetically and fiscally. Breeding animal selection impacts farms through passing on favorable market, reproductive, and temperament traits. The cattle industry has experienced genetic advancement due to the flexibility of artificial... A.N. Spina, J.P. Fulton, S.A. Shearer, T. Berger-wolf, D. Drewry