Proceedings :: International Society of Precision Agriculture

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Bari, M.A

Junior, C.S

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Authors

Junior, C.S

Hirakawa, A.R

Bari, M.A

Bakshi, A

Witt, T

Caragea, D

Jagadish, K

Felderhoff, T

Pramanik, S

Choton, J

Topics

Information Management and Traceability

Big Data, Data Mining and Deep Learning

Type

Poster

Oral

Year

2012

2024

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Authors

Filter results2 paper(s) found.
1. Ontology for Data Representation in the Production of Cotton Fiber in Brazil ... C.S. Junior, A.R. Hirakawa Download paper
2. Deep Learning to Estimate Sorghum Yield with Uncrewed Aerial System Imagery In the face of growing demand for food, feed, and fuel, plant breeders are challenged to accelerate yield potential through quick and efficient cultivar development. Plant breeders often conduct large-scale trials in multiple locations and years to address these goals. Sorghum breeding, integral to these efforts, requires early, accurate, and scalable harvestable yield predictions, traditionally possible only after harvest, which is time-consuming and laborious. This research harnesses high-throughput... M.A. Bari, A. Bakshi, T. Witt, D. Caragea, K. Jagadish, T. Felderhoff

Filter results2 paper(s) found.

1. Ontology for Data Representation in the Production of Cotton Fiber in Brazil

... C.S. Junior, A.R. Hirakawa

Download paper

2. Deep Learning to Estimate Sorghum Yield with Uncrewed Aerial System Imagery

In the face of growing demand for food, feed, and fuel, plant breeders are challenged to accelerate yield potential through quick and efficient cultivar development. Plant breeders often conduct large-scale trials in multiple locations and years to address these goals. Sorghum breeding, integral to these efforts, requires early, accurate, and scalable harvestable yield predictions, traditionally possible only after harvest, which is time-consuming and laborious. This research harnesses high-throughput... M.A. Bari, A. Bakshi, T. Witt, D. Caragea, K. Jagadish, T. Felderhoff