Proceedings :: International Society of Precision Agriculture

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Junior, C.S

Arnold, S

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Junior, C.S

Hirakawa, A.R

Javed, B

Cambouris, A

Duchemin, M

Longchamps, L

Basran, P.S

Arnold, S

Fenech, A

Karam, A

Topics

Information Management and Traceability

Precision Agriculture and Global Food Security

Type

Poster

Oral

Year

2012

2024

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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. In-season Nitrogen Prediction Evaluation Using Airborne Imagery with AI Techniques in Commercial Potato Production In modern agriculture, timely and precise nitrogen (N) monitoring is essential to optimize resource management and improve trade benefits. Potato (Solanum tuberosum L.) is a staple food in many regions of the world, and improving its production is inevitable to ensure food security and promote related industries. Traditional methods of assessing nitrogen are labour-intensive, time-consuming, and require subjective observations. To address these limitations, a combination of multispectral... B. Javed, A. Cambouris, M. Duchemin, L. Longchamps, P.S. Basran, S. Arnold, A. Fenech, A. Karam Download paper

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. In-season Nitrogen Prediction Evaluation Using Airborne Imagery with AI Techniques in Commercial Potato Production

In modern agriculture, timely and precise nitrogen (N) monitoring is essential to optimize resource management and improve trade benefits. Potato (Solanum tuberosum L.) is a staple food in many regions of the world, and improving its production is inevitable to ensure food security and promote related industries. Traditional methods of assessing nitrogen are labour-intensive, time-consuming, and require subjective observations. To address these limitations, a combination of multispectral... B. Javed, A. Cambouris, M. Duchemin, L. Longchamps, P.S. Basran, S. Arnold, A. Fenech, A. Karam

Download paper