Proceedings :: International Society of Precision Agriculture

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Jager-Hansen, C

Alves de Araújo, G

Zhang, Y

Tümsavas, Z

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Authors

Bøgild, A

Nielsen, S.H

Jacobsen, N.J

Jager-Hansen, C

Jørgensen, R.N

Jensen, K

Jørgensen, O.J

Liu, F

He, Y

Zhang, Y

Tan, L

Zhang, Y

Jiang, L

Ulusoy, Y

Tümsavas, Z

Mouazen, A.M

Tekin, Y

Alves de Araújo, G

Costa Souza, J.B

Freire de Oliveira, M

Ortiz, B.V

Luns Hatum de Almeida, S

Felipe dos Santos, A

Pereira da Silva, R.P

Topics

Food Security and Precision Agriculture

Proximal Sensing in Precision Agriculture

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Poster

Oral

Year

2012

2014

2026

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Filter results4 paper(s) found.
1. A Low Cost, Modular Robotics Tool Carrier for Precision Agriculture Research Current research within agricultural crop production focus on using autonomous robot technology to optimize the production efficiency, enhance sustainability and minimize tedious, monotonous and wearing tasks. But progress is slow partly... A. Bøgild, S.H. Nielsen, N.J. Jacobsen, C.L. Jaeger-hansen, R.N. Jørgensen, K. Jensen, O.J. Jørgensen Download paper
2. 3-Dimension Reconstruction Of Cactus Using Multispectral Images Using 3D reconstruction result to investigate plant morphology has been a focus of virtual plant. And multispectral imaging has proved to carried biological information in quite a lot work. This paper present a idea to investigate chlorophyll spatial variability of cactus using a bunch of multispectral images. 46 multispectral images are taken at equally distributed angles surrounding the tree and have over 80% overlap. Structure from motion approach has been used... F. Liu, Y. He, Y. Zhang, L. Tan, Y. Zhang, L. Jiang Download paper
3. Prediction Of Cation Exchange Capacity Using Visible And Near Infrared Spectroscopy Cation exchange capacity (CEC) of the soil is a measure of the soil ability to hold positively charged ions and is an important indicator of soil physicochemical characteristic. It is an important property for site specific management of soil nutrients in precision agriculture. The conventional analytical methods used for the determination of CEC are expensive, difficult and time consuming, because different cations must be extracted and determined. Visible and near infrared (vis-NIR) spectroscopy... Y. Ulusoy, Z. Tümsavas, A.M. Mouazen, Y. Tekin Download paper
4. Integrating Management Zones, Artificial Neural Networks and Remote Sensing for Smart Peanut Harvesting The integration of technologies contributes significantly to agricultural development, especially regarding the rational and more sustainable use of soil. Thus, the use of remote sensing and artificial intelligence techniques combined with precision agriculture can maximize smart harvesting for peanut crops, which face several challenges such as limited harvesting technology, indeterminate growth, and the development of pods below the soil surface. Therefore, this study aimed to develop a peanut...

Filter results4 paper(s) found.

1. A Low Cost, Modular Robotics Tool Carrier for Precision Agriculture Research

Current research within agricultural crop production focus on using autonomous robot technology to optimize the production efficiency, enhance sustainability and minimize tedious, monotonous and wearing tasks. But progress is slow partly... A. Bøgild, S.H. Nielsen, N.J. Jacobsen, C.L. Jaeger-hansen, R.N. Jørgensen, K. Jensen, O.J. Jørgensen

Download paper

2. 3-Dimension Reconstruction Of Cactus Using Multispectral Images

Using 3D reconstruction result to investigate plant morphology has been a focus of virtual plant. And multispectral imaging has proved to carried biological information in quite a lot work. This paper present a idea to investigate chlorophyll spatial variability of cactus using a bunch of multispectral images. 46 multispectral images are taken at equally distributed angles surrounding the tree and have over 80% overlap. Structure from motion approach has been used... F. Liu, Y. He, Y. Zhang, L. Tan, Y. Zhang, L. Jiang

Download paper

3. Prediction Of Cation Exchange Capacity Using Visible And Near Infrared Spectroscopy

Cation exchange capacity (CEC) of the soil is a measure of the soil ability to hold positively charged ions and is an important indicator of soil physicochemical characteristic. It is an important property for site specific management of soil nutrients in precision agriculture. The conventional analytical methods used for the determination of CEC are expensive, difficult and time consuming, because different cations must be extracted and determined. Visible and near infrared (vis-NIR) spectroscopy... Y. Ulusoy, Z. Tümsavas, A.M. Mouazen, Y. Tekin

Download paper

4. Integrating Management Zones, Artificial Neural Networks and Remote Sensing for Smart Peanut Harvesting

The integration of technologies contributes significantly to agricultural development, especially regarding the rational and more sustainable use of soil. Thus, the use of remote sensing and artificial intelligence techniques combined with precision agriculture can maximize smart harvesting for peanut crops, which face several challenges such as limited harvesting technology, indeterminate growth, and the development of pods below the soil surface. Therefore, this study aimed to develop a peanut...