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Aboelkhier, H

Abdul Rasheed, M

ARAI, Y

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Authors

MORIMOTO, E

ARAI, Y

NONAMI, K

ITO, T

Aboelkhier, H

Nasrallah, A

Shaddad, S

Buttafuoco, G

Kassim, Y

Richard Oteng-Frimpong, R

Kanvenaa Puozaa, D

Kofi Sie, E

Abdul Rasheed, M

Abdul Rashid, I

Danquah, A

A. Akogo, D

Rhoads, J

Hoisington, D

D. Burow, M

Balota, M

Topics

Adoption of Precision Agriculture

Precision Nutrient Management

On-Farm Experimentation

Type

Oral

Poster

Year

2020

2022

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Authors

Filter results3 paper(s) found.
1. Development of Lodging Direction Determination System Using Image Processing In this study, image processing system was developed for application on rice plants to determine lodging condition, which was contributing factor to declining harvester efficiency by using combine harvester. Therefore, We developed a system for determination of the lodging direction by algorithm based on convolutional neural network (CNN). As for deep learning framework, Pytorch1.1.0 were used to train and test the judging direction. GoogLeNet was used as a pre-trained CNN model. Lodging... E. Morimoto, Y. Arai, K. Nonami, T. Ito Download paper
2. A geostatistical approach to define a soil fertility index based on the main soil macronutrients Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco Download paper
3. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way ... Y. Kassim

Filter results3 paper(s) found.

1. Development of Lodging Direction Determination System Using Image Processing

In this study, image processing system was developed for application on rice plants to determine lodging condition, which was contributing factor to declining harvester efficiency by using combine harvester. Therefore, We developed a system for determination of the lodging direction by algorithm based on convolutional neural network (CNN). As for deep learning framework, Pytorch1.1.0 were used to train and test the judging direction. GoogLeNet was used as a pre-trained CNN model. Lodging... E. Morimoto, Y. Arai, K. Nonami, T. Ito

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2. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

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3. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way

... Y. Kassim