Smart Agriculture Applications and Data Analysis with Industry 4.0

Yasin Ömercikoğlu; Abdullah Sevin

Makale detayları

Smart Agriculture Applications and Data Analysis with Industry 4.0

Yazarlar:

Yasin Ömercikoğlu | Abdullah Sevin

Yayıncı:

Sakarya University

Ana Başlıklar:

Software Engineering

Dergi:

Sakarya University Journal of Science Vol.28 Issue 4, pp.726-734

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324514

pISSN:

2147-835X

Anahtar kelimeler:

Özet:

 The worlds food demand is predicted to exceed its food supply significantly in the coming periods. Many physical factors, such as climate change in access to water, change the production amount and food prices. Efficient resource utilization can be achieved by developing smart agricultural applications using the IoT and image processing techniques. For this purpose, in the proposed study, a smart agriculture application was developed using IoT technology with image processing. In the proposed image processing algorithm, the crops images were processed, weight estimates were made, and their numbers were taken. The data we collect instantly can be uploaded to the cloud, and the data collected on the cloud side can be analyzed over the mobile application. Thanks to data analysis with the mobile application we have developed, we can see the current status of the crops and make instant decisions, and it also plays a role in determining market prices. With all these studies, it has been seen that agriculture can be digitalized with the technologies we use, and thus, productivity in agriculture can increase significantly.

 The worlds food demand is predicted to exceed its food supply significantly in the coming periods. Many physical factors, such as climate change in access to water, change the production amount and food prices. Efficient resource utilization can be achieved by developing smart agricultural applications using the IoT and image processing techniques. For this purpose, in the proposed study, a smart agriculture application was developed using IoT technology with image processing. In the proposed image processing algorithm, the crops images were processed, weight estimates were made, and their numbers were taken. The data we collect instantly can be uploaded to the cloud, and the data collected on the cloud side can be analyzed over the mobile application. Thanks to data analysis with the mobile application we have developed, we can see the current status of the crops and make instant decisions, and it also plays a role in determining market prices. With all these studies, it has been seen that agriculture can be digitalized with the technologies we use, and thus, productivity in agriculture can increase significantly.

 The worlds food demand is predicted to exceed its food supply significantly in the coming periods. Many physical factors, such as climate change in access to water, change the production amount and food prices. Efficient resource utilization can be achieved by developing smart agricultural applications using the IoT and image processing techniques. For this purpose, in the proposed study, a smart agriculture application was developed using IoT technology with image processing. In the proposed image processing algorithm, the crops images were processed, weight estimates were made, and their numbers were taken. The data we collect instantly can be uploaded to the cloud, and the data collected on the cloud side can be analyzed over the mobile application. Thanks to data analysis with the mobile application we have developed, we can see the current status of the crops and make instant decisions, and it also plays a role in determining market prices. With all these studies, it has been seen that agriculture can be digitalized with the technologies we use, and thus, productivity in agriculture can increase significantly.

 The worlds food demand is predicted to exceed its food supply significantly in the coming periods. Many physical factors, such as climate change in access to water, change the production amount and food prices. Efficient resource utilization can be achieved by developing smart agricultural applications using the IoT and image processing techniques. For this purpose, in the proposed study, a smart agriculture application was developed using IoT technology with image processing. In the proposed image processing algorithm, the crops images were processed, weight estimates were made, and their numbers were taken. The data we collect instantly can be uploaded to the cloud, and the data collected on the cloud side can be analyzed over the mobile application. Thanks to data analysis with the mobile application we have developed, we can see the current status of the crops and make instant decisions, and it also plays a role in determining market prices. With all these studies, it has been seen that agriculture can be digitalized with the technologies we use, and thus, productivity in agriculture can increase significantly.

Makale detayları

Smart Agriculture Applications and Data Analysis with Industry 4.0

Yazarlar:

Yasin Ömercikoğlu | Abdullah Sevin

Yayıncı:

Sakarya University

Ana Başlıklar:

Software Engineering

Dergi:

Sakarya University Journal of Science Vol.28 Issue 4, pp.726-734

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324514

pISSN:

2147-835X

Industry 4.0

Smart Agriculture

IoT

Big Data

Image Processing

Sayı

Makale detayları

Smart Agriculture Applications and Data Analysis with Industry 4.0

Yazarlar: Yasin Ömercikoğlu | Abdullah Sevin

Yayıncı: Sakarya University

Ana Başlıklar: Software Engineering

Dergi: Sakarya University Journal of Science Vol.28 Issue 4, pp.726-734

Belge Tipi: Makale

Yayın Tarihi: 8/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001324514

pISSN: 2147-835X

Industry 4.0

Smart Agriculture

IoT

Big Data

Image Processing

Sayı

Yazarlar:

Yasin Ömercikoğlu | Abdullah Sevin

Yayıncı:

Sakarya University

Ana Başlıklar:

Software Engineering

Dergi:

Sakarya University Journal of Science Vol.28 Issue 4, pp.726-734

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001324514

pISSN:

2147-835X