Survey on Precision Farming using Mobile Applications

1
Faraz Ahmed
Faraz Ahmed
2
Ruman Pasha
Ruman Pasha
3
Vinay Prathap
Vinay Prathap
4
Asghar Pasha
Asghar Pasha
5
Deva Kumari
Deva Kumari
1 HKBK College of Engineering, Bengaluru, India.

Send Message

To: Author

GJCST Volume 18 Issue H1

Article Fingerprint

ReserarchID

CSTITYR0TN

Survey on Precision Farming using Mobile Applications Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

The need to provide a farmer with the right knowledge of the crops that would grow and increase the yield in respective farms is the main aim of the project. The information technologies used to accomplish the farmers problem are Mobile Application Development, Cloud Computing, Internet of Things (IoT) and Databases. The farmer will be able to choose the best and the right crops for their farm under different weather conditions, seasonal conditions and also, farmer will be able know the marketing condition such as Demand and Supply condition of the market before sowing the seeds in a farm. By meeting the Demand and Supply of the Market, a farmer will be able to increase the income which is achieved by farming on a farm. The farmer will be able to access the condition of a farm through historic records like previous 10 years conditions of the farm. The farmer will know whether the Crops are ready to be harvested or not. The farmer will also be able to know the details of all crops. All crops details will be provided to the farmer. Farmers will also be able to monitor the farm remotely using the Internet of Things (IoT) technology.

4 Cites in Articles

References

  1. I Limited (2018). Next stop USA.
  2. H Patel,D Patel (2016). Survey of Android Apps for Agriculture Sector.
  3. Shodhganga (2018). Unknown Title.
  4. Meng Jihua,Li Zhongyuan,Wu Bingfang,Xu Jin (2018). Design, development and application of a satellite-based field monitoring system to support precision farming.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Faraz Ahmed. 2019. \u201cSurvey on Precision Farming using Mobile Applications\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 18 (GJCST Volume 18 Issue H1): .

Download Citation

Issue Cover
GJCST Volume 18 Issue H1
Pg. 15- 19
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-H Classification: C.3
Version of record

v1.2

Issue date

January 23, 2019

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 5896
Total Downloads: 1354
2026 Trends
Research Identity (RIN)
Related Research

Published Article

The need to provide a farmer with the right knowledge of the crops that would grow and increase the yield in respective farms is the main aim of the project. The information technologies used to accomplish the farmers problem are Mobile Application Development, Cloud Computing, Internet of Things (IoT) and Databases. The farmer will be able to choose the best and the right crops for their farm under different weather conditions, seasonal conditions and also, farmer will be able know the marketing condition such as Demand and Supply condition of the market before sowing the seeds in a farm. By meeting the Demand and Supply of the Market, a farmer will be able to increase the income which is achieved by farming on a farm. The farmer will be able to access the condition of a farm through historic records like previous 10 years conditions of the farm. The farmer will know whether the Crops are ready to be harvested or not. The farmer will also be able to know the details of all crops. All crops details will be provided to the farmer. Farmers will also be able to monitor the farm remotely using the Internet of Things (IoT) technology.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Survey on Precision Farming using Mobile Applications

Faraz Ahmed
Faraz Ahmed HKBK College of Engineering, Bengaluru, India.
Ruman Pasha
Ruman Pasha
Vinay Prathap
Vinay Prathap
Asghar Pasha
Asghar Pasha
Deva Kumari
Deva Kumari

Research Journals