Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment
In agriculture, soil is a vital element that decides the quality and yield of agricultural produce. Soil consists of various nutrients such as nitrogen (N), phosphorous (P), potassium (K), the potential of hydrogen (pH), and water content. Nitrogen is responsible for building chlorophyll, which help...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/13/10/2642 |
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| author | Devangi Hitenkumar Patel Kamya Premal Shah Rajesh Gupta Nilesh Kumar Jadav Sudeep Tanwar Bogdan Constantin Neagu Simo Attila Fayez Alqahtani Amr Tolba |
| author_facet | Devangi Hitenkumar Patel Kamya Premal Shah Rajesh Gupta Nilesh Kumar Jadav Sudeep Tanwar Bogdan Constantin Neagu Simo Attila Fayez Alqahtani Amr Tolba |
| author_sort | Devangi Hitenkumar Patel |
| collection | DOAJ |
| description | In agriculture, soil is a vital element that decides the quality and yield of agricultural produce. Soil consists of various nutrients such as nitrogen (N), phosphorous (P), potassium (K), the potential of hydrogen (pH), and water content. Nitrogen is responsible for building chlorophyll, which helps produce proteins and thus directly contributes to plant growth and development. Phosphorous is needed to develop root systems and flowers, whereas potassium helps increase disease resistance. Each of these play a role in crop cultivation. Thus, in this research paper, considering the fact that soil health will provide farmers with the best selection of crops that are compatible with their farm’s soil nutrients, we propose an algorithm for recommending a set of suitable crops based on various soil attributes. These soil nutrients can be collected in real-time using soil sensors, such as N, P, K, and pH, and humidity sensors. They can be deployed in farms where the cultivation takes place. These sensor readings would then be transferred to the blockchain layer, thereby validating the data and ensuring it is tamper-proof and evident. The crop recommendation model uses data from these sensors in real-time, increasing the results’ accuracy. The last stage leads us to display these results via a user dashboard, which helps the farmers to keep in check with their farm’s practices, and their sensor states from remote locations. |
| first_indexed | 2024-03-10T21:30:35Z |
| format | Article |
| id | doaj.art-a007f91667a4492e969fe0449551f2be |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T21:30:35Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-a007f91667a4492e969fe0449551f2be2023-11-19T15:23:03ZengMDPI AGAgronomy2073-43952023-10-011310264210.3390/agronomy13102642Blockchain-Based Crop Recommendation System for Precision Farming in IoT EnvironmentDevangi Hitenkumar Patel0Kamya Premal Shah1Rajesh Gupta2Nilesh Kumar Jadav3Sudeep Tanwar4Bogdan Constantin Neagu5Simo Attila6Fayez Alqahtani7Amr Tolba8Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, IndiaDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, IndiaDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, IndiaDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, IndiaDepartment of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad 382481, IndiaPower Engineering Department, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, RomaniaPower Systems Department, Politehnica University Timisoara, 300223 Timisoara, RomaniaSoftware Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh 11437, Saudi ArabiaComputer Science Department, Community College, King Saud University, Riyadh 11437, Saudi ArabiaIn agriculture, soil is a vital element that decides the quality and yield of agricultural produce. Soil consists of various nutrients such as nitrogen (N), phosphorous (P), potassium (K), the potential of hydrogen (pH), and water content. Nitrogen is responsible for building chlorophyll, which helps produce proteins and thus directly contributes to plant growth and development. Phosphorous is needed to develop root systems and flowers, whereas potassium helps increase disease resistance. Each of these play a role in crop cultivation. Thus, in this research paper, considering the fact that soil health will provide farmers with the best selection of crops that are compatible with their farm’s soil nutrients, we propose an algorithm for recommending a set of suitable crops based on various soil attributes. These soil nutrients can be collected in real-time using soil sensors, such as N, P, K, and pH, and humidity sensors. They can be deployed in farms where the cultivation takes place. These sensor readings would then be transferred to the blockchain layer, thereby validating the data and ensuring it is tamper-proof and evident. The crop recommendation model uses data from these sensors in real-time, increasing the results’ accuracy. The last stage leads us to display these results via a user dashboard, which helps the farmers to keep in check with their farm’s practices, and their sensor states from remote locations.https://www.mdpi.com/2073-4395/13/10/2642crop recommendation modelsoil nutrientssensor datasmart agriculturerecommendation systemsblockchain |
| spellingShingle | Devangi Hitenkumar Patel Kamya Premal Shah Rajesh Gupta Nilesh Kumar Jadav Sudeep Tanwar Bogdan Constantin Neagu Simo Attila Fayez Alqahtani Amr Tolba Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment Agronomy crop recommendation model soil nutrients sensor data smart agriculture recommendation systems blockchain |
| title | Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment |
| title_full | Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment |
| title_fullStr | Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment |
| title_full_unstemmed | Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment |
| title_short | Blockchain-Based Crop Recommendation System for Precision Farming in IoT Environment |
| title_sort | blockchain based crop recommendation system for precision farming in iot environment |
| topic | crop recommendation model soil nutrients sensor data smart agriculture recommendation systems blockchain |
| url | https://www.mdpi.com/2073-4395/13/10/2642 |
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