Design of Farmer Assistance System Through IoT/ML
Agriculture is a crucial profitable motorist. It is the main basis for the entire human life. Life cannot be imagined without agriculture. It is a source of livelihood. Everyone should pay attention to agriculture in the society. Agriculture plays an important role in improving the economy. With the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01165.pdf |
| _version_ | 1797658691258810368 |
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| author | Prasad D. Shiva Mounika N. Sekhar N. Raja Thakur Gaurav |
| author_facet | Prasad D. Shiva Mounika N. Sekhar N. Raja Thakur Gaurav |
| author_sort | Prasad D. Shiva |
| collection | DOAJ |
| description | Agriculture is a crucial profitable motorist. It is the main basis for the entire human life. Life cannot be imagined without agriculture. It is a source of livelihood. Everyone should pay attention to agriculture in the society. Agriculture plays an important role in improving the economy. With the rise in worldwide population farmers are facing problems in increasing the production of crops by choosing unsuitable crop for there field without knowing the field status. For increasing growth of crops IoT-smart agriculture improves the entire farming husbandry system by covering the field characteristics and weather conditions like soil moisture, temperature, humidity,electric conductivity etc. For getting more accurate results we need to train the dataset by taking the IoT results as an input and stored in the thing speak. But for analyzing the cloud data ML algorithms are required for tested data can help in choosing of a better crop. Based on these three algorithms such as random forest, Decision tree, KNN the better accuracy algorithm is choosen from percentage comparision of algorithms then the prediction of field status is acquired and makes the farmers to estimate their harvests, plan logistics and make decisions based on it. These proposed system can estimate the field characteristics to the farmers whether it is good or bad. |
| first_indexed | 2024-03-11T18:03:00Z |
| format | Article |
| id | doaj.art-3455d9c86ece4461945049f21aa221c3 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-11T18:03:00Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3455d9c86ece4461945049f21aa221c32023-10-17T08:47:38ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014300116510.1051/e3sconf/202343001165e3sconf_icmpc2023_01165Design of Farmer Assistance System Through IoT/MLPrasad D. Shiva0Mounika N.1Sekhar N. Raja2Thakur Gaurav3Department of Electronics and Communication Engineering, KG Reddy College of Engineering & TechnologyDepartment of Electronics and Communication Engineering, KG Reddy College of Engineering & TechnologyAssociate Professor, Department of Information Technology, GRIET, BachupallyUttaranchal Institute of Technology, Uttaranchal UniversityAgriculture is a crucial profitable motorist. It is the main basis for the entire human life. Life cannot be imagined without agriculture. It is a source of livelihood. Everyone should pay attention to agriculture in the society. Agriculture plays an important role in improving the economy. With the rise in worldwide population farmers are facing problems in increasing the production of crops by choosing unsuitable crop for there field without knowing the field status. For increasing growth of crops IoT-smart agriculture improves the entire farming husbandry system by covering the field characteristics and weather conditions like soil moisture, temperature, humidity,electric conductivity etc. For getting more accurate results we need to train the dataset by taking the IoT results as an input and stored in the thing speak. But for analyzing the cloud data ML algorithms are required for tested data can help in choosing of a better crop. Based on these three algorithms such as random forest, Decision tree, KNN the better accuracy algorithm is choosen from percentage comparision of algorithms then the prediction of field status is acquired and makes the farmers to estimate their harvests, plan logistics and make decisions based on it. These proposed system can estimate the field characteristics to the farmers whether it is good or bad.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01165.pdf |
| spellingShingle | Prasad D. Shiva Mounika N. Sekhar N. Raja Thakur Gaurav Design of Farmer Assistance System Through IoT/ML E3S Web of Conferences |
| title | Design of Farmer Assistance System Through IoT/ML |
| title_full | Design of Farmer Assistance System Through IoT/ML |
| title_fullStr | Design of Farmer Assistance System Through IoT/ML |
| title_full_unstemmed | Design of Farmer Assistance System Through IoT/ML |
| title_short | Design of Farmer Assistance System Through IoT/ML |
| title_sort | design of farmer assistance system through iot ml |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/67/e3sconf_icmpc2023_01165.pdf |
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