Crop recommendation system and crop monitoring using IoT

The Internet of Things (IoT) has enabled automation in every other field and is one of the emerging technologies. It facilitates communication between devices and the cloud and between the devices themselves. In the current world, many modern techniques are evolved in promoting effective and smart a...

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Main Authors: Karuna G., Ram Kumar R.P., Sanjeeva Polepaka, Deepthi Palakurthy, Saeed Hazim Y., V Asha, Kansal Lavish, Praveen
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01063.pdf
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author Karuna G.
Ram Kumar R.P.
Sanjeeva Polepaka
Deepthi Palakurthy
Saeed Hazim Y.
V Asha
Kansal Lavish
Praveen
author_facet Karuna G.
Ram Kumar R.P.
Sanjeeva Polepaka
Deepthi Palakurthy
Saeed Hazim Y.
V Asha
Kansal Lavish
Praveen
author_sort Karuna G.
collection DOAJ
description The Internet of Things (IoT) has enabled automation in every other field and is one of the emerging technologies. It facilitates communication between devices and the cloud and between the devices themselves. In the current world, many modern techniques are evolved in promoting effective and smart agriculture. Even though early and traditional farming techniques are being used in most parts of the nation, these techniques can’t guarantee the efficient yield of crops. Smart agriculture is helpful in many ways to obtain a high crop yield. The proposed work utilizes sensors and data analytics to monitor crop growth and provide recommendations on optimal farming practices. The system collects data on factors such as soil moisture, temperature, and nutrient levels to provide real-time updates on the health of the crops. The application made by Kodular can be used for monitoring the real-time conditions of the crops. It also recommends the crop to be grown based on conditions like soil type and farming season. This system can help farmers improve crop yields and reduce the need for manual labour, leading to increased efficiency and profitability in the agricultural domain.
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spelling doaj.art-1a1c5218acfd44fa9643ef25e1d1b1792024-04-05T07:29:48ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015070106310.1051/e3sconf/202450701063e3sconf_icftest2024_01063Crop recommendation system and crop monitoring using IoTKaruna G.0Ram Kumar R.P.1Sanjeeva Polepaka2Deepthi Palakurthy3Saeed Hazim Y.4V Asha5Kansal Lavish6Praveen7Department of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of AIMLE, GRIETRadiology Techniques Department, College of Medical Technology, The Islamic UniversityDepartment of Computer Applications, New Horizon College of EngineeringLovely Professional UniversityLloyd Institute of Engineering & Technology, Knowledge Park IIThe Internet of Things (IoT) has enabled automation in every other field and is one of the emerging technologies. It facilitates communication between devices and the cloud and between the devices themselves. In the current world, many modern techniques are evolved in promoting effective and smart agriculture. Even though early and traditional farming techniques are being used in most parts of the nation, these techniques can’t guarantee the efficient yield of crops. Smart agriculture is helpful in many ways to obtain a high crop yield. The proposed work utilizes sensors and data analytics to monitor crop growth and provide recommendations on optimal farming practices. The system collects data on factors such as soil moisture, temperature, and nutrient levels to provide real-time updates on the health of the crops. The application made by Kodular can be used for monitoring the real-time conditions of the crops. It also recommends the crop to be grown based on conditions like soil type and farming season. This system can help farmers improve crop yields and reduce the need for manual labour, leading to increased efficiency and profitability in the agricultural domain.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01063.pdf
spellingShingle Karuna G.
Ram Kumar R.P.
Sanjeeva Polepaka
Deepthi Palakurthy
Saeed Hazim Y.
V Asha
Kansal Lavish
Praveen
Crop recommendation system and crop monitoring using IoT
E3S Web of Conferences
title Crop recommendation system and crop monitoring using IoT
title_full Crop recommendation system and crop monitoring using IoT
title_fullStr Crop recommendation system and crop monitoring using IoT
title_full_unstemmed Crop recommendation system and crop monitoring using IoT
title_short Crop recommendation system and crop monitoring using IoT
title_sort crop recommendation system and crop monitoring using iot
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01063.pdf
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AT saeedhazimy croprecommendationsystemandcropmonitoringusingiot
AT vasha croprecommendationsystemandcropmonitoringusingiot
AT kansallavish croprecommendationsystemandcropmonitoringusingiot
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