Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability
Higher yields and year-round crop cultivation are provided by greenhouse farming, but there are drawbacks as well, such as the need to maintain ideal environmental conditions and safeguard crops from pests. Conventional techniques frequently use chemical pesticides, which raises issues for the envir...
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Format: | Article |
Language: | English |
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EDP Sciences
2024-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01016.pdf |
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author | Deepthi Palakurthy Subhashini Katpally Sai Vaishnavi Buddharaju Gitali Polapalli Mohammad Kahtan A. Chandrashekar Rakesh Nijhawan Ginni Kalra Ravi |
author_facet | Deepthi Palakurthy Subhashini Katpally Sai Vaishnavi Buddharaju Gitali Polapalli Mohammad Kahtan A. Chandrashekar Rakesh Nijhawan Ginni Kalra Ravi |
author_sort | Deepthi Palakurthy |
collection | DOAJ |
description | Higher yields and year-round crop cultivation are provided by greenhouse farming, but there are drawbacks as well, such as the need to maintain ideal environmental conditions and safeguard crops from pests. Conventional techniques frequently use chemical pesticides, which raises issues for the environment and human health. Through the integration of smart pest management within an Internet of Things (IoT)-powered greenhouse, the “IoT GREEN” project provides a sustainable solution. This creative system monitors important environmental variables including temperature, humidity, light, and soil moisture using wireless sensors and a Raspberry Pi. Farmers are given the ability to remotely monitor their crops thanks to the transmission of real-time data to an open-source cloud server and its visualization via a local web server. Importantly, “IoT GREEN” incorporates smart pest detection, which goes beyond simple monitoring. By identifying possible insect infestations early on and using sophisticated algorithms and picture recognition, this technology enables targeted interventions. “IoT GREEN” reduces dependency on hazardous pesticides by using non-chemical techniques like biocontrol agents or pheromone traps, promoting a more sustainable agricultural ecosystem. In addition to protecting crops, this all-encompassing strategy also fosters biodiversity, lowers environmental impact, and guarantees food safety. |
first_indexed | 2024-04-24T13:06:33Z |
format | Article |
id | doaj.art-ab774f7e3a3d4bf68c6f72a98ff29e73 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-04-24T13:06:33Z |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-ab774f7e3a3d4bf68c6f72a98ff29e732024-04-05T07:29:48ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015070101610.1051/e3sconf/202450701016e3sconf_icftest2024_01016Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainabilityDeepthi Palakurthy0Subhashini Katpally1Sai Vaishnavi Buddharaju2Gitali Polapalli3Mohammad Kahtan A.4Chandrashekar Rakesh5Nijhawan Ginni6Kalra Ravi7Department of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of AIMLE, GRIETDepartment of medical physics, college of medical sciences, Jabir Ibn Hayyan medical universityDepartment of Mechanical Engineering, New Horizon College of EngineeringLovely Professional UniversityLloyd Institute of Engineering & Technology, Knowledge Park IIHigher yields and year-round crop cultivation are provided by greenhouse farming, but there are drawbacks as well, such as the need to maintain ideal environmental conditions and safeguard crops from pests. Conventional techniques frequently use chemical pesticides, which raises issues for the environment and human health. Through the integration of smart pest management within an Internet of Things (IoT)-powered greenhouse, the “IoT GREEN” project provides a sustainable solution. This creative system monitors important environmental variables including temperature, humidity, light, and soil moisture using wireless sensors and a Raspberry Pi. Farmers are given the ability to remotely monitor their crops thanks to the transmission of real-time data to an open-source cloud server and its visualization via a local web server. Importantly, “IoT GREEN” incorporates smart pest detection, which goes beyond simple monitoring. By identifying possible insect infestations early on and using sophisticated algorithms and picture recognition, this technology enables targeted interventions. “IoT GREEN” reduces dependency on hazardous pesticides by using non-chemical techniques like biocontrol agents or pheromone traps, promoting a more sustainable agricultural ecosystem. In addition to protecting crops, this all-encompassing strategy also fosters biodiversity, lowers environmental impact, and guarantees food safety.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01016.pdf |
spellingShingle | Deepthi Palakurthy Subhashini Katpally Sai Vaishnavi Buddharaju Gitali Polapalli Mohammad Kahtan A. Chandrashekar Rakesh Nijhawan Ginni Kalra Ravi Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability E3S Web of Conferences |
title | Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability |
title_full | Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability |
title_fullStr | Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability |
title_full_unstemmed | Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability |
title_short | Beyond Food: using smart pest management in IoT greenhouses to foster environmental sustainability |
title_sort | beyond food using smart pest management in iot greenhouses to foster environmental sustainability |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/37/e3sconf_icftest2024_01016.pdf |
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