Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources
New zenith of agriculture technology, precision agriculture has emerged as a crucial tool to feed India and manage the scarce irrigation facility where nearly 600 million people are facing hardship of severe water crisis. This paper proposes a new algorithm of variational quantum computing (VQC), wh...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/10/epjconf_iemphys2025_01004.pdf |
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| author | Mukherjee Anshit Basu Mallik Biswadip |
| author_facet | Mukherjee Anshit Basu Mallik Biswadip |
| author_sort | Mukherjee Anshit |
| collection | DOAJ |
| description | New zenith of agriculture technology, precision agriculture has emerged as a crucial tool to feed India and manage the scarce irrigation facility where nearly 600 million people are facing hardship of severe water crisis. This paper proposes a new algorithm of variational quantum computing (VQC), which has showed potential in optimizing crop yield and resource utilisation based on the data sets such as soil quality, climate and genetic makeup of crops. The algorithm makes use of qubits to allow the real time data processing through IoT sensors to allow for real time monitoring and decision making. Two trials performed on various agricultural data sets this approach presented about 30% increase in the predictive accuracy of crop yields and 25% decrease in water and fertilizer usage. Furthermore, enhanced detection capacities enhanced illness control capacities by 40% thereby leading to decreased crop losses. In addition to bridging significant gaps in the currently available literature, this paper incorporates quantum computing into precision agriculture to offer farmers and other stakeholders’ usable formulations that may shape the future of farming with the help of advancing quantum technologies. |
| format | Article |
| id | doaj-art-cac0eaf412844ff9862b680e5ca6c8d5 |
| institution | DOAJ |
| issn | 2100-014X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-cac0eaf412844ff9862b680e5ca6c8d52025-08-20T03:08:47ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013250100410.1051/epjconf/202532501004epjconf_iemphys2025_01004Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing ResourcesMukherjee Anshit0Basu Mallik Biswadip1Final Year B. Tech Student, Computer Science and Engineering Department, Abacus Institute of Engineering and ManagementProfessor, Basic Science and Humanities Department, Institute of Engineering & Management (School of University of Engineering and Management)New zenith of agriculture technology, precision agriculture has emerged as a crucial tool to feed India and manage the scarce irrigation facility where nearly 600 million people are facing hardship of severe water crisis. This paper proposes a new algorithm of variational quantum computing (VQC), which has showed potential in optimizing crop yield and resource utilisation based on the data sets such as soil quality, climate and genetic makeup of crops. The algorithm makes use of qubits to allow the real time data processing through IoT sensors to allow for real time monitoring and decision making. Two trials performed on various agricultural data sets this approach presented about 30% increase in the predictive accuracy of crop yields and 25% decrease in water and fertilizer usage. Furthermore, enhanced detection capacities enhanced illness control capacities by 40% thereby leading to decreased crop losses. In addition to bridging significant gaps in the currently available literature, this paper incorporates quantum computing into precision agriculture to offer farmers and other stakeholders’ usable formulations that may shape the future of farming with the help of advancing quantum technologies.https://www.epj-conferences.org/articles/epjconf/pdf/2025/10/epjconf_iemphys2025_01004.pdf |
| spellingShingle | Mukherjee Anshit Basu Mallik Biswadip Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources EPJ Web of Conferences |
| title | Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources |
| title_full | Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources |
| title_fullStr | Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources |
| title_full_unstemmed | Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources |
| title_short | Transforming Precision Agriculture with Quantum Computing: A Novel Algorithm for Boosting Crop Yields and Optimizing Resources |
| title_sort | transforming precision agriculture with quantum computing a novel algorithm for boosting crop yields and optimizing resources |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2025/10/epjconf_iemphys2025_01004.pdf |
| work_keys_str_mv | AT mukherjeeanshit transformingprecisionagriculturewithquantumcomputinganovelalgorithmforboostingcropyieldsandoptimizingresources AT basumallikbiswadip transformingprecisionagriculturewithquantumcomputinganovelalgorithmforboostingcropyieldsandoptimizingresources |