Precision Agriculture for Medicinal Plants: A Conjunction of Technologies

Recent advancements in the fields of artificial intelligence (AI) and blockchain technology have paved the emergence of new-age agricultural practices. Deep learning, one of the subsets of AI has shown remarkable results in cases of crop classification, disease detection and pest identifications whe...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Khanna, Abhirup (author)
مؤلفون آخرون: Jain, Sapna (author), Maheshwari, Piyush (author)
منشور في: 2022
الموضوعات:
الوصول للمادة أونلاين:https://bspace.buid.ac.ae/handle/1234/3095
https://doi.org/10.1109/ICECTA57148.2022.9990401.
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author Khanna, Abhirup
author2 Jain, Sapna
Maheshwari, Piyush
author2_role author
author
author_facet Khanna, Abhirup
Jain, Sapna
Maheshwari, Piyush
author_role author
dc.creator.none.fl_str_mv Khanna, Abhirup
Jain, Sapna
Maheshwari, Piyush
dc.date.none.fl_str_mv 2022
2025-05-22T10:49:31Z
2025-05-22T10:49:31Z
dc.identifier.none.fl_str_mv Khanna, A. et al. (2022) “Precision Agriculture for Medicinal Plants: A Conjunction of Technologies,” in 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp. 300–304.
https://bspace.buid.ac.ae/handle/1234/3095
https://doi.org/10.1109/ICECTA57148.2022.9990401.
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)300-304
dc.subject.none.fl_str_mv Precision agriculture , Blockchain , AI , Cloud Computing , IoT
dc.title.none.fl_str_mv Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
dc.type.none.fl_str_mv Article
description Recent advancements in the fields of artificial intelligence (AI) and blockchain technology have paved the emergence of new-age agricultural practices. Deep learning, one of the subsets of AI has shown remarkable results in cases of crop classification, disease detection and pest identifications whereas blockchain technology has enabled the creation of trusted supply chains and maintains a balance between the demand and supply of agricultural products. The two new age technologies when combined with the existing infrastructure of IoT and Cloud computing create a formidable alliance for precision agriculture. In this work of ours, we propose a conjunction of all four technologies as one single solution for the cultivation of medicinal plants. The industry for medicinal plants still hasn’t seen the impact of Agriculture 4.0 and is most dependent on traditional practices. Bringing along the practices of precision agriculture supported by ICT technologies has the potential to solve problems pertaining to environmental conditions, accessibility to the global markets, plant growth monitoring, non-uniformity of ingredients, and pre and post harvest data processing.
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identifier_str_mv Khanna, A. et al. (2022) “Precision Agriculture for Medicinal Plants: A Conjunction of Technologies,” in 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp. 300–304.
language_invalid_str_mv en
network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/3095
publishDate 2022
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Precision Agriculture for Medicinal Plants: A Conjunction of TechnologiesKhanna, AbhirupJain, SapnaMaheshwari, PiyushPrecision agriculture , Blockchain , AI , Cloud Computing , IoTRecent advancements in the fields of artificial intelligence (AI) and blockchain technology have paved the emergence of new-age agricultural practices. Deep learning, one of the subsets of AI has shown remarkable results in cases of crop classification, disease detection and pest identifications whereas blockchain technology has enabled the creation of trusted supply chains and maintains a balance between the demand and supply of agricultural products. The two new age technologies when combined with the existing infrastructure of IoT and Cloud computing create a formidable alliance for precision agriculture. In this work of ours, we propose a conjunction of all four technologies as one single solution for the cultivation of medicinal plants. The industry for medicinal plants still hasn’t seen the impact of Agriculture 4.0 and is most dependent on traditional practices. Bringing along the practices of precision agriculture supported by ICT technologies has the potential to solve problems pertaining to environmental conditions, accessibility to the global markets, plant growth monitoring, non-uniformity of ingredients, and pre and post harvest data processing.IEEE2025-05-22T10:49:31Z2025-05-22T10:49:31Z2022ArticleKhanna, A. et al. (2022) “Precision Agriculture for Medicinal Plants: A Conjunction of Technologies,” in 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA), pp. 300–304.https://bspace.buid.ac.ae/handle/1234/3095https://doi.org/10.1109/ICECTA57148.2022.9990401.en2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)300-304oai:bspace.buid.ac.ae:1234/30952025-05-22T10:51:18Z
spellingShingle Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
Khanna, Abhirup
Precision agriculture , Blockchain , AI , Cloud Computing , IoT
title Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
title_full Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
title_fullStr Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
title_full_unstemmed Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
title_short Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
title_sort Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
topic Precision agriculture , Blockchain , AI , Cloud Computing , IoT
url https://bspace.buid.ac.ae/handle/1234/3095
https://doi.org/10.1109/ICECTA57148.2022.9990401.