Precision Agriculture for Medicinal Plants: A Conjunction of Technologies
Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
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.
Description
Keywords
Precision agriculture
,
Blockchain
,
AI
,
Cloud Computing
,
IoT
Citation
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.