药用植物精准农业:技术的结合

Abhirup Khanna, Sapna Jain, P. Maheshwari
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引用次数: 0

摘要

人工智能(AI)和区块链技术领域的最新进展为新时代农业实践的出现铺平了道路。深度学习是人工智能的一个子集,在作物分类、疾病检测和害虫识别方面取得了显着成果,而区块链技术使可信供应链的创建成为可能,并保持了农产品供需之间的平衡。这两种新时代技术与现有的物联网和云计算基础设施相结合,为精准农业创造了一个强大的联盟。在我们的这项工作中,我们建议将所有四种技术结合起来作为药用植物栽培的单一解决方案。药用植物行业仍然没有看到农业4.0的影响,并且最依赖于传统做法。采用ICT技术支持的精准农业实践有可能解决与环境条件、全球市场准入、植物生长监测、成分不均匀以及收获前后数据处理有关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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