Incorporation of computational routines in a microservice architecture in AgDataBox platform

IF 3.8 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2024-09-21 DOI:10.1016/j.suscom.2024.101038

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引用次数: 0

Abstract

Agriculture has been undergoing a digital process that aims to apply digital technologies to make the sector more productive, profitable, and environmentally responsible. This trend has been adopted since applying precision agriculture (PA) techniques and, more recently, with digital agriculture (DA). DA aims to use all available information and knowledge to enable the automation of sustainable processes in agriculture, applying data analysis methods and techniques by specific software and platforms to collect and transform data into meaningful information for agriculture. Platform AgDataBox (ADB) offers tools to allow agriculture specialists to obtain, process, and visualize data for the correct decision-making. However, its structure needed to be readjusted to new software architecture to allow the aggregation of new functionalities and expand the ADB platform. This study aimed to develop a web microservices architecture (ADB-MSA) to incorporate the required functionalities to create thematic maps (TMs) and delineate management zones (MZs). ADB-MSA provided eight microservices, six of which (statistics, spatial, interpolation, clustering, rectification, and lime/nutrient recommendation) execute procedures based on JavaScript, R, and Python programming languages. At the same time, the other two are used to store data. In the case study, the procedures to create TMs and delineate MZs were performed with data from one commercial area. Thus, the services provided in the architecture meet the steps of creating TMs and delineating MZs, as MZs for fertilizer application were generated and evaluated according to phosphorus and potassium requirements. ADB-MSA allows the development of several new client applications (web, mobile, desktop, and embedded systems) to promote solutions in agriculture, streamlining processes, as it abstracts the implementation and execution complexity of available algorithms.

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在 AgDataBox 平台的微服务架构中纳入计算例程

农业一直在经历数字化进程，目的是应用数字技术提高农业的生产率、利润和环境责任。自从应用精准农业（PA）技术，以及最近的数字农业（DA）技术以来，这一趋势已被采纳。数字农业旨在利用所有可用信息和知识，实现农业可持续流程的自动化，通过特定软件和平台应用数据分析方法和技术，收集数据并将其转化为对农业有意义的信息。AgDataBox 平台（ADB）提供了各种工具，使农业专家能够获取、处理和可视化数据，从而做出正确的决策。然而，其结构需要根据新的软件架构进行重新调整，以便聚合新的功能并扩展 ADB 平台。本研究旨在开发一个网络微服务架构（ADB-MSA），以整合创建专题地图（TM）和划定管理区（MZ）所需的功能。ADB-MSA 提供了八个微服务，其中六个（统计、空间、插值、聚类、校正和石灰/养分推荐）执行基于 JavaScript、R 和 Python 编程语言的程序。同时，另外两个用于存储数据。在案例研究中，创建 TM 和划分 MZ 的程序是利用一个商业区的数据执行的。因此，架构中提供的服务满足了创建临时管理区和划定管理区的步骤，因为根据磷和钾的需求生成并评估了施肥的管理区。ADB-MSA 允许开发多个新的客户端应用程序（网络、移动、桌面和嵌入式系统），以推广农业解决方案，简化流程，因为它抽象了现有算法的实施和执行复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.