ABSTRACT

Precision agriculture involves manipulation of variations in field productivity, maximization of income, scale backing of wastes, and minimizing of the impact on surroundings using automated machine-controlled information assortment and documentation. This work focuses on the efficient control of farm irrigation by exploiting the capabilities of Internet of Things (IoT) and Big Data-based Decision Support System (DSS) to generate adequate valve control commands. Three varieties of prediction techniques such as Deep Neural Network (DNN), Random Forest (RF) and Resilient Back-Propagation Neural Network model are tested to predict soil Moisture Content (MC) in one hour advance by considering 6 numbers of different sensors. The real-time data collection is performed using the proposed IoT node deployment strategy tested in the field. An integrated IoT-based DSS framework is proposed to accumulate 17 numbers of soil and environmental parameters to predict future variation of soil MC in 1 h advance. Further, Structural Similarity (SSIM) Index is used to visualize and maintain uniform MC all over the agriculture area during the entire cropping period. Site and zone specific irrigation control scheme is tested in the test site using fuzzy logic-based weather dependent model. The complete system architecture, deployment strategy and performance of the proposed IoT-based DSS mechanism is discussed in this article.

摘要

精确农业涉及使用自动化的机器控制信息分类和文档处理，以控制田间生产力的变化，收入的最大化，废物的规模支持以及最小化对周围环境的影响。这项工作的重点是通过利用物联网（IoT）和基于大数据的决策支持系统（DSS）的功能来生成适当的阀门控制命令，从而有效地控制农田灌溉。测试了三种预测技术，例如深层神经网络（DNN），随机森林（RF）和弹性反向传播神经网络模型，以通过考虑6个不同的传感器来提前一小时预测土壤含水量（MC）。实时数据收集是使用在现场测试的建议物联网节点部署策略执行的。提出了一种基于物联网的集成DSS框架，该框架可累积17个土壤和环境参数，以预测1 h内土壤MC的未来变化。此外，在整个种植期间，结构相似性（SSIM）指数用于可视化并维持整个农业区域内的均匀MC。使用基于模糊逻辑的天气相关模型，在试验现场对特定地点和区域的灌溉控制方案进行了测试。本文讨论了所提出的基于IoT的DSS机制的完整系统架构，部署策略和性能。结构相似度（SSIM）索引用于在整个种植期间可视化并维持整个农业区域内的均匀MC。使用基于模糊逻辑的天气相关模型，在试验现场对特定地点和区域的灌溉控制方案进行了测试。本文讨论了所提出的基于IoT的DSS机制的完整系统架构，部署策略和性能。结构相似度（SSIM）索引用于在整个种植期间可视化并维持整个农业区域内的均匀MC。使用基于模糊逻辑的天气相关模型，在试验现场对特定地点和区域的灌溉控制方案进行了测试。本文讨论了所提出的基于IoT的DSS机制的完整系统架构，部署策略和性能。