The paper, 'Opportunities for big data in conservation and sustainability', published today in Nature Communications, said increased computing speeds and data storage had grown the volume of big data in the last 40 years, but the planet was still facing serious decline. Lead author Dr Rebecca Runting from the University of Melbourne's School of Geography says that while we currently have an unprecedented ability to generate, store, access and analyse data about the environment, these technological advances will not help the world unless they lead to action. "Big data analyses must be closely linked to environmental policy and management," Dr Runting said. "For example, many large companies already possess the methodological, technical, and computational capacity to develop solutions, so it is paramount that new developments and resources are shared timely with government, and in the spirit of 'open data'."
[学术文献] Wireless technologies for smart agricultural monitoring using internet of things devices with energy harvesting capabilities 进入全文
Computers and Electronics in Agriculture
Technological advances in the Internet of Things (IoT) have paved the way for wireless technologies to be used in new areas. Agricultural monitoring is an example where IoT can help to increase productivity, efficiency, and output yield. However, powering these devices is a concern as batteries are often required due to devices being located where electricity is not readily available. In this paper, an experimental comparison is performed between IoT devices with energy harvesting capabilities that use three wireless technologies: IEEE 802.11 g (WiFi 2.4 GHz), IEEE 802.15.4 (Zigbee), and Long Range Wireless Area Network (LoRaWAN), for agricultural monitoring. Four experiments were conducted to examine the performance of each technology under different environmental conditions. According to the results, LoRaWAN is the optimal wireless technology to be used in an agricultural monitoring system, when the power consumption and the network lifetime are a priority.
Due to the traditional cloud computing-based information transmission mechanisms and IOT’s problems of large errors and low security, a heterogeneous integrated network resource management algorithm based on information security transmission is proposed. The algorithm adopts the advantages of information security transmission technology to collect resources in heterogeneous integrated network, then improves resource management algorithms and finally establishes a resource management algorithm model based on information security transmission, thereby implement the management process of heterogeneous integrated network resources. Through experimental demonstration and analysis methods, the effectiveness of the resource management algorithm is determined, which can reduce resource management errors and can improve security performance and management accuracy in the resource management process. In addition, the paper also introduces main data encryption technology and discusses the intelligent collection process of the Internet of Things(IoT), which is the technology background of the presented algorithm.
Plants use hydrogen peroxide to communicate within their leaves, sending out a distress signal that stimulates leaf cells to produce compounds that will help them repair damage or fend off predators such as insects. The new sensors can use these hydrogen peroxide signals to distinguish between different types of stress, as well as between different species of plants. This kind of sensor could be used to study how plants respond to different types of stress, potentially helping agricultural scientists develop new strategies to improve crop yields. The researchers demonstrated their approach in eight different plant species, including spinach, strawberry plants, and arugula, and they believe it could work in many more.