[学术文献] Study of Wireless Communication Technologies on Internet of Things for Precision Agriculture 进入全文
Wireless Personal Communications
Precision agriculture is a suitable solution to these challenges such as shortage of food, deterioration of soil properties and water scarcity. The developments of modern information technologies and wireless communication technologies are the foundations for the realization of precision agriculture. This paper attempts to find suitable, feasible and practical wireless communication technologies for precision agriculture by analyzing the agricultural application scenarios and experimental tests. Three kinds of Wireless Sensor Networks (WSN) architecture, which is based on narrowband internet of things (NB-IoT), Long Range (LoRa) and ZigBee wireless communication technologies respectively, are presented for precision agriculture applications. The feasibility of three WSN architectures is verified by corresponding tests. By measuring the normal communication time, the power consumption of three wireless communication technologies is compared. Field tests and comprehensive analysis show that ZigBee is a better choice for monitoring facility agriculture, while LoRa and NB-IoT were identified as two suitable wireless communication technologies for field agriculture scenarios.
Methane is a potent greenhouse gas that is being added to the atmosphere through both natural processes and human activities, such as energy production and agriculture. To predict the impacts of human emissions, researchers need a complete picture of the atmosphere's methane cycle. They need to know the size of the inputs--both natural and human--as well as the outputs. They also need to know how long methane resides in the atmosphere. To help develop this understanding, Tom Weber, an assistant professor of earth and environmental sciences at the University of Rochester; undergraduate researcher Nicola Wiseman '18, now a graduate student at the University of California, Irvine; and their colleague Annette Kock at the GEOMAR Helmholtz Centre for Ocean Research in Germany, used data science to determine how much methane is emitted from the ocean into the atmosphere each year. Their results, published in the journal Nature Communications, fill a longstanding gap in methane cycle research and will help climate scientists better assess the extent of human perturbations. The study is part of Weber's effort to use data science to better understand how various greenhouse gases, including nitrogen and carbon dioxide, affect global climate systems.
Father of genetics Gregor Mendel spent years tediously observing and measuring pea plant traits by hand in the 1800s to uncover the basics of genetic inheritance. Today, botanists can track the traits, or phenotypes, of hundreds or thousands of plants much more quickly, with automated camera systems. Now, Salk researchers have helped speed up plant phenotyping even more, with machine-learning algorithms that teach a computer system to analyze three-dimensional shapes of the branches and leaves of a plant. The study, published in Plant Physiology on October 7, 2019, may help scientists better quantify how plants respond to climate change, genetic mutations or other factors.
A community garden occupies a diminutive dirt lot in Phoenix. Rows of raised garden beds offer up basil, watermelons and corn, making this patch of land an agricultural oasis in a desert city of 1.5 million people. In fact, this little garden is contributing in various ways to the city's environmental sustainability goals set by the city council in 2016. The goals consider matters such as transportation, water stewardship, air quality and food. With these goals in mind, a group of researchers led by Arizona State University assessed how urban agriculture can help Phoenix meet its sustainability goals. For example, urban agriculture could help eliminate so called "food deserts," communities that lack retail grocers. It also can provide green space, and energy and CO2 emissions savings from buildings.
Putting the world's eyes in the skies to work to improve human lives and combat climate change is now easier thanks to an overhaul of the Food and Agriculture Organization' innovative geospatial monitoring system. A new version of SEPAL - System for Earth Observation Data Access, Processing and Analysis for Land Monitoring - has been developed that enables advanced forest monitoring from mobile phones. It also provides access to high-resolution data updated daily by a fleet of more than 190 satellites run by Planet, an integrated aerospace and data analytics company. The new SEPAL 2.1 platform was launched in New York at the Nature for Climate Hub, an event coinciding with the United Nations Secretary General's Climate Action Summit.