Five Example Application of Hydroinformatics in Agriculture
In Smart Farming there is a huge application of different hydroinformatics concepts. In this article five such applications are depicted.
Smart farming focuses on increasing farm productivity through the use of technology - both hardware and software. Smart farming is concerned with the management of farms, plantations, and all associated farming activities through the use of IoT, drones, robotics, machinery, and artificial intelligence to determine a path to predictable farm output.
Smart farming is concerned with the management of farm activities through the use of data obtained from various sources (historical, geographical, and instrumental). Technological advancement does not necessarily imply that a system is intelligent. Smart agriculture technologies distinguish themselves by their ability to collect and analyze data. Smart farming uses hardware (Internet of Things) and software (Software as a Service or SaaS) to collect data and provide actionable insights to manage all farm operations, both pre and post-harvest.
Hydroinformatics, on the other hand, is a subject that deals with the application of data science and ICT in hydrology, hydropower, and hydraulic engineering. Data is also collected and analyzed here, and the process of water management for the intended use is optimally controlled using hard and software with the help of the collected data.
This article will demonstrate five different products that illustrate "How Hydroinformatics is making a farm "smart."
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Example 1: Farmsio
Water, once an abundant natural resource, has become a more valuable commodity due to droughts, overuse, and improper water management. Lack of Water resources has forced many farmer communities to move out of the agricultural sector while others have shifted from food crops to timber crops.
Farmers today can use the benefits of Farmsio – Smart Water Management Systems using the Agri-Tech solutions to enhance climate-smart farming practices. The modern Digital AG-Tech methods use minimal water to irrigate the crops and by reducing the potential leaching and overusing the groundwater.
For more information about Formsio: Click Here.
Example 2 : Rynan
Rynan is a well-known company in the field of smart agriculture in Vietnam. Their project is smart rice farming in the Mekong Delta, which uses a salinity measurement system, water management, and rice and prawn regulation systems. Rynan employs automated farming machinery as well as an automated packaging and storage system for finished goods. Click here to watch the video.
Example 3: Smart Aeroponic Systems
To ensure food security, population growth necessitates a significant increase in agricultural production. However, further expansion of such production is hampered by environmental crises and the negative effects of open-field agricultural practices. Vertical farming techniques, such as aeroponics, can be used to optimize resource use. Based on IoT and artificial intelligence algorithms, this paper proposed a novel methodology for developing smart aeroponic systems. The proposed methodology is used to identify the plant growth parameters and their relationships with plant performance indicators. The developed smart aeroponic system will be capable of automatically balancing resource utilization (such as water, nutrients, and energy) and crop productivity. Click here to read the entire article.
Example 4: Smart Aeroponics Agriculture using IoT
This project job has been suggested as smart aeroponics agriculture using IoT. The Internet of Things (IoT) technology is used to monitor, control, and deliver the nutritional and water needs of plants. The plants performed well under the 15-day nutritional and environmental conditions, according to the findings. The microcontroller and submersible pump timing sequence used to deliver nutrients to the plants promotes the growth of healthy roots. Both computer vision and optical inspection, which are used as proof of plant growth, show this.
Click here to read the entire article.
Example 5: Smart Water Irrigation System with Moisture Monitoring through WSNs
Wireless sensor networks (WSNs) can be an important tool for promoting economic growth in the agricultural industry. Using network devices in agriculture has the potential to improve production. However, energy efficiency is one of the major challenges that WSN faces. In order to efficiently utilize sensor nodes in agricultural production and water distribution, a model based on the water pipeline method is proposed. A water pipeline is an important structure used to transport potable water over long distances for consumption or irrigation. Water pipeline leaks, on the other hand, are the most serious transportation issues. As a result, water resources may be depleted. To avoid such issues, these pipes must be monitored in real-time.
The proposed system was designed with Saudi Arabia's extremely hot climate in mind. As a result, the Sahara Desert covers the vast majority of the country. In the research, a water-saving irrigation control system was created based on wireless sensor networks, which consist of low-power wireless sensor nodes that communicate via an ad hoc ZigBee network. The soil moisture information parameters like soil water degree, temperature, and relative humidity were tracked and used to calculate moisture potential. This information will be gathered using a four-channel temperature and humidity transmitter for further analysis and based on the outcome the entire process will be controlled.
Click here to read the entire article.
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