What are the benefits of choosing IoT solutions like smart farming?

New agricultural applications such as smart farming, precision farming and IoT enable the industry to improve operational efficiency, reduce costs, reduce waste and improve the quality of its yields. Smart farming is an emerging concept in which we integrate information and communications technologies ( IoT) that enable sensors, predictive analysis and automation to increase the number of harvests in a calendar year. 

This study aims to identify IoT solutions in smart agriculture: (i) present a systematic review of the state of IoT deployment in smart agriculture and (ii) identify the use of hardware, platforms and network protocols as well as technologies, their applicability and proposed solutions. This review aims to identify the main device platforms, network protocols, data processing and technological application of smart farming to IoT in agriculture. In this review, 12 presented the communication and data acquisition technologies used in IoT solutions for smart farming and several cloud-based IoT platforms in these solutions.    

Smart farms based on IoT solutions not only contribute to the modernisation of conventional farming. It also seeks other farming methods such as organic farming, complex or small areas and certain cattle productions.  The applications of smart IoT solutions farms are not only targeted at conventional and large farms but also represent a new lever to drive other growing common trends in agriculture, specifically organic farming and family farming.    

Smart farming is based on IoT technology, which enables growers and farmers to reduce waste and increase productivity. Intelligent farms rely on IoT solutions to eliminate the physical labour of farmers and producers, to increase productivity in every possible way.    

Precision farming involves the use of IoT solutions or technologies. It is to ensure the optimal use of resources to achieve higher yields and to reduce operating costs. With the advent of IoT in smart farming, Precision Farming is leveraging sensors, GPS maps, and data analytics to provide precise real-time insights that you can use to tailor your activities and investments to maximize the returns.    

Placing IoT sensors in the field can help farmers obtain real-time data on factors that affect plant health and overall yields such as soil quality, leaf water and possible rainfall. Farmers can make informed decisions by using IoT sensors to capture environmental and machine metrics to improve all aspects of their work, from livestock farming to plant breeding. For example, intelligent agricultural sensors to monitor crop conditions allow a farmer to define how many pesticides and fertilizers he should use to achieve optimum efficiency.    

Plant monitoring involves connecting agricultural IoT sensors to farm animals to monitor their health and performance. The data collected by intelligent agricultural sensors are sourced to farm management via key components: sensors, control systems, robotics, autonomous vehicles, automated hardware, variable-speed technology, motion detectors, buttons, cameras and portable devices. 

Another application of the IoT in agriculture is to help farmers monitor the water tank level in real-time to improve irrigation efficiencies. IoT Smart Farming can help automate irrigation processes so that farmers can control and monitor their crops.    

With the help of IoT tools, farmers can replicate similar agriculture as long as they record the data correctly. You can do the same amount of tasks in less time and increase crop yields with accurate data from the IoT (Internet of Things), enabling smart business.    

IoT-based intelligent farming improves the entire farming system by monitoring the field in real-time. Intelligent IoT farm systems are designed to monitor farmland using sensors that monitor moisture, temperature, soil moisture and plant health.    

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John Smith: John, a former software engineer, shares his insights on software development, programming languages, and coding best practices.
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