Despite a growing population expected to reach 10 billion by 2050, and the agricultural industry must grow to meet demand but regardless of environmental challenges such as adverse weather conditions and climate change. New agricultural applications in smart agriculture and precision agriculture via IoT will enable the industry to increase operational efficiency, reduce costs, reduce waste and improve the quality of its output.

In smart agriculture based on IoT, a system is built to monitor the crop field using sensors (light, humidity, temperature, soil moisture, etc.) and automate the irrigation system. Farmers can monitor field conditions from anywhere. Smart agriculture based on IoT is very efficient compared to the conventional approach. In terms of environmental issues, smart agriculture based on IoT can offer great benefits, including more efficient use of water or optimization of inputs and treatments. IoT devices have become very popular in consumer markets thanks to the portable Internet of Things like smartwatches and home management products like Google Home.

Applications of IoT in agriculture are targeting conventional farms to meet growing demand and reduce waste production. IoT in agriculture uses robots, drones, remote sensors and computer images, combined with machine learning and analytics tools to monitor crops, study and map fields, and provide data to farmers for sound farm management plans to save time and money.

Now let’s talk about the main IoT-based smart farming applications that are revolutionizing agriculture.

Automation in smart greenhouses:

IoT-based smart greenhouses can intelligently monitor and control the climate, eliminating the need for manual intervention. Different sensors are deploying to measure environmental parameters depending on the specific requirements of the crop. 

  • Crop management: Like weather stations, they must be placed in the field to collect data specific to agriculture; from temperature and precipitation to leaf water potential and overall crop health. So you can monitor your crop growth and any abnormalities to effectively prevent any disease or infestation that can affect your yield.
  • Agricultural Drones: Technological advancements have almost revolutionized farming operations and the introduction of agricultural drones is the trend of disruption. Ground and aerial drones are used for crop health assessment, crop monitoring, planting, crop spraying and field analysis. With proper strategy and planning based on real-time data, drone technology has given the agricultural industry a boom and metamorphosis. Drones equipped with thermal or multispectral sensors identify areas requiring irrigation changes. Once the crops start to grow, sensors indicate their state of health and calculate their vegetation index. Ultimately, smart drones reduced environmental impact.
  • Smart Greenhouse: To make our greenhouses effective, IoT has enabled weather stations to automatically adjust weather conditions based on a particular set of instructions. These sensors collect and transmit data and monitor the condition of the greenhouse in real time. Automatic and intelligent irrigation achieved using IoT. These sensors help provide information on pressure, humidity, temperature and light levels.
  • Monitoring of climatic conditions: Probably the most popular smart farming gadgets are weather stations, combining various smart farming sensors. Located in the field, they collect environmental data and send it to the cloud. To map climatic conditions, select appropriate crops, and take actions necessary to improve their capacity. 
  • Data analytics: Cloud-based data storage and an end-to-end IoT platform is the key role in the smart farming system. In the IoT world, sensors are the primary source of large-scale data collection. Data is analyzed and transformed into meaningful information using analytical tools. Data analysis assists in the analysis of weather, livestock conditions and crop conditions. The data collected takes advantage of technological innovations and thus makes better decisions. With the help of IoT devices, you can know the real-time status of crops by capturing data from sensors. Using predictive analytics, you can gain insight to make better harvesting decisions. Trend analysis helps farmers know about upcoming weather conditions and crop harvest.

Conclusion:

Thus, IoT agricultural applications allow pastoralists and farmers to collect meaningful data. Large landowners and small farmers need to understand the potential of the IoT market for agriculture by installing smart technologies to increase the competitiveness and sustainability of their productions. As the population grows, as well as small farmers, successfully implement agricultural IoT solutions.

Data ingested by obtaining and importing information from multiple sensors in a real-time database that ensure quick action and less crop damage. With intelligent end-to-end operations and improved business process execution, products are processed faster and reach supermarkets as quickly as possible.

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