This market penetration, along with the growing need for commercially farmed food and produce, has led to massive expansion of technology in farming. It is now estimated that the market share for IoT in agriculture is approaching $6 billion.

Within agriculture and farming, IoT devices can help with many things. The most commonly use smart devices in farming are cloud-enabled sensors that provide data inputs on certain elements like moisture content, ambient humidity & temperature, soil PH levels, CO2 and various things like that. What sets apart smart IoT devices from other sensors, is the AI aspect that allows them to not only record and track the data points from the sensors, but also to provide insights and suggestions based on the readings. These insights can then be used to fully optimize the farm operations, leading to a better managed farm with an average higher crop yield, thus producing more revenue.

Top IoT Uses in Agriculture

1. Monitoring Climate Conditions One of the most common uses for smart agricultural devices is for monitoring the weather and climate. By using IoT sensors that pickup temperature and humidity, smart farming devices can map weather patterns and climate conditions to help choose which crops to plant, and also to help improve their overall yield.
2. Greenhouse Automation Greenhouse management has typically always been done via manual controls. This technique is now very outdated, and doesn’t work nearly as well as an automated solution., By using smart greenhouse devices like sensors and controls, farmers can automate lighting, temperature, soil condition and more. With the added touch of AI enabled smart farming devices, the AI can learn the optimal conditions for growth, and automatically set the proper conditions for the greenhouse to produce the highest yield.
3. Crop management Crop management devices are incredibly helpful for commercial farmers. IoT crop management devices can help to not only collect data on crops, but also alert farmers if there are potential issues that are arising. If the sensors pickup a pattern in the precipitation, PH level, or any other data point that could jeopardize the crop’s health, the system will alert the farmers so that they can plan accordingly.
4. Precision farming Precision farming is all about maximizing efficiency and optimizing the overall growth and crop yield. This is by far the most widely used aspect of IoT in agriculture, and it involves the use of smart sensors to collect and analyze copious amounts of data on the farm field, including lighting, temperature, soil conditions, CO2 levels, infestations, and more, and then analyzes and turns these data points into actionable intel. Farms can then use this intel to optimize the yield of their crops, while also reducing the cost of maintaining it, overall increasing their profits.
5. Predictive analytics for smart farming While precision farming focuses on taking care of your current crop, predictive farming is geared towards planning out the next year’s crop. This includes collecting data on weather patterns, current soil conditions, risk of diseases and infestations, and then turns this data into predictions for the next year. These predictions can include what crops to plant, when the best time to plant them will be, optimal harvesting time, and more.

The post IoT IN AGRICULTURE: The Top 5 Uses for Smart Farming appeared first on Blog | Ideabytes IoT®.

While a recipe may be tried and true, the chef always samples their creation in the making and adding a pinch of this and a dash of that – for a perfect dish! Ideabytes IoT®, synchronizes each of the parameters, monitoring the growth from seedling to harvest. Ai processing of growth imagery compute growth rate, identify any bacterial or fungal risks, adjust parameters in real-time to achieve optimum yield.

Take mushroom farming as an example. Mushrooms have 6 distinct phases of growth and each phase requires a different set of control parameters (moisture, light, humidity) to get the highest yield. Manually processing a multitude of variables is not realistic and static algorithms don’t cut it either. What is needed is automated continuous data collection using IoT sensors along Ai models detecting issues for quick adjustments and remedial actions to ensure optimal results.

Companies like Ideabytes® Inc specialize in data collection, consolidation and processing with platforms like Ideabytes IoT® and developing IoT sensors such to provide a turnkey solution for farmers in Greenhouses or Open field cultivation. IoT sensors are created specifically for the agricultural environment, providing reliability and accuracy. These sensors work by collecting data on temperature, humidity, environmental, soil parameters, growth tracking and water levels, and automatically provide analytics to farm managers to optimize growing conditions.

The systems can be managed over a web-browser or a dedicated application, so it can be viewed and controlled anywhere, anytime where internet is available. Ideabytes® solutions are perfect for industrial farming and greenhouses.

What sets Ideabytes IoT® aside from other smart agricultural system companies, is their innovative AI system adaptations. Ideabytes IoT® smart sensors are able to provide not only the raw data for farm managers to view, but also provide AI driven insights and suggestions to maximize the system efficiency. This AI system can detect anomalies in the fruit and vegetable growth, soil contaminations, and more. So, if there is an issue with the system, or if something is not running optimally, managers will be alerted right away for remedial actions.

By using smart farming techniques, farmers can maximize their produce yields. Smart IoT systems with Ai can help with optimization from crop planting to harvesting, saving farmers time and money which ultimately increases the bottom line and profit margins.
How can Ideabytes IoT® benefit your business? Avail of a no-charge consultation with our experts.

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