Technological advancement in IoT and AI has made it possible to harvest the best produce, with the highest yield, at the right time, with the optimum resources
Smart IoT systems can help with the optimisation of parameters, from crop planting to harvesting, such as, light, water, fertiliser, temperature, humidity, CO2 and pollination. It saves farmers time and money and increases the bottom line and profit margins.
IoT solutions likeDGTrak synchronises each of the parameters, monitoring the growth from seedling to harvest, AI processes growth imagery, computes growth rate, identifies any bacterial or fungal risks, and adjusts parameters in real-time to achieve the optimum yield.
For example, mushrooms have six distinct phases of growth, and each phase requires a different set of control parameters (moisture, light, humidity) to get the highest yield. Since manual processing of the multitude of variables is not realistic; automated data collection, using IoT sensors along AI models, and detecting issues for quick adjustments and remedial actions, saves the day.
Companies like Ideabytes Inc specialise in data collection, consolidation and processing, with platforms like DGTrak, and developing IoT sensors such as IBSmart, to provide a turnkey solution for farmers in greenhouses or open field cultivation.
IoT sensors are created specifically for the agricultural environment, which provide reliability and accuracy by collecting data on temperature, humidity, environment, soil parameters, growth tracking and water levels, and automatically provide analytics to farm managers for growth condition optimisation.
The systems can be managed over a web-browser or a dedicated application, so that it can be viewed and controlled from any place, where internet is available. Ideabytes solutions are perfect for industrial farming and greenhouses.
DGTrak smart sensors not just collect the raw data for farm managers to view, but they also provide AI driven insights and suggestions, to maximise 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 can still maximise their produce yields, using smart farming techniques.
