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Crop health monitoring systems are capable of keeping an eye on both the current rates of vegetation and the patterns of crop rotation. The app and website display several data kinds, such as vegetation indices, temperature, rain rate, growth phases, and historical weather, with the use of comprehensible charts.
The use of high resolution satellite photos with spectral analysis to track the positive and negative dynamics of crop development is known as satellite crop monitoring. This technique allows for real-time crop vegetation index monitoring for various areas and crops.
A more effective field treatment is made possible with the aid of intelligent fertiliser and irrigation application. As a result, there is a significant improvement in overall crop yield and revenue combined with the right field treatment ensuring the most effective use of resources and budget.
The Global Crop Monitoring Camera market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Agricultural Robots offers improved vision-powered devices for automated farming. With almost 8 billion people to feed, agriculture must constantly advance and adapt to new technology. In order to increase crop performance, decrease resource wastage, and reduce the need for resources like water and labor, auto farming or smart agriculture today collects, processes, and uses information from the environment, weather, and fields.
Image sensors are a crucial component of agricultural sensors used nowadays to record the colour of vegetation, recognise insects and diseases, determine the quality of the soil, etc. The automation of numerous pieces of machinery used for de-weeding, harvesting, sorting, and packing products also heavily relies on camera sensors.
capturing high-quality photos in difficult lighting situations for crop yield monitoring and weed/bug detection To accommodate the vast dimensions of agricultural robots and trucks, there are flexible cabling alternatives. assisting in the development of deep learning algorithms by supporting robust AI platforms like NVIDIA Jetson For auto farming applications including weed detection, bug detection, crop health and growth monitoring, and harvesting automation, e-con Systems offers camera solutions.
To accommodate the various dimensions of the agricultural robots and vehicles, flexible cabling alternatives are needed. The numerous wiring options for E-con system cameras may handle long distances of up to 15 metres.