Digital t echnologies in agricult ure and rural areas stat us report
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48427-Article Text-152209-1-10-20200610
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- Identify the readiness of the crop
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Image-based insight generation In the current world scenario one of the most dissertated areas in farming today is Precision farming. Imaging through drones can assist in rigorous field analysis, in monitoring crops and scanning of fields. With a combination of Computer vision technology, drone data and IoT will ascertain that the farmers take rapid actions. Data fed from drone image could bring forth alerts in real time which would accelerate precision farming. Commercial drones makers like Aerialtronics have enforced IBM Watson IoT Platform and the Visual Recognition APIs for eal time image analysis. Some areas computer vision technology can be put to use are as follows, Disease detection The image sensing and analysis ensure that the plant leaf images are sectioned into surface areas like background, diseased area and non diseased area of the leaf. The infected or diseased area is then cropped and sent to the laboratory for further diagnosis. This further renders assistance in the identification of pest and sensing nutrient deficiency. A detailed sequence is presented in figure 1. Identify the readiness of the crop Images of various crops captured under white light and UVA light are to check how ripe the green fruits are. From this analysis the farmers could create different levels on the readiness of the fruit or crop category. Then add them into assorted stacks before sending them to the market. Field management Employing images of high definition from drone and copters systems, real time estimations can be attained during the time span of cultivation by building a field map and discovering areas where the crops require water, fertilizer and pesticides. The optimization of resource is assisted to a huge extent by this. tải về 0.51 Mb. Chia sẻ với bạn bè của bạn:
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