Smart Irrigation Using the Drone

Smart Irrigation Using the Drone With help of Bluetooth and Wifi Modules 


 
                In the smart irrigation system, we scrutinize dry spots and assess the extent of cultivated
                 land in farmers’ areas. When evaluating crop yield, drones capture field data through aerial imagery.
                These images undergo rigorous analysis by both human experts and virtual AI systems,
                 leveraging sophisticated algorithms and Loran technology. The insights gained facilitate precise
                crop yield duration assessment. In cases of insect infestations, AI and ML algorithms recommend
                 suitable pesticides, guiding farmers on protective measures. Ultimately, the drone compiles 
                comprehensive field data, empowering farmers with actionable insights for efficient smart irrigation management.
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Drone Live Streaming


In the realm of precision agriculture, drones play a pivotal role by capturing real-time aerial footage of agricultural fields. These drones are equipped with high-resolution cameras that live stream video data directly to cloud-based platforms. As the drone hovers above lush green crops, it captures crucial insights—moisture levels, crop health, and pest infestations. This dynamic visual data is then processed and analyzed using AI algorithms. Finally, the processed information is relayed to a web page, where farmers can access the live streaming video, enabling them to make informed decisions about irrigation, fertilization, and pest control. The seamless integration of drone technology, cloud computing, and web-based interfaces empowers farmers to optimize crop management and enhance overall yield.


Drone Captured Images


Drones serve as vigilant sentinels over vast fields. As they capture real-time images from live streaming, they provide a bird’s-eye view of crop health and conditions. These high-resolution snapshots become invaluable data points for AI and ML models. Predictive algorithms analyze moisture levels, nutrient deficiencies, and potential pest threats. Armed with this knowledge, farmers can take targeted actions—adjusting irrigation, applying fertilizers, or deploying pest control measures—to optimize crop yield and safeguard their harvests.


Drone Suggestions


When AI and ML models predict crop health, they provide invaluable insights to farmers. These models distinguish between thriving crops and those in distress, offering targeted suggestions. A green and robust crop receives a nod of approval, while ailing plants prompt recommendations for remedial actions. Armed with this knowledge, farmers can make informed decisions to optimize yield and protect their harvests.