Moreover, a process, less healthy for plant growth than clean water irrigation channels with normal pH (Potential Hydrogen) required by plants. Based on research, clean water from rivers in irrigation canals that pass through residential areas to produce wastewater before it reaches plants. Farmers use many strategies or efforts to maintain fertility and plant growth to obtain more increased and productive yields. The process of controlling the flow of waste in irrigation canals is one form of effort to support the sustainability of plant growth on garden beds. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed. Besides spraying pesticides, regular monitoring of plants can be done with drones. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans.
Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. Speed is seen from the resolution specifications usedfor face recognition and image recognition, such as CIF and QVGA, and throughput (bytes)analysis of ESP32-Cam and Server using Wireshark. This research using the ESP32 camerawas made as easy as possible to be applied by everyone, but by not leaving the analysis side, oneof which is on the time side of the camera's detection of the object in front of it, how far and fast(ms), this object can be explicitly detected. Face recognition technology in this research is devoted to using the ES32 camera, whichis expected to be an inexpensive image recognition solution. The thing that can be analyzed is the delay or inference time (ms) on the ESP32camera. In this research, the tool tryingto be used is the ESP32 camera and his approach to several types of study, such as smart door locks.To activate this ESP32 camera, use the ATmega 328 mini Microcontroller, Arduino board, and FTDIProgrammer. Images Recognition and Face Recognition are a form of artificial intelligence developedon Robots and Smart CCTV, such as technology currently developing, such as YOLO Real-timeObject Detection and Images Recognition using Python language.
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