RANCANG BANGUN PENDETEKSI GULMA UNTUK PENYIRAMAN PESTISIDA PADA TANAMAN HIAS MENGGUNAKAN METODE ADALINE
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
HARDIANSYAH, RYAN FAUZAN
Sangadji, Iriansyah BM
Indrianto, Indrianto
Sangadji, Iriansyah BM
Indrianto, Indrianto
Subject
Teknik Informatika
Datestamp
2022-09-20 02:59:50
Abstract :
Plants are living things that generally have stems, roots, and leaves which can produce oxygen and can absorb carbon dioxide gas making the air cleaner. In line with the development of technology, many ornamental plant farmers still take care of their ornamental plants with manual methods. Some problems in caring ornamental plants are caused by negligence of cultivators who do not pay attention to the importance of caring for ornamental plants so that they are susceptible to nuisance organisms such as weeds. It takes a monitoring system for automatic detection and watering of pesticides to facilitate the work of ornamental plant farmers. Therefore, a prototype and web-based application were built to monitor automatic detection using ultrasonic sensors. Data from ultrasonic weed detection sensors are processed by NodeMCU ESP8266 using the Adaptive Linear Neuron method in order to get the percentage of the presence or absence of weeds in ornamental plants. The results of this study are a tool and monitoring of the Design of Automatic Weed Detection and Pesticide Spraying using the Adaptive Linear Neuron method. With the Ultrasonic sensor on the device, the data obtained from each sensor result will be sent via the NodeMCU ESP8266 and will be displayed via the thingspeak web.
Plants are living things that generally have stems, roots, and leaves which can produce oxygen and can absorb carbon dioxide gas making the air cleaner. In line with the development of technology, many ornamental plant farmers still take care of their ornamental plants with manual methods. Some problems in caring ornamental plants are caused by negligence of cultivators who do not pay attention to the importance of caring for ornamental plants so that they are susceptible to nuisance organisms such as weeds. It takes a monitoring system for automatic detection and watering of pesticides to facilitate the work of ornamental plant farmers. Therefore, a prototype and web-based application were built to monitor automatic detection using ultrasonic sensors. Data from ultrasonic weed detection sensors are processed by NodeMCU ESP8266 using the Adaptive Linear Neuron method in order to get the percentage of the presence or absence of weeds in ornamental plants. The results of this study are a tool and monitoring of the Design of Automatic Weed Detection and Pesticide Spraying using the Adaptive Linear Neuron method. With the Ultrasonic sensor on the device, the data obtained from each sensor result will be sent via the NodeMCU ESP8266 and will be displayed via the thingspeak web.
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