Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Internet of Things and Artificial Intelligence Journal
siregar, Victor M.M.
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
A Soil moisture sensor based on Internet of Things LoRa adi, Puput Dani Prasetyo; siregar, Victor M.M.
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (992.832 KB) | DOI: 10.31763/iota.v1i2.495

Abstract

This study discusses the Performance of Moisture soil sensor, which is useful as a sensor to detect soil moisture level used as plant nutrition. The monitoring process is carried out in real-time using internet of things technology based on LoRa or Long-Range Radio Frequency (IoT-LoRa). The application server used is Thingspeak. With this research, agricultural processes and monitoring can be carried out dynamically and efficiently. Therefore, when the soil conditions are dry or the soil moisture level is <300, it will immediately affect automatic watering by opening the valve or rotating the Servo motor. Furthermore, the watering process can be done automatically by looking at the soil conditions on potted plants or agricultural land. The position of the sensor on the ground level is not immediately removed and moved to another place, but it is always in the same condition and location, so the Adaptive Data Rate mechanism is used for the management of Power Consumption on IoT-LoRa
Drone simulation for agriculture and LoRa based approach adi, Puput Dani Prasetyo; Mustamu, Novilda Elizabeth; siregar, Victor M.M.; Sihombing, Volvo
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1480.208 KB) | DOI: 10.31763/iota.v1i4.501

Abstract

Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. 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. Besides spraying pesticides, regular monitoring of plants can be done with drones. 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.
Co-Authors Adi, Puput Dani Prasetyo Novilda, Mustamu Elizabeth Sihombing, Volvo