Mobile System for Optimized Planning to Drone Flight applied to the Precision Agriculture

Rabello, Andre; Brito, Robison Cris; Favarim, Fábio; Weitzenfeld, Alfredo; Todt, Eduardo

doi:10.1109/icict50521.2020.00010

Cited by 7 publications

(4 citation statements)

References 7 publications

(3 reference statements)

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“…The boom sprayer functions as a path for the liquid that has been pumped to get to the nozzles [16]The nozzle is used to spray liquid foliar fertilizer onto the land. The electronic control circuit functions to run a DC motor so that liquid can flow on the boom sprayer and into the nozzle so that the liquid can be sprayed perfectly [17]. The sprayer pump motor, fertilizer discharge can be adjusted by changing the voltage value of the pump motor through the motor driver.…”

Section: Methodsmentioning

confidence: 99%

Load and Stability Optimization Based Carbon Arm with Split Tank on Unmanned Aerial Vehicle for Foliar Fertilizer

Lutfi¹,

Purnomo²,

Rofii³

et al. 2023

jtim

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This research focuses on the load and stability of unmanned aerial vehicles that are as light as possible but with optimal stability functions and increasing the capacity of liquid fertilizer lifted by unmanned aerial vehicles. The increase in lift is related to the payload and stability to be carried by the unmanned aerial vehicle. By optimizing the arm using the arm carbon method, so without reducing the strength and function of the drone, the gross weight of the components becomes much lighter, so that the weight can be focused on increasing the capacity of liquid fertilizer. With the increase in liquid fertilizer capacity, of course, the weight also increases, this raises a new problem, which is to make the balance value when the drone take-off has a large magnitude, thus affecting stability which causes the potential to fail to fly, therefore this research was carried out so that the drone has stability. maximum and can minimize the effects of shocks from increasing capacity after using arm-carbon. The measurements taken were the success rate of the system in flying over agricultural land, power testing and current measurements. After testing, it was found that by using a split tank and carbon arm system, current and power tend to be more stable, so that battery life is longer, liquid fertilizer capacity can be increased and the potential for flight failure can be minimized with a split tank system with 90% accuracy, carried out optimizing weight with carbon arms and increasing the capacity of liquid fertilizer by 30%, using a split tank system increases the stability of the drone at take-off by up to 80%.

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Section: Methodsmentioning

confidence: 99%

Load and Stability Optimization Based Carbon Arm with Split Tank on Unmanned Aerial Vehicle for Foliar Fertilizer

Lutfi¹,

Purnomo²,

Rofii³

et al. 2023

jtim

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show abstract

“…Another mobile device used to support the farmland mapping process is the Unmanned Aerial System (UAS) or a drone [13] [14], [15]. A drone application connected to the mobile app can ease the mapping and data collection process in remote areas [14]. The drone complements the website, as accessing the desktop computer requires internet connection [13].…”

Section: Information System and Farmland Mappingmentioning

confidence: 99%

The Development of Mobile-based Farmland Mapping System with Drones and Wireless Devices

2020

IJATCSE

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Farmland is one of the strategic resources in agricultural management. Thus, this resource must be recorded and utilized correctly. One of the ways to track the utilization of farmlands is by using a farmland mapping information system. Despite so, the use of the website is considered inefficient and difficult to implement as it lacks flexibility and requires a vast space to use it. A mobile-based farmland mapping system equipped with Unmanned Aerial Vehicles (UAV) is added to "Dutatani" integrated farming system, the brainchild of the previous research. This research utilizes GPS u-Blox and Arduino module to generate the land boundaries' coordinates automatically. This wireless device is connected to the Android app integrated with the online database. The coordinates captured by the wireless device will be received by the mobile app and then turned into an online map taken from the Google Maps API satellite image. The farmland mapping results will be integrated into the Dutatani database, connecting them to the previous farmland mapping information system. Two tests are performed: (1) The accuracy testing on the farmland mapping data with Time to First Fix (TTFF) parameter; (2) Functionality testing to detect the average success rate. Based on the testing results, we conclude that the data collection process takes longer to complete (12 minutes with an average of 5.4 minutes) than the TTFF standard of the GPS u-Blox (2 minutes). The system testing success rate is 82% of the total functionality testing average we performed. Thus, this system is successfully developed, albeit its limitation in the utilization duration.

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“…It allows charging a wide variety of devices in both industrial and quotidian realms [ 1 ]. It is a game-changing technology for automating the recharging process for unmanned aerial vehicles (UAVs) or drones, particularly those employed in agriculture [ 2 ], crowd management [ 3 ], traffic monitoring in big cities [ 4 ], and disaster management [ 5 ]. The major limitation of WPT technology based on inductive coupling is the inability to maintain a high rate of wireless power transmission efficiency.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Control Design of a Non-Collaborative UAV Wireless Charging System

Allama

Habaebi

Khan³

et al. 2022

Sensors

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This study proposes an analytical model of a WPT system with three orthogonal transmitter coils organised to produce a concentrated and controlled omnidirectional magnetic field suited for charging a moving, rotating load, providing maximal energy transfer without receiving end feedback. In order to create a realistic 3D WPT simulation system and a precise controller design, the mutual coupling values in terms of the receiver angular positions are modelled using the Ansys software. In using the established model of the 3DWPT system, an extremum seeking control (ESC) is used to maximize the power transfer utilizing the input power as an objective function assigned with specified parametric values defining the WPT model. The output power transmitted by the sending-end coils to a load of a moving UAV rotating in orbit is displayed. According to simulation results, when the receiver UAV speed is close to 2250 deg/s, the controller can accomplish a maximum power transfer of 2.6w in almost 1ms.

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Mobile System for Optimized Planning to Drone Flight applied to the Precision Agriculture

Cited by 7 publications

References 7 publications

Load and Stability Optimization Based Carbon Arm with Split Tank on Unmanned Aerial Vehicle for Foliar Fertilizer

Load and Stability Optimization Based Carbon Arm with Split Tank on Unmanned Aerial Vehicle for Foliar Fertilizer

The Development of Mobile-based Farmland Mapping System with Drones and Wireless Devices

Modelling and Control Design of a Non-Collaborative UAV Wireless Charging System

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