Payload Manipulation for Seed Sowing Unmanned Aerial Vehicle through interface with Pixhawk Flight Controller

Yamunathangam, D.; Shanmathi, J.; Caviya, R.; Saranya, G.

doi:10.1109/icisc47916.2020.9171148

Cited by 11 publications

(3 citation statements)

References 1 publication

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“…Improving UAV energy sources, such as looking at wireless charging solutions, would decrease the downtime and improve the seeding operations in the field [198]. Payload manipulation and waypoint optimization, through interfacing with state-of-the-art flight controllers, can also help to improve planting patterns and reduce the overall cost [199].…”

Section: Development Of Unmanned Aerial Vehicle (Uav) and Robotics Technologiesmentioning

confidence: 99%

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications

Mohan

Richardson²,

Gopan³

et al. 2021

Remote Sensing

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Replanting trees helps with avoiding desertification, reducing the chances of soil erosion and flooding, minimizing the risks of zoonotic disease outbreaks, and providing ecosystem services and livelihood to the indigenous people, in addition to sequestering carbon dioxide for mitigating climate change. Consequently, it is important to explore new methods and technologies that are aiming to upscale and fast-track afforestation and reforestation (A/R) endeavors, given that many of the current tree planting strategies are not cost effective over large landscapes, and suffer from constraints associated with time, energy, manpower, and nursery-based seedling production. UAV (unmanned aerial vehicle)-supported seed sowing (UAVsSS) can promote rapid A/R in a safe, cost-effective, fast and environmentally friendly manner, if performed correctly, even in otherwise unsafe and/or inaccessible terrains, supplementing the overall manual planting efforts globally. In this study, we reviewed the recent literature on UAVsSS, to analyze the current status of the technology. Primary UAVsSS applications were found to be in areas of post-wildfire reforestation, mangrove restoration, forest restoration after degradation, weed eradication, and desert greening. Nonetheless, low survival rates of the seeds, future forest diversity, weather limitations, financial constraints, and seed-firing accuracy concerns were determined as major challenges to operationalization. Based on our literature survey and qualitative analysis, twelve recommendations—ranging from the need for publishing germination results to linking UAVsSS operations with carbon offset markets—are provided for the advancement of UAVsSS applications.

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Section: Development Of Unmanned Aerial Vehicle (Uav) and Robotics Technologiesmentioning

confidence: 99%

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications

Mohan

Richardson²,

Gopan³

et al. 2021

Remote Sensing

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“…Agricultural UAVs can fly at low height and high speed to avoid contact with the ground and crops, which is more suitable for the late-stage topdressing application of rice than ground machinery [5][6][7]. After years of research, UAV spreading technology has developed rapidly, different types of spreading devices based on UAVs have appeared, and its application in the field of fertilization has also been more and more recognized [8][9][10][11]. UAV spreading technology mainly include disc type and pneumatic type.…”

Section: Introductionmentioning

confidence: 99%

Particle Deposition Distribution of Multi-Rotor UAV-Based Fertilizer Spreader under Different Height and Speed Parameters

Song

Liu

Wang

et al. 2023

Drones

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As an effective supplement to ground machinery, UAVs play an important role in agriculture and have become indispensable intelligent equipment in the development of precision agriculture. Various types of agricultural UAV-based spreading devices, mainly disc-type and pneumatic-type, have appeared in domestic and foreign markets. UAV-based rice topdressing has gradually become a widely recognized application with great market potential. In the process of UAV-based low-altitude fertilization, due to the existence of the rotor wind field, the environment for particle air diffusion is complex, and the movement trajectory and deposition distribution of fertilizer are affected by many factors, resulting in large differences in the spreading. The flight height and speed have a great influence on particle movement and deposition, and a reasonable combination of work parameters can be used for efficient and high-quality particle deposition. In order to obtain better particle deposition distribution, this paper uses the method of a single flight line to test and analyze the characteristics of particle deposition distribution for fertilization using multi-rotor UAVs at different flight heights and speeds. The effective swath width and deposition uniformity obtained via the simulation of overlapped route superposition were used to optimized the appropriate work parameters to ensure that a reasonable and effective deposition amount can be obtained during actual application. The results show that the flight height and speed and the interaction of both have an important influence on the deposition amount and the effective width, but it is not a simple linear relationship. On the whole, as the flight height increases, the coefficient of variation decreases and the effective width increases, but it is not obvious when the speed is low. For the R20, when the flight speed is 2 m/s, the effective width first increases and then decreases with the increase in flight height, and the difference in the deposition amount at a height of 5 m is larger than that at other heights. Under the three working heights, the effective swath width is the same when the flight speed is 4 m/s and 6 m/s, and the effective swath width is also the same when the speed is 7 m and 9 m. For the T16, when the flight speed is 4 m/s, the deposition uniformity is relatively good, and the effective width increases with the increase in flight height. Therefore, the combination of 7–6 m/s and 9–4 m/s parameters will be the best operating parameters for R20 and T16. However, considering the actual dynamic meteorological environment in the field, the operating height can be appropriately lowered according to the influence of the crosswind during actual operation. The research results of this paper can provide scientific reference and suggestions for further improving the effect of UAV-based fertilization.

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“…Emerging as a solution, the field of aerial manipulation sought to equip UAVs with robotic manipulators [14][15][16] and claw-like grippers [17][18][19] . This marked the inception of a new era where UAVs could engage in tasks requiring direct physical contact 20 or load transportation 21 , thus expanding their horizons to applications like goods delivery 22,23 , autonomous transportation 24,25 , infrastructure repair 26 , assembly tasks 27 and agriculture 28,29 . However, these traditional claw-like rigid grippers required precise alignment and positioning relative to the target object 30 .…”

Section: Introductionmentioning

confidence: 99%

Constrained Trajectory Optimization and Force Control for UAVs with Universal Jamming Grippers

Kremer,

Nohooji,

Voos

2023

Preprint

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This study presents a novel framework that integrates the Universal Gripper (UG) with Unmanned Aerial Vehicles (UAVs) to enable automated grasping with no human operator in the loop. Grounded in the principles of granular jamming, the UG exhibits remarkable adaptability and proficiency, navigating the complexities of soft aerial grasping with enhanced robustness and versatility. Central to this integration is a uniquely formulated constrained trajectory optimization using model predictive control, coupled with a robust force control strategy, underpinning enhanced levels of automation and operational reliability in aerial grasping. This paradigm, while simple, is a powerful conduit for various applications, ranging from material handling to disaster response, propelling advancements toward genuine autonomy in aerial manipulation tasks. The key contributions of this research include the introduction of a constrained trajectory planning algorithm, and a force control strategy ensuring robust grasping, validated through numerical simulations and virtual experiments.

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Payload Manipulation for Seed Sowing Unmanned Aerial Vehicle through interface with Pixhawk Flight Controller

Cited by 11 publications

References 1 publication

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications

UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications

Particle Deposition Distribution of Multi-Rotor UAV-Based Fertilizer Spreader under Different Height and Speed Parameters

Constrained Trajectory Optimization and Force Control for UAVs with Universal Jamming Grippers

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