Optimization of Pesticide Spraying Tasks via Multi-UAVs Using Genetic Algorithm

Luo, He; Niu, Yanqiu; Zhu, Moning; Hu, Xiaoxuan; Ma, Huawei

doi:10.1155/2017/7139157

Cited by 20 publications

(15 citation statements)

References 56 publications

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“…China [13] Introduce each UAV's kinematic constraint and extend the Euclidean distance between fields to the Dubins path distance. We then analyze the two factors affecting the pesticide spraying effects, which are the type of pesticides and the temperature during the pesticide spraying.…”

Section: Resultsmentioning

confidence: 99%

Proposed Spray System for Family Agriculture with A Remote-Controlled UAV (Small Drone or Helicopter) and An Economical Sprinkler

Negrete

2020

JAR

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In the country, food production is more compromised every day, despite zero efforts and government, agricultural and livestock sector, causing poverty, migration, marginalization among other social disorders in addition to food insecurity. In Mexico 34% of the population is engaged in agricultural tasks, with very small land areas. The fact that 85% of do not have more than 5 ha of arable land, and that among them, 90% do not reach 3 ha clearly indicates their great need for light machinery .The solution to these problems family farmers are provided with affordable technologies to increase their productivity. One of the most common problems in agriculture is the application of agrochemicals, which is tedious and dangerous when farmers are exposed to these highly toxic products, therefore a system is proposed is through the help of a drone or remote control helicopter, both of economic type connected by a hose to the sprinkler and a tank. Due to the danger of applying agrochemicals for family farmers who rarely follow the precautions to apply these products, the proposed alternative is attractive for small agricultural properties, although it is not free of cost, the drone and the optimal sprayer should be investigated.

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Section: Resultsmentioning

confidence: 99%

Proposed Spray System for Family Agriculture with A Remote-Controlled UAV (Small Drone or Helicopter) and An Economical Sprinkler

Negrete

2020

JAR

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“…(1) Input (number of cooperation iteration), (2) (number of cooperation iteration), (3) max (subswarm size), (4) , and (the parameters of interval analysis) are given from outer iteration. (5) Initialize ( 01 , .…”

Section: Complexitymentioning

confidence: 99%

“…Trajectory optimization with multiconstraints has been linked with some stochastic search algorithms. The typical approaches include genetic algorithms (GA) [2], differential evolution (DE) [3], and particle swarm optimization (PSO) [4][5][6]. Besides, several novel bionic optimization algorithms spring up in these years and show remarkable efficiency in the industrial domain, such as the honeybee mating optimization [7], harmony search algorithm [8], and ants swarm optimization [9]; however, they are rarely used in the aerospace field because of their excessive novelty.…”

Section: Introductionmentioning

confidence: 99%

Legendre Cooperative PSO Strategies for Trajectory Optimization

et al. 2018

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Particle swarm optimization (PSO) is a population-based stochastic optimization technique in a smooth search space. However, in a category of trajectory optimization problem with arbitrary final time and multiple control variables, the smoothness of variables cannot be satisfied since the linear interpolation is widely used. In the paper, a novel Legendre cooperative PSO (LCPSO) is proposed by introducing Legendre orthogonal polynomials instead of the linear interpolation. An additional control variable is introduced to transcribe the original optimal problem with arbitrary final time to the fixed one. Then, a practical fast one-dimensional interval search algorithm is designed to optimize the additional control variable. Furthermore, to improve the convergence and prevent explosion of the LCPSO, a theorem on how to determine the boundaries of the coefficient of polynomials is given and proven. Finally, in the numeral simulations, compared with the ordinary PSO and other typical intelligent optimization algorithms GA and DE, the proposed LCPSO has traits of lower dimension, faster speed of convergence, and higher accuracy, while providing smoother control variables.

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“…is diminished the use of the synthetic product splash in a desired sector [14]. As a result, Artificial Intelligence reduces herbicide use in the area relative to the amount of synthetic substances regularly sprayed [15].…”

Section: Introductionmentioning

confidence: 99%

Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

Ennouri

Smaoui

Gharbi

et al. 2021

Journal of Food Quality

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Artificial Intelligence is an emerging technology in the field of agriculture. Artificial Intelligence-based tools and equipment have actually taken the agriculture sector to a different level. This new technology has improved crop production and enhanced instantaneous monitoring, processing, and collection. The most recent computerized structures using remote sensing and drones have made a significant contribution to the agro-based domain. Moreover, remote sensing has the capability to support the development of farming applications with the aim of facing this main defy, via giving cyclic records on yield status during studied periods at diverse degrees and for diverse parameters. Various hi-tech, computer-supported structures are created to determine different central factors such as plant detection, yield recognition, crop quality, and several other methods. This paper includes the techniques employed for the analysis of collected information in order to enhance the productivity, forecast eventual threats, and reduce the task load on cultivators.

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Optimization of Pesticide Spraying Tasks via Multi-UAVs Using Genetic Algorithm

Cited by 20 publications

References 56 publications

Proposed Spray System for Family Agriculture with A Remote-Controlled UAV (Small Drone or Helicopter) and An Economical Sprinkler

Proposed Spray System for Family Agriculture with A Remote-Controlled UAV (Small Drone or Helicopter) and An Economical Sprinkler

Legendre Cooperative PSO Strategies for Trajectory Optimization

Usage of Artificial Intelligence and Remote Sensing as Efficient Devices to Increase Agricultural System Yields

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