Variable-rate control system for UAV-based granular fertilizer spreader

Song, Cancan; Zhou, Zhiyan; Zhang, Ying; Zhao, Lingli; Yang, Wenwu; Luo, Xiwen; Jiang, Rui; Ming, Rui; Zang, Yu; Zi, Le; Zhu, Qiu-Yang

doi:10.1016/j.compag.2020.105832

Cited by 36 publications

(21 citation statements)

References 20 publications

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“…Thus, using high-powered ground machinery to fertilize rice can collapse or reduce the root system. The amount of fertilizer applied by manual spreading is dependent on subjective judgment, which makes it difficult to ensure the accuracy of fertilizer application [20,21]. Therefore, the construction of an agricultural UAV platform equipped with modular integrated centrifugal spreading machinery for variable fertilization, which integrates precision spreading devices and high-precision control systems, has become an important research direction [22,23].…”

Section: Introductionmentioning

confidence: 99%

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Yao

et al. 2022

Agriculture

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Agricultural unmanned aerial vehicles (UAVs), which are a new type of fertilizer application technology, have been rapidly developed internationally. This study combines the agronomic characteristics of rice fertilization with weighted coefficient learning-modified single-neuron adaptive proportional–integral–differential (PID) control technology to study and design an aerial real-time variable fertilizer application control system that is suitable for rice field operations in northern China. The nitrogen deficiency at the target plot is obtained from a map based on a fertilizer prescription map, and the amount of fertilizer is calculated by a variable fertilizer application algorithm. The advantages and disadvantages of the two control algorithms are analyzed by a MATLAB simulation in an indoor test, which is integrated into the spreading system to test the effect of actual spreading. A three-factor, three-level orthogonal test of fertilizer-spreading performance is designed for an outdoor test, and the coefficient of variation of particle distribution Cv (a) as well as the relative error of fertilizer application λ (b) are the evaluation indices. The spreading performance of the spreading system is the best and can effectively achieve accurate variable fertilizer application when the baffle opening is 4%, spreading disc speed is 600 r/min, and flight height is 2 m, with a and b of evaluation indexes of 11.98% and 7.02%, respectively. The control error of the spreading volume is 7.30%, and the monitoring error of the speed measurement module is less than 30 r/min. The results show that the centrifugal variable fertilizer spreader improves the uniformity of fertilizer spreading and the accuracy of fertilizer application, which enhances the spreading performance of the centrifugal variable fertilizer spreader.

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Section: Introductionmentioning

confidence: 99%

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Yao

et al. 2022

Agriculture

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“…In addition, the implementation of precision fertilizer application irrigation can gradually improve the ecological environment, meet the goals of environmental and consumer ethics, and realize the symbiosis of sustainable supply and sustainable consumption. These advances have infinite potential for promoting the sustainable development process 43 , 44 .…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Exploring consumers’ environmental ethical preferences in the context of unmanned aerial vehicle utilization for plant protection

J²,

Zhang³

et al. 2023

Sci Rep

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The use of unmanned aerial vehicles (UAVs) has increased agricultural productivity, achieved food security, and eased the pressure associated with environmental degradation and population growth. However, consumer sentiment remains unclear. The results show that pressures regarding food safety, production safety, and ecological safety have different degrees of positive impact on perceived benefits but no significant impact on perceived barriers. They strongly influence both perceived benefits to the adoption of UAV plant protection agricultural products. Perceived benefits demonstrated a mediating role between the three safety pressures and the adoption of UAVs. Lay beliefs showed a positive moderating effect on perceived benefits and obstacles to the adoption of UAV-based plant protection products. Based on these findings, this paper concludes that consumers are developing new consumer ethics that integrate concepts of food safety, safe production, and regional environmental protection with their acceptance of new technology, which is directly dependent on the combined effect of environmental and consumer ethics. To promote sustainable development, policies must be further optimized on this original basis.

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“…As an important part of precision agriculture, variable-rate technology (VRT) offers an effective way to protect the environment and increase economic benefit while farming with site-specific fertilizer inputs. Song et al [ 31 ] developed a variable-rate fertilizer control system applied to a UAV-based granular fertilizer spreader for automatically adjusting the fertilizer application rate based on a prescription map. The optimized metering apparatus showed high reliability in adjusting the rotational speed of a fluted roller motor to control the application rate as the specific relationship between them.…”

Section: Precision Crop Farmingmentioning

confidence: 99%

“…The optimized metering apparatus showed high reliability in adjusting the rotational speed of a fluted roller motor to control the application rate as the specific relationship between them. The control system showed good stability with small error and rapid response whenever in a fixed-rate pattern application, where the target discharge rate changed unregularly or in a variable-rate pattern where the prescription map was given [ 31 ].…”

Section: Precision Crop Farmingmentioning

confidence: 99%

Precision Agriculture for Crop and Livestock Farming—Brief Review

Monteiro

Santos

Gonçalves

2021

Animals

112

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In the last few decades, agriculture has played an important role in the worldwide economy. The need to produce more food for a rapidly growing population is creating pressure on crop and animal production and a negative impact to the environment. On the other hand, smart farming technologies are becoming increasingly common in modern agriculture to assist in optimizing agricultural and livestock production and minimizing the wastes and costs. Precision agriculture (PA) is a technology-enabled, data-driven approach to farming management that observes, measures, and analyzes the needs of individual fields and crops. Precision livestock farming (PLF), relying on the automatic monitoring of individual animals, is used for animal growth, milk production, and the detection of diseases as well as to monitor animal behavior and their physical environment, among others. This study aims to briefly review recent scientific and technological trends in PA and their application in crop and livestock farming, serving as a simple research guide for the researcher and farmer in the application of technology to agriculture. The development and operation of PA applications involve several steps and techniques that need to be investigated further to make the developed systems accurate and implementable in commercial environments.

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Variable-rate control system for UAV-based granular fertilizer spreader

Cited by 36 publications

References 20 publications

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Single-Neuron PID UAV Variable Fertilizer Application Control System Based on a Weighted Coefficient Learning Correction

Exploring consumers’ environmental ethical preferences in the context of unmanned aerial vehicle utilization for plant protection

Precision Agriculture for Crop and Livestock Farming—Brief Review

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