Design and Experimental Research of Variable Formula Fertilization Control System Based on Prescription Diagram

Niu, Kang; Bai, Shenghe; Zhou, Liming; Zhao, Bo; Liu, Lijin; Yang, Yuan; Yang, Deqiu; Xiong, Shi; Zhang, Weipeng

doi:10.3390/app12010325

Cited by 5 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The weight coefficients of the single-neuron network in Equation (7) were adjusted by the weighting coefficient learning correction, and x (k) was replaced by e(k) + ∆e(k). The method effectively improved the control strength of the weighting coefficients of each component, eliminated stability errors, and improved the dynamic characteristics of the The weighted coefficient learning-modified single-neuron control algorithm and the adaptive learning algorithm are as follows.…”

Section: Weighted Coefficient Learning-modified Single-neuron Pid Con...mentioning

confidence: 99%

“…However, ignoring significant differences in nutrient requirements and the practice of overfertilization both cause a reduction in crop yield [3]. Notably, inadequate fertilizer application limits the uptake of nutrients by crops, leading to poor quality [4][5][6][7]. Variable fertilizer application, which is one of the most effective methods for the rational distribution of fertilizer nutrients, is an important part of precision agriculture.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Yao

et al. 2022

Agriculture

View full text Add to dashboard Cite

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.

show abstract

Section: Weighted Coefficient Learning-modified Single-neuron Pid Con...mentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…The Phantom 4 RTK quadrotor UAV was used as the flight platform to acquire visible light remote sensing images, with a built-in RTK differential positioning system and a positioning accuracy of 1 cm + 1 ppm, 1 ppm means that the error increases by 1 mm for every 1 km of flight ( Lambert et al., 2019 ; Niu et al., 2021 ). DJI flight software was used to plan the route of the test area, and orthophoto raw data from the test field were obtained by taking photos at regular intervals.…”

Section: Methodsmentioning

confidence: 99%

Research on weed identification method in rice fields based on UAV remote sensing

Jin²,

Guo³

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

Rice is the world’s most important food crop and is of great importance to ensure world food security. In the rice cultivation process, weeds are a key factor that affects rice production. Weeds in the field compete with rice for sunlight, water, nutrients, and other resources, thus affecting the quality and yield of rice. The chemical treatment of weeds in rice fields using herbicides suffers from the problem of sloppy herbicide application methods. In most cases, farmers do not consider the distribution of weeds in paddy fields, but use uniform doses for uniform spraying of the whole field. Excessive use of herbicides not only pollutes the environment and causes soil and water pollution, but also leaves residues of herbicides on the crop, affecting the quality of rice. In this study, we created a weed identification index based on UAV multispectral images and constructed the WDVINIR vegetation index from the reflectance of three bands, RE, G, and NIR. WDVINIR was compared with five traditional vegetation indices, NDVI, LCI, NDRE, and OSAVI, and the results showed that WDVINIR was the most effective for weed identification and could clearly distinguish weeds from rice, water cotton, and soil. The weed identification method based on WDVINIR was constructed, and the weed index identification results were subjected to small patch removal and clustering processing operations to produce weed identification vector results. The results of the weed identification vector were verified using the confusion matrix accuracy verification method and the results showed that the weed identification accuracy could reach 93.47%, and the Kappa coefficient was 0.859. This study provides a new method for weed identification in rice fields.

show abstract

“…In the parameter range, the change in the pressure angle of the fertilizer discharge wheel directly affects the shape of its meshing gap space at a constant speed. When the pressure angle is large, the gap between the gear tooth groove and the gear tooth ridge is vast, and the gap between the gear tooth groove and the gear tooth ridge is narrow when the pressure angle is slight, so the pressure angle has a significant effect on the uniformity of the fertilizer [16,17].…”

Section: Analysis Of Fertilizer Discharge Volume In Fertilizer Capaci...mentioning

confidence: 99%

Simulation Analysis and Test of Gap Squeeze Gear Type Fertilizer Discharger for Granular Fertilizer Containing Caking

Dun

Mao

et al. 2023

Preprint

View full text Add to dashboard Cite

Precision fertilizer application technology is necessary to improve fertilizer utilization efficiency in agricultural production. To achieve precision fertilizer application and solve problems in production practice that contain the structure problem of the traditional mechanical fertilization systems, and the fertilizer discharger is blocked and can not achieve uniform fertilization because the fertilizer contains caking fertilizer in response to the characteristics of conventional fertilizers containing caking fertilizers, innovative design and system experimental simulation studies were carried out. A gap squeeze gear-type fertilizer dis-charger was designed, and fertilizer caking crushing was achieved by configuring the gear gap squeezing method. Combined with engineering practice, two mixed fertilizers (granular fertilizer with caking fertilizer) were constructed and blended by using BPM (Hertz Mindlin with bonding) discrete element, the fertilizer discharger was used as the object of study to simulate and experimentally investigate the process of crushing and discharging of mixed fertilizer and the process of uniform discharging of mixed fertilizer. The simulation test model of the separation device with vibration screen of the caking fertilizer and granular fertilizer after fertilizing was established to study the crushing rate of the caking fertilizer, and the simulation model with collection plate of the uniformity of the mixed fertilizer discharge was based on to explore the uniformity of the mixed fertilizer. The L9 (34) orthogonal test was carried out under the conditions with the number of teeth, pressure angle, and fertilization gap as test factors and the fertilizer crushing rate and fertilizer uniformity coefficient as test indicators. The test results showed that the number of teeth and pressure angle had significant effects (0.01 < P < 0.05) on the crushing fertilizer rate and fertilizer uniformity, and the fertilization gap had no significant impact (P༞0.05) on the crushing fertilizer rate and fertilizer uniformity. In the optimal combination of parameters, the number of teeth 6, pres-sure angle 15 °, fertilization gap 6mm operation, the coefficient of uniformity of crushing fertilizer rate and fertilizer uniformity were 74.89% and 17.21%, respectively. The bench test results compared with the outer groove wheeled fertilizer drainer showed that the optimized gap squeeze gear type fertilizer discharger has higher fertilizer crushing quality at different speeds, and the fertilizer crushing rate and uniformity were79.69% and 18.56%, respectively, within the error range. The simulation results are in general agreement. This study provides evidence for fertilizer discharger structure design and enhances the effect of fertilizer discharger crushing.

show abstract

Design and Experimental Research of Variable Formula Fertilization Control System Based on Prescription Diagram

Cited by 5 publications

References 9 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

Research on weed identification method in rice fields based on UAV remote sensing

Simulation Analysis and Test of Gap Squeeze Gear Type Fertilizer Discharger for Granular Fertilizer Containing Caking

Contact Info

Product

Resources

About