|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Development of sensor systems for precision agriculture in cotton显示文摘Precision agriculture(PA)is an information-based technology,using detailed information within an agricultural field to optimize production inputs on a spatially variable basis,maximize farm profit,and minimize environmental impact.Information collection and processing plays a very important role in PA.In recent years PA technologies have been gradually adopted in cotton production.Several sensor systems for PA were developed and field-evaluated in cotton,including a plant height measurement system(PHMS),the Mississippi cotton yield monitor(MCYM),and cotton fiber quality mapping.The PHMS used an ultrasonic sensor to scan the plant canopy and determine plant height in real time in situ.A plant height map was generated with the data collected with the PHMS.Cotton plant height showed a close relationship with yield(R2=0.63)and leaf-nitrogen content(R2=0.48).The MCYM was developed for cotton yield mapping.A patented mass-flow sensor technology was employed in the MCYM.The sensor measured optical reflectance of cotton particles passing through the sensor and used the measured reflectance to determine cotton-mass flow rates.Field tests indicated that the MCYM could measure cotton yield with an average error less than 5%,and it was easy to install and maintain.The cotton fiber-quality mapping research involved a wireless cotton module-tracking system(WCMTS)and a cotton fiber quality mapping system(CFQMS).The WCMTS was based on the concept that a cotton fiber-quality map could be generated with spatial information collected by the system during harvesting coupled with fiber quality information available in cotton classing offices.The WCMTS was constructed and tested,and it operated according to design,with module-level fiber-quality maps easily made from the collected data.The CFQMS was designed and fabricated to perform real-time measurement of cotton fiber quality as the cotton is harvested in the field.Test results indicated that the sensor was capable of accurately estimating fiber micronaire in lint cotton(R2=0.99),but estimating fiber quality in seed cotton was more difficult.Cotton fiber quality maps can be used with cotton yield maps for developing field profit maps and optimizing production inputs. | Ruixiu Sui J.Alex Thomasson Yufeng Ge | 2012 | International Journal of Agricultural and Biological Engineering2012，5，4： | 3 |
| 2 | Estimation of cotton yield with varied irrigation and nitrogen treatments using aerial multispectral imagery显示文摘Cotton yield varies spatially within a field.The variability can be caused by various production inputs such as soil properties,water management,and fertilizer application.Airborne multispectral imaging is capable of providing data and information to study effects of the inputs on yield qualitatively and quantitatively in a timely and cost-effective fashion.A 10-ha cotton field with irrigation and non-irrigation 2×2 blocks was used in this study.Six nitrogen application treatments were randomized with two replications within each block.As plant canopy was closed,airborne multispectral images of the field were acquired using a 3-CCD MS4100 camera.The images were processed to generate various vegetation indices.The vegetation indices were evaluated for the best performance to characterize yield.The effect of irrigation on vegetation indices was significant.Models for yield estimation were developed and verified by comparing the estimated and actual yields.Results indicated that ratio of vegetation index(RVI)had a close relationship with yield(R^(2)=0.47).Better yield estimation could be obtained using a model with RVI and soil electrical conductivity(EC)measurements of the field as explanatory variables(R^(2)=0.53).This research demonstrates the capability of aerial multispectral remote sensing in estimating cotton yield variation and considering soil properties and nitrogen. | Yanbo Huang Ruixiu Sui Steven J.Thomson Daniel K.Fisher | 2013 | International Journal of Agricultural and Biological Engineering2013，6，2： | 3 |
| 3 | Effects of irrigation and planting geometry on cotton(Gossypium hirsutum L.)fiber quality and seed composition显示文摘Background:Cotton fiber quality and seed composition play vital roles in the economics of cotton production systems and the cottonseed meal industry.This research aimed to examine the effects of different irrigation levels and planting geometries on fiber quality and seed composition of cotton(Gossypium hirsutum L.).We conducted a 2-year study in 2018 and 2019 in a warm,humid area in the Southeast United States on Dundee silt loam soil.There were three irrigation treatments in the study.The treatments included irrigating every furrow,or full irrigation(FI),every alternate furrow,or half irrigation(HI),and no irrigation,or rain-fed(RF).Planting geometries were on ridges spaced 102 cm apart and either a single-row(SR)or twin-rows(TR).Results:The results of high-volume instrument(HVI),advanced fiber information systems(AFIS)and near-infrared reflectance spectroscopy(NIRS)showed that irrigation and planting treatments played a significant role in fiber quality and seed composition.Across irrigation treatments,significant differences were seen in fiber properties,including fineness,maturity ratio,micronaire,neps,short fiber,strength,uniformity,upper half mean length(UHML),upper quartile length by weight(UQLw),and yellowness(+b).Irrigation and planting geometry(PG)had a significant effect on micronaire,strength,and UHML while their interaction was significant only for micronaire.The micronaire was negatively affected by irrigation as FI-SR,FI-TR,HI-SR,and HI-TR recorded 11%~12%lower over the RF-SR and TR treatments.The PG played a minor role in determining fiber quality traits like micronaire and nep count.Irrigation treatments produced significantly lower(3%~4%)protein content than rain-fed,while oil content increased significantly(6%~10%).Conclusions:The study results indicate a potential for improving cotton fiber and seed qualities by managing irrigation and planting geometries in cotton production systems in the Mississippi(MS)Delta region.The HI-TR system appears promising for lint and seed quality. | PINNAMANENI Srinivasa R. ANAPALLI Saseendran S. SUI Ruixiu BELLALOUI Nacer REDDY Krishna N. | 2021 | Journal of Cotton Research2021，4，1： | 2 |
| 4 | Cotton-harvester-flow simulator for testing cotton yield monitors显示文摘An experimental system was developed to simulate the pneumatic flow arrangement found in picker-type cotton harvesters.The simulation system was designed and constructed for testing a prototype cotton yield monitor developed at Mississippi State University.The simulation system was constructed to approximate the pneumatic cotton flow system of a cotton picker,and was capable of operating with varying cotton flow rates.The simulator was tested with different cotton flow rates,and the relationship between feeder rate and amount of conveyed seed cotton was found to be consistent.Further,the simulator was used to conduct tests with the novel optical cotton yield monitor,which proved accurate at measuring the amount of seed cotton flowing through the simulator.Finally,some differences between laboratory testing and field-testing were noted:seed cotton becomes fluffed and twisted when recycled through the simulator,and seed cotton stored in the laboratory tends to be of lower moisture content than cotton during harvest.These differences should be considered when using a laboratory simulator to test cotton yield monitors. | Ruixiu Sui J.Alex Thomasson S.D.Filip To | 2010 | International Journal of Agricultural and Biological Engineering2010，3，1： | 1 |
| 5 | Air-bar cotton lint cleaner显示文摘 | Sui Ruixiu Byler Richard K | 2012 | Applied Engineering in Agriculture2012，28，2： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员