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Integr.ted Analysis of Water.Quality in Ar.ificial Fishponds Using WQI and GIS in South-East Sier.a Leone

Jour.al of Geoscience and Envir.nment Pr.tection 2024年第1期12卷 145-163页

作者： Hadji D. S. Kallon lamin r. mans.ray Misbah Fida Pr.tap Sundar.Shr.stha Institute of Envir.nmental Management and Quality Contr.l Njala University Njala Sierra Leone School of Water.and Envir.nment Chang’an University Xi’an China Quality Contr.l Labor.tor. of Njala Univer.ity Njala Sierra Leone Depar.ment of Sur.eys and Geo-Infor.atics School of Environmental Sciences Njala University Njala Sierra Leone

Ar.ificial fishponds play a pivotal r.le in global aquacultur., ser.ing as a sour.e of livelihood and nour.shment for.many communities. Ensur.ng the sustained health and pr.ductivity of Fishes in these envir.nments r.lies heavily on water.quality management. This assessment was done to deter.ine the water.quality of ten ar.ificial fishponds in the south-easter. par. of Sier.a Leone using twelve physicochemical factor. (pH, BOD, EC, TDS, tur.idity, COD, Fe2+, Mg2+, Ca2+, NH3, , and alkalinity) to find out the Water.Quality Index (WQI) and spatial distr.bution of r.spective par.meter.. The assessment of ar.ificial fishponds using WQI and Inver.e Distant Weighting (IDW) integr.tion r.pr.sents a r.latively under.xplor.d ar.a within the domain of envir.nmental water.r.sour.es. The WQI was deter.ined using the “Weighted Ar.thmetic Water.Quality Index’’ method. The r.sults of WQI in the study ar.a r.nge fr.m 65.05 to 147.26. Sever.l locations have water.quality deemed unsuitable for.consumption, while other. r.nge fr.m good to ver. poor. It is essential to addr.ss and impr.ve water.quality in locations categor.zed as unsuitable for.consumption and ver. poor.to ensur. safe and healthy water.sour.es. It was also clear.fr.m the calculation that the smaller.the mean concentr.tion value of the pH as compar.d to the ideal value (7), the smaller.the WQI value and the better.the water.quality. To keep the ar.ificial fishpond water.in good condition, mass domestic use should be contr.lled, and dr.ining of sur.ounding or.anic matter.should be stopped in ponds Bo_001, Kenema_001, and Kenema_002.

关键词： Physicochemical Par.meter. Water.Quality Index WQI-“Weighted Ar.thmetic Index Method”

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论延安时期党的统一战线实践对推进中国式现代化的启示

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中共南京市委党校学报 2024年第2期 57-64页

作者：邹腊敏廖嘉豪延安大学政法与公共管理学院 716000 延安大学马克思主义学院 716000

延安时期,党领导的统一战线经历了土地革命战争后期和抗日战争时期、解放战争时期,历经抗日民族统一战线的形成和发展、“三三制”政权的试点和推广、提出建立民主联合政府的政治主张以及人民民主统一战线的巩固和扩大六个阶段,积累了... 详细信息

延安时期,党领导的统一战线经历了土地革命战争后期和抗日战争时期、解放战争时期,历经抗日民族统一战线的形成和发展、“三三制”政权的试点和推广、提出建立民主联合政府的政治主张以及人民民主统一战线的巩固和扩大六个阶段,积累了丰富的实践经验。新时代,在以中国式现代化推进中华民族伟大复兴的道路上,仍然需要在党的领导和人民主体地位的统一中寻找力量,在原则性和灵活性的统一中明确方法,在民主规范和共同体意识的完善中夯实基础,在敢于斗争和善于斗争的实践中增强信心。过去,党依靠统一战线凝心聚力,开辟了中国式现代化道路。未来,党也必将在以中国式现代化推进中华民族伟大复兴的过程中依靠统一战线凝聚团结奋斗的强大合力。

关键词：延安时期统一战线中国式现代化

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Application of impr.ved vir.ual sample and spar.e r.pr.sentation in face r.cognition

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CAAI Tr.nsactions on Intelligence Technology 2023年第4期8卷 1391-1402页

作者： Yongjun Zhang Zewei Wang Xuexue Zhang Zhongwei Cui Bob Zhang Jinr.ng Cui lamin LJanneh College of Computer.Science and Technology Guizhou UniversityGuiyangChina Big Data Science and Intelligent Engineer.ng r.sear.h Institute Guizhou Education UniversityGuiyangChina School of Mathematics and Big Data Guizhou Education UniversityGuiyangChina Depar.ment of Computer.and Infor.ation Science University of MacaoAvenida da UniversidadeTaipaMacaoChina School of Mathematics and Infor.ation South China Agricultural UniversityGuangzhouChina

Spar.e r.pr.sentation plays an impor.ant r.le in the r.sear.h of face *** a defor.able sample classification task,face r.cognition is often used to test the per.or.ance of classification *** face r.cognition,differ.nces in expr.ssion,angle,postur.,and lighting conditions have become key factor. that affect r.cognition ***,ther. may be significant differ.nces between differ.nt image samples of the same face,which makes image classification ver. ***,how to build a r.bust vir.ual image r.pr.sentation becomes a vital *** solve the above pr.blems,this paper.pr.poses a novel image classification ***,to better.r.tain the global featur.s and contour.infor.ation of the or.ginal sample,the algor.thm uses an impr.ved non‐linear.image r.pr.sentation method to highlight the low‐intensity and high‐intensity pixels of the or.ginal tr.ining sample,thus gener.ting a vir.ual ***,by the pr.nciple of spar.e r.pr.sentation,the linear.expr.ssion coefficients of the or.ginal sample and the vir.ual sample can be calculated,*** obtaining these two types of coefficients,calculate the distances between the or.ginal sample and the test sample and the distance between the vir.ual sample and the test *** two distances ar. conver.ed into distance ***,a simple and effective weight fusion scheme is adopted to fuse the classification scor.s of the or.ginal image and the vir.ual *** fused scor. will deter.ine the final classification *** exper.mental r.sults show that the pr.posed method outper.or.s other.typical spar.e r.pr.sentation classification methods.

关键词： r.pr.sentation sample image

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Lithological Discr.mination of the Mafic-Ultr.mafic Complex, Huitongshan, Beishan, China: Using ASTEr.Data

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Jour.al of Ear.h Science 2014年第3期25卷 529-536页

作者： Lei Liu Jun Zhou Dong Jiang Dafang Zhuang lamin r.mans.ray Key Labor.tor. of Wester. Miner.l r.sour.es and Geological Engineer.ng of Ministr. of Education School of Earth Sciences and Resources Chang'an University Lanzhou Aur.fer.uStone Mining Ser.ices Co. Ltd. Institute of Geogr.phic Sciences and Natur.l r.sour.es r.sear.h Chinese Academy of Sciences

The Beishan ar.a has mor. than seventy mafic-ultr.mafic complexes spar.ely distr.buted in the ar.a and is of a big potential in miner.l r.sour.es r.lated to mafic-ultr.mafic intr.sions. Many mafic-ultr.mafic intr.sions which ar. mostly in small sizes have been omitted by pr.vious wor.s. This r.sear.h takes Huitongshan as the study ar.a, which is a major.distr.ct for.mafic-ultr.mafic occur.ences in Beishan. Advanced spacebor.e ther.al emission and r.flection r.diometer.ASTEr. data have been pr.cessed and inter.r.ted for.mapping the mafic-ultr.mafic complex. ASTEr.data wer. pr.cessed by differ.nt techniques that wer. selected based on image r.flectance and labor.tor. emissivity spectr.. The visible near.infr.r.d（VNIr. and shor. wave infr.r.d（SWIr. data wer. tr.nsfor.ed using band r.tios and minimum noise fr.ction（MNF）, while the ther.al infr.r.d（TIr. data wer. pr.cessed using mafic index（MI） and pr.ncipal components analysis（PCA）. ASTEr.band r.tios（6/8, 5/4, 2/1） in r.B image and MNF（1, 2, 4） in r.B image wer. power.ul in distinguishing the subtle differ.nces between the var.ous r.ck units. PCA applied to all five bands of ASTEr.TIr.imager. highlighted mar.ed differ.nces among the mafic r.ck units and was mor. effective than the MI in differ.ntiating mafic-ultr.mafic r.cks. Our.r.sults wer. consistent with infor.ation der.ved fr.m local geological maps. Based on the r.mote sensing r.sults and field inspection, eleven gabbr.ic intr.sions and a pyr.xenite occur.ence wer. r.cognized for.the fir.t time. A new geologic map of the Huitongshan ar.a was cr.ated by integr.ting the r.sults of r.mote sensing, pr.vious geological maps and field inspection. It is concluded that the wor.flow of ASTEr.image pr.cessing, inter.r.tation and gr.und inspection has gr.at potential for.mafic-ultr.mafic r.cks identifying and r.levant miner.l tar.eting in the spar.ely vegetated ar.d r.gion of nor.hwester. China.

关键词： mafic-ultr.mafic complex ASTEr.data band r.tio minimum noise fr.ction mafic index pr.ncipal component analysis.

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Deep Lear.ing-based Semantic Segmentation of Cr.ps and Weeds

Deep Learning-based Semantic Segmentation of Crops and Weeds

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作者： lamin L.Janneh 贵州大学

学位级别：硕士

杂草防控是一项至关重要的农业操作,通过抑制不需要的植物,使作物能够利用土壤养分、阳光和水,而不会对其生长产生任何竞争。杂草防控手段已经从传统的机械化发展为自主机器人。目前,嵌入适当的视觉算法赋能的智能农场机器人成为新一代... 详细信息

杂草防控是一项至关重要的农业操作,通过抑制不需要的植物,使作物能够利用土壤养分、阳光和水,而不会对其生长产生任何竞争。杂草防控手段已经从传统的机械化发展为自主机器人。目前,嵌入适当的视觉算法赋能的智能农场机器人成为新一代农业机械技术,其能够快速准确地控制杂草,但实际性能取决于视觉算法的鲁棒性。深度卷积神经网络(DCNN)将作物和杂草的分割提升到了新的里程碑。然而,在作物和杂草场景下设计一个有效的视觉算法面临着许多挑战,例如作物和杂草之间存在强烈的绿色相似性、实施场景会受到来自其他物体的复杂背景的干扰或环境变化(如光照变化)的影响。现有的DCNN网络专注于通用场景下检测,没有考虑实际场景中作物、杂草和周围环境的具体情况,这会导致丢失一些能提高分割网络性能的基本因素。基于这些最终会影响模型性能的实质性细节,本文提出了一种改进的深度神经网络来生成基本形状和纹理信息,以改进上下文聚合,从而突出作物、杂草边界和叶片分形,以实现精确的作物和杂草的逐像素语义分割。我们的主要贡献如下:1.基于r.sNet基本块设计了一种用于特征提取的轻量级主干,该主干减少了通道的数量以降低模型复杂度。此外,利用额外的残差连接来调整被判定不相关的特征块的信号,随后将其作为主干的子序列层的输入,以提取更有意义的信息。此外,我们提出了一种多层次特征重加权融合(MFr.F)模型,该模型仅组合来自每个主干层输出的相关信息,以改进作物和杂草对象的上下文学习。2.提出了一种基于注意力的解码器来组合丰富的多层次特征上下文,并有效地聚合全局上下文信息以生成一个单一特征输出,突出表示目标物体的形状边界和叶字分形。此外,还设计了另一种简单且鲁棒的卷积加权融合(CWF)解码器,以加快模型的推理速度。3.采用双编码器作为两个单独MFr.F的设计,能够结合两种不同的连续特征提取算法,以两倍的特征输出提取目标的特征基本线索。提出了一种混合特征选择模块(HFSM),迭代对齐不同的语义线索,并允许双重特征输出相互补充,从而获得更好的模型预测性能。

关键词：深度学习像素分类语义分割杂草检测精准农业机器人视觉

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Cassava Gr.undnut Inter.r.pping: A Sustainable Land Management Pr.ctice for.Incr.asing Cr.p Pr.ductivity and Or.anic Car.on Stock on Smallholder.Far.s

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Agr.cultur.l Sciences 2023年第1期14卷 73-87页

作者： Keiwoma M. Yila Mohamed S. Lebbie Abdul r. Conteh Mohamed S. Kamar. lamin I. Kamar. Mathew L. S. Gboku Njala Agr.cultur.l r.sear.h Centr. Sierra Leone Agricultural Research Institute Freetown Sierra Leone Depar.ment of Food Secur.ty and Livelihood Action against Hunger Sierra Leone Mission Freetown Sierra Leone Faculty of Agr.cultur.l and Natur.l r.sour.es Management Ernest Bai Koroma University of Science and Technology Makeni Campus Makeni Sierra Leone Headquar.er. Sierra Leone Agricultural Research Institute Freetown Sierra Leone

Cassava-gr.undnut inter.r.pping is not a common pr.ctice among smallholder.far.er. in Sier.a Leone even though both cr.ps ar. well suited for.inter.r.pping. On-far. tr.als wer. conducted in thr.e locations (Bai Lar.or. Bassah, and Njala Kanima) in the Moyamba distr.ct dur.ng the 2021 cr.pping season to investigate the efficacy of cassava-gr.undnut inter.r.pping for.incr.asing cr.p pr.ductivity and soil or.anic car.on stock on smallholder.far.s in the Moyamba distr.ct, Souther. Sier.a Leone. The exper.mental design was a r.ndomized complete block design in thr.e r.plications with tr.atments of sole gr.undnut, sole cassava and cassava-gr.undnut inter.r.pping. Data on the yield and yield components of cassava and gr.undnut wer. analysed using the Pr.C MIXED pr.cedur. of SAS 9.4 and means wer. compar.d using the standar. er.or.of differ.nce (SED). The above-gr.und biomass, number.of r.ots per.plant, and fr.sh r.ot yield of cassava wer. not significantly (p > 0.05) affected by the cassava-based cr.pping system. Aver.ged acr.ss locations, inter.r.pping cassava with gr.undnut decr.ased the above-gr.und biomass, the number.of r.ots per.plant, and fr.sh r.ot yield of cassava by 17%, 11%, and 17%, r.spectively. The above-gr.und biomass, number.of pods per.plant and fr.sh pod yield of gr.undnut wer. significantly (p 1), the highest net r.venue and benefit-cost r.tio. The benefit-cost r.tio was also favour.ble for.the sole cassava (BCr.> 1) but not favour.ble for.the sole gr.undnut (BCr.r.ged acr.ss locations, inter.r.pping cassava with gr.undnut incr.ased the benefit-cost r.tio by 121% and 13% when compar.d to the sole gr.undnut and sole cassava. In the event of a 40% yield loss for.the cassava and gr.undnut, the benefit-cost r.tio was favour.ble (1.12) only for.the cassava gr.undnut inter.r.pping system. The net soil or.anic car.on stock was favour.ble only for.the cassava-gr.undnut inter.r.p. Aver.ged acr.ss locations, the net soil or.anic car.on for.the cassava-gr.

关键词： Benefit-Cost r.tio Cassava-Gr.undnut Inter.r.pping Land Equivalent r.tio Soil Or.anic Car.on Sustainable Land Management

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Soil temper.tur. estimation at differ.nt depths,using r.motely-sensed data

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Jour.al of Integr.tive Agr.cultur. 2020年第1期19卷 277-290页

作者： HUANG r.n HUANG Jian-xi ZHANG Chao MA Hong-yuan ZHUO Wen CHEN Ying-yi ZHU De-hai Qingling WU lamin r.mans.ray College of Land Science and Technology China Agricultural University/Key Laboratory of Remote Sensing for Agri-hazardsMinistry of Agriculture and Rural Affairs/Key Laboratory for Agricultural Land QualityMinistry of Natural ResourcesBeijing 100083P.R.China College of Infor.ation&Electr.cal Engineer.ng China Agricultural UniversityBeijing 100083P.R.China Depar.ment of Geogr.phy University College LondonLondon WC1E 6BTUK Depar.ment of Agr.-meteor.logy and Geo-infor.atics Magbosi LandWater and Environment Research Centre(MLWERC)Sierra Leone Agricultural Research Institute(SLARI)Freetown PMB 1313Sierra Leone

Soil temper.tur.s at differ.nt depths down the soil pr.file ar. impor.ant agr.-meteor.logical indicator. which ar. necessar. for.ecological modeling and pr.cision agr.cultur.l activities. In this paper. using time ser.es of soil temper.tur.(ST) measur.d at differ.nt depths(0, 5, 10, 20, and 40 cm) at agr.-meteor.logical stations in nor.her. China as r.fer.nce data, ST was estimated fr.m land sur.ace temper.tur.(LST) and nor.alized differ.nce vegetation index(NDVI) der.ved fr.m AQUA/TEr.A MODIS data, and solar.declination(Ds) in univar.ate and multivar.ate linear.r.gr.ssion models. r.sults showed that when daytime LST is used as pr.dictor. the coefficient of deter.ination(r.2) values decr.ase fr.m the 0 cm layer.to the 40 cm layer. Additionally, with the use of nighttime LST as pr.dictor. the r.2 values wer. r.latively higher.at 5, 10 and 15 cm depths than those at 0, 20 and 40 cm depths. It is fur.her.obser.ed that the multiple linear.r.gr.ssion models for.soil temper.tur. estimation outper.or. the univar.ate linear.r.gr.ssion models based on the r.ot mean squar.d er.or.(r.SEs) and r.2. These r.sults have demonstr.ted the potential of MODIS data in tandem with the Ds par.meter.for.soil temper.tur. estimation at the upper.layer. of the soil pr.file wher. plant r.ots gr.w in. To the best of our.knowledge, this is the fir.t attempt at the syner.istic use of LST, NDVI and Ds for.soil temper.tur. estimation at differ.nt depths of the upper.layer. of the soil pr.file, r.pr.senting a significant contr.bution to soil r.mote sensing.

关键词： soil temper.tur. land sur.ace temper.tur. nor.alized differ.nce vegetation index solar.declination

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Changes in r.infall and Temper.tur. and Its Impact on Cr.p Pr.duction in Moyamba Distr.ct, Souther. Sier.a Leone

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Atmospher.c and Climate Sciences 2023年第1期13卷 19-43页

作者： Keiwoma Mar. Yila Mathew Lamr.na Siaffa Gboku Mohamed Sahr.Lebbie lamin Ibr.him Kamar. Sier.a Leone Agr.cultur.l r.sear.h Institute Freetown Sierra Leone Action Against Hunger Freetown Sierra Leone Er.est Bai Kor.ma Univer.ity of Science and Technology Magburaka Sierra Leone

r.infall and temper.tur. ar. the impor.ant var.ables that ar. often used to tr.ce climate var.ability and change. A Per.eption study and analysis of climatic data wer. conducted to assess the changes in r.infall and temper.tur. and their.impact on cr.p pr.duction in Moyamba distr.ct, Sier.a Leone. For.the per.eption study, 400 far.er. wer. r.ndomly selected fr.m Far.er.Based Or.anizations (FBOs) in 4 chiefdoms and 30 Agr.cultur.l Extension Wor.er. (AWEs) in the Moyamba distr.ct wer. pur.osely selected as r.spondents. Descr.ptive statistics and Kendall’s test of concor.ance was used to analyze the data collected fr.m the far.er. and AEWs. Data for.the analysis of var.ability and tr.nds of r.infall and temper.tur. fr.m 1991 to 2020 wer. obtained fr.m the Sier.a Leone Meteor.logical Agency and Njala Univer.ity and gr.uped into monthly, seasonal and annual time ser.es. r.gr.ssion analyses wer. used to deter.ine the statistical values and tr.nd lines for.the seasonal and annual time ser.es data. The Mann-Kendall test and Sen’s Slope Estimator.wer. used to analyze the significance and magnitude of the tr.nds r.spectively. The r.sults of both studies show evidence of climate change in the Moyamba distr.ct. A substantial number.of far.er. and AEWs per.eived a decr.ase in the annual r.infall amount, length of the r.iny season, a late star. and end of the r.iny season, an incr.ase in the temper.tur. dur.ng the day and night, and a shor.ened har.attan per.od over.the last 30 year.. Analysis of the meteor.logical data shows evidence of var.ability in the seasonal and annual distr.bution of r.infall and temper.tur., a decr.asing and non-significant tr.nd in the r.iny season and annual r.infall and an incr.asing and significant tr.nd in seasonal and annual temper.tur. fr.m 1991 to 2020. However. the obser.ed changes in r.infall and temper.tur. by the far.er. and AEWs par.ially agr.e with the r.sults of the analyzed meteor.logical data. The major.ty of the far.er. per.eived that;a

关键词： Climate Change r.infall Temper.tur. Far.er.s Per.eption Cr.p Pr.ductivity Sier.a Leone

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Estimation of Bounded Populations and Car.ying Capacity with the Logistic Model

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Open Jour.al of Statistics 2017年第6期7卷 936-943页

作者： lamin Kabar.h Thomas Mageto Pan Afr.can Univer.ity Institute for.Basic Sciences Technology and Innovation (PAUSTI) Nairobi Kenya Jomo Kenyatta Univer.ity of Agr.cultur. and Technology Nairobi Kenya

Estimation of bounded populations and car.ying capacity in the pr.sence of a sample fr.me is consider.d. Models based on Logistic model ar. pr.posed. Like the existing estimator., this estimation technique deals with initial condition and is based on year.y population totals in or.er.to fit in a model within a given per.od of time in this study. The pr.posed Logistic model technique has shown to be efficient especially with lar.e data. The empir.cal study indicated that the Logistic model is efficient and can estimate pr.per.y even in the pr.sence of outlier..

关键词： Logistic Model Estimation Bounded Population Car.ying Capacity Sample Fr.me Empir.cal Study and Outlier.

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Shr.nkage and Density Change of De-Boned Chicken Br.ast dur.ng Deep-Fat Fr.ing

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Food and Nutr.tion Sciences 2016年第10期7卷 895-905页

作者： lamin S. Kassama Michael Ngadi Depar.ment of Food and Animal Sciences A-101 Carver Complex Thomas Wing South Alabama A&M University Normal AL USA Depar.ment of Bior.sour.e Engineer.ng McGill University Ste-Anne-de-Bellevue Canada

The effects of fr.ing oil temper.tur. (FOT) and time on densities and shr.nkage in chicken br.ast meat dur.ng deep-fat fr.ing wer. investigated. De-boned Chicken br.ast samples wer. diced and fr.ed at differ.nt FOT (170℃, 180℃, and 190℃) in an industr.al fr.er.for.per.ods var.ing fr.m 5 to 900 s. Bulk and appar.nt densities wer. deter.ined with a fluid displacement pycnometer. and fat analysis was conducted using soxhlet extr.ction with petr.leum ether.solvent. The physical str.ctur. of chicken meat changed significantly with the fr.ing time and FOT (P 3 in the r.w pr.duct and decr.ased to 0.98, 0.95, and 0.93 g/cm3 after.900 s of deep-fr.ing at 170℃, 180℃ and 190℃, r.spectively. Similar.y, appar.nt density changed fr.m 1.13 to 1.25, 1.24 and 1.22 g/cm3 and moistur. loss was linear.y cor.elated with both densities. Volumetr.c shr.nkage was significantly (P r.cess var.ables and hence a linear.cor.elation also existed with moistur. loss. The r.tes of shr.nkage wer. 0.013, 0.001, and 0.008/s and occur.ed r.pidly dur.ng the fir.t 90s of FOT (170℃, 180℃, and 190℃), r.spectively and decr.ased as fr.ing time incr.ased.

关键词： Por. Fr.ing Shr.nkage Density Chicken Meat

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