Method for pests detecting in stored grain based on spectral residual saliency edge detection

Pests detecting is an important research subject in grain storage field.In the past decades,many edge detection methods have been applied to the edge detection of stored grain pests.Although some of them can realize the stored grain pests detecting,precision and robustness are not good enough.Spectral residual(SR)saliency edge detection defines the logarithmic spectrumof image as novelty part of the image information.The remaining spectrumis converted to the airspace to obtain edge detection results.SR algorithm is completely based on frequency domain processing.It not only can effectively simplify the target detection algorithm,but also can improve the effectiveness of target recognition.The experimental results show that the edge results of stored grain pests detected by SR method are effective and stable.

A Design of Acoustic Signal Wireless Acquisition System for Stored Grain Pests Based on Compressed Sensing

In order to achieve the acoustic signal distributed acquisition of stored grain pests, a novel acoustic signal acquisition system was presented based on the wireless sensor networks. And the system architecture, hardware configuration, and software were introduced in detail. Considering bandwidth limitation of wireless sensor networks, random sampling algorithm based on the compressed sensing theory was proposed. The developed acoustic signal acquisition system was applied in sampling the crawl acoustic signal of Tribolinm castaneum Herbst adults in granary. Preliminary experimentation indicated the rationality and practicability of the developed system and the proposed algorithm. They can implement the remote, real-time, and reliable wireless transmission for the acoustic signal sampled data of multiple points stored grain pests effectively.

Diversity of Stored Grain Insect Pests in the Logone Valley, from Northern Cameroon to Western Chad Republic in Central Africa

Insects are major pests of stored grains. In sub Sahara Africa, stored grain insect pests are mainly Coleoptera or Lepidoptera. In the Logone Valley, area covering the Far North Region of Cameroon and South-West of Chad, to our knowledge, the diversity of insect pests noxious to stored products is not established. These beetles and weevils （Insecta：Coleoptera） during their development depreciate food in storage, were able to destroy a whole stock in a very short period of time if no protection of stored food is made. To achieve the diversity of insect pests, inspections of granaries were done in 209 villages of Logone Valley where insect pests were collected and identified. Secondly, the stored grains were sampled in peasant＇s granaries of Logone Valley and reared in incubators in the Unit of Entomological Research of the University of Ngaound6r6. After their emergence, insects were removed, collected and identified. Their noxious efficiency on stored grains is done by the calculation of the density of each insect pests per gram of grains. This study indicates that 12 species of harmful insects attack cereals and leguminous grains in the Logone Valley during storage. The Bruchids were the main insect pests of legumes. Callosobruchus maculatus was the main pest of legume and attacking mainly cowpeas （34.92 bruchids/g of seed） and peanuts （20.75 bruchids/g of seed）. Seven harmful species destroy the cereals. Sitophilus zeamais is the main pest of maize （15.86 weevils/g of maize） and S. oryzae, for sorghum （36.59 weevils/g of maize）. Tribolium castaneum were the main secondary pest. T. castaneum infests both cereals and leguminous. This work summarizes the importance and the diversification of stored grain pests in Logone Valley. Knowing the pest diversity is an important step in the strategy to develop a friendly and ecological control method of these harmful insects.

An Intelligence Decision Support System for Diagnosis and Management of Grain and Cotton Crop Pests in Xinjiang

Xinjiang Uygur Autonomous Region is a scarcely populated area in China and technicians for plant protection are extremely deficient.The occurrence areas of insect pests in grain and cotton crops have been increasing year by year, causing serious economic losses. Aiming for several main grain and economic crops of Xinjiang(cotton, corn and wheat), an intelligence decision support system for diagnosis and management of grain and cotton crop pests in Xinjiang was designed and developed, which was based on android platform and windows system architecture. APP application program of smart phones was used as an implementation form. The intelligence decision support system will help plant protection personnel and farmers to solve local pest recognition and prevention control problem at the grassroots level in Xinjiang remote regions.

Simulation of strain induced abnormal grain growth in aluminum alloy by coupling crystal plasticity and phase field methods

A mesoscale modeling methodology is proposed to predict the strain induced abnormal grain growth in the annealing process of deformed aluminum alloys. Firstly, crystal plasticity finite element(CPFE) analysis is performed to calculate dislocation density and stored deformation energy distribution during the plastic deformation. A modified phase field(PF) model is then established by extending the continuum field method to consider both stored energy and local interface curvature as driving forces of grain boundary migration. An interpolation mapping approach is adopted to transfer the stored energy distribution from CPFE to PF efficiently. This modified PF model is implemented to a hypothetical bicrystal firstly for verification and then the coupled CPFE-PF framework is further applied to simulating the 2D synthetic polycrystalline microstructure evolution in annealing process of deformed AA3102 aluminum alloy.Results show that the nuclei with low stored energy embedded within deformed matrix tend to grow up, and abnormal large grains occur when the deformation is close to the critical plastic strain, attributing to the limited number of recrystallized nuclei and inhomogeneity of the stored energy.

Pest Management of Storage Pests Using Extracts of Afrostyrax lepidophyllus against Sitophilus zeama＇（s, Tribolium castaneum and Rhyzopertha dominica

The use of botanical pesticides in pest management during storage against insects is often encouraged because synthetic insecticides produce multiple side-effects on human health and environment. Insecticidal activity of the hexane, dichloromethane, ethyl acetate and methanol extracts of bark ofAfrostyrax lepidophyllus was tested on Sitophilus zeama~：~, Tribolium castaneum and Rhy-opertha dominica. The mortality rate was measured variable. The results of analysis showed that the mortality rate has a very highly significant variation following extracts, doses, insects and time considered （P 〈 0.001）. Extracts with ethyl acetate and hexane of A. lepidophyllus are effective against S. zeamais at the highest doses （1 g/10 mL and 0.5 g/10 mL of solvent）. These effective extracts werc characterized by gas chromatography coupled with mass spectrometry. Molecules such as thiocyanic acid, ethyl ester： dimetbylditbiophosphinic acid and other were characterizated. These results may consolidate traditional use ofA. lepidophylh^s in pest management.

Potential of the neonicotinoid imidacloprid and the oxadiazine indoxacarb for controlling five coleopteran pests of stored grain

The potential for using imidacloprid （a neonicotinoid） and indoxacarb （an oxadiazine） as grain protectants was investigated in bioassays against resistant strains of five stored grain beetles. The species investigated were Rhyzopertha dominica （E） （the lesser grain borer）, Sitophilus oryzae （L.） （the rice weevil）, Tribolium castaneum （Herbst） （the rust-red flour beetle）, Oryzaephilus surinamensis （L.） （the saw tooth flour beetle）, and Cryptolestesferrugineus （Stephens） （the fiat grain beetle）. Each of these species has developed resistance to one or more protectants, including organophosphorus insecticides, synthetic pyrethroids and the juvenile hormone analogue methoprene. Mortality and re- production after a 2-week exposure of adults to treated wheat depended on species, dose and insecticide. Imidacloprid had no effect on S. oryzae at any dose, but none of the other species produced any live progeny at 10 mg/kg. Indoxacarb had no effect on T. castaneum at any dose, but none of the other species produced any live progeny at 5 mg/kg. The results show that although both imidacloprid and indoxacarb can control at least four of the five key pests tested at doses comparable to those used for organophosphorus protectants, more potent neonicotinoid or oxadiazine insecticides would be needed than either of these to provide broad spectrum protection of stored grain .

INSECTO防治储粮害虫研究

在实验条件下，用不同剂量 的ＩＮＳＥＣＴＯ拌入小麦和大米后，以玉米象、赤拟谷盗和谷蠹作为受试害虫，研究了ＩＮＳＥＣＴＯ对上述害虫的防治效果。在此基础上，又分别进行了围用装试验和包装粮垛麻袋表面喷洒防虫试验，结果表明，ＩＮＳＥＣ－ＴＯ对３种受试验虫均有国好的防治效果。以０．１％剂量拦和粮食其效果与１００ｐｐｍ杀螟松基本相同，但化学性质比镣螟松稳定且无化学药剂的毒残留，对人畜更为安全。

Wi-Pest:一种基于CSI的储粮害虫检测方法

在粮食储藏过程中,影响粮食安全的环境和生物因素,如粮食温度、环境湿度、水分、气体、霉变、害虫等,均会对粮食储藏安全构成威胁,其中害虫是威胁粮食储藏安全的一个重要因素。因此,需要研究一种快速且有效的检测方法,用于检测储粮害虫。现有的一些方法耗时、设备昂贵、具有潜在的健康危害并且检测效率较低,提出了一种基于信道状态信息(CSI, channel state information)振幅的非接触、快速、低成本的储粮害虫检测方法,即无线测害虫(Wi-Pest, wireless-pest)。通过使用CSI振幅数据验证储粮害虫检测的可行性,在此基础上,设计了Wi-Pest检测方法。首先对CSI振幅数据进行异常值检测、数据归一化和噪声消除预处理,然后通过主成分分析(PCA,principal component analysis)方法压缩数据并提取主特征成分,最后采用随机森林(RF,random forest)分类方法检测储粮害虫。实验结果表明,所提方法在视距(LOS,lineofsight)场景下,能够检测粮堆活体害虫密度的异常情况,检测精度平均可以达到97%。

Diatomaceous earths as alternatives to chemical insecticides in stored grain

Diatomaceous earth （DE） is a natural inert dust used to control insect pests in stored grain as an alternative to synthetic residual insecticides. Various DE formulations are now registered as a grain protectant or for structural treatment in many different countries throughout the world. The mode of action of DE is through the absorption of cuticular waxes in the insect cuticle, and insect death occurs from desiccation. The main advantages of using DE are its low mammalian toxicity and its stability. The main limitations to widespread commercial use of DE are reduction of the bulk density and flowability of grain, irritant hazards during application and reduction in efficacy at high moisture contents. This paper is an updated review of published results of researches related to the use of DEs and discusses their potential use in large-scale, commercial storage and in small scale applications.

Correspondence between low-energy twin boundary density and thermal-plastic deformation parameters in nickel-based superalloy

To deeply understand and even describe the evolutions of the low-energy twin boundary density(BLDΣ3n)in a thermal-plastic deformation process,an improved twin density model as a function of average grain size and stored energy is developed.For Nimonic 80A superalloy,the model is solved based on the EBSD statistical results of grain size and BLDΣ3n in the specimens compressed at temperatures of 1273−1423 K and strain rates of 0.001−10 s−1.The corresponding relationships of BLDΣ3n with stored energy and grain size varying with temperature and strain rate are clarified by the superimposed contour plot maps.It is summarized that BLDΣ3n increases with increasing stored energy and decreasing grain size,and higher BLDΣ3n with finer grains corresponds with lower temperatures and higher strain rates.Such relationships are described by the improved twin density model,and the prediction tolerance of the solved model is limited in 2.8%.

Effectiveness of spinosad against seven major storedgrain insects on corn

In January 2005, the United States Environmental Protection Agency registered spinosad as a stored grain protectant. No referenced data on the efficacy of spinosad on corn in suppressing major stored-grain insects have been published. In this paper, we evaluated the efficacy of spinosad against seven major stored-grain insects on shelled corn in the laboratory. Insect species tested were the red flour beetle, Tribolium castaneum （Jacquelin duVal）; rusty grain beetle, Cryptolestesferrugineus （Stephens）; lesser grain borer, Rhyzopertha dominica （F.）; sawtoothed grain beetle, Oryzaephilus surinamensis （L.）; rice weevil, Sitophilus oryzae （L.）; maize weevil, Sitophilus zeamais （Motschulsky）; and Indian meal moth, Plodia interpunctella （Htibner）. Corn kernels were treated with spinosad at 0, 0. 1, 0.5, 1, and 2 active ingredient （a.i.） mg/kg for controlling the seven species. Beetle adults or P. interpunctella eggs were introduced into each container holding 100 g of untreated or insecticide-treated corn. The seven insect species survived well on the control treatment, produced 28 to 336 progeny, and caused significant kernel damage after 49 days. On spinosad-treated corn, adult mortality of C. ferrugineus, R. dominica, 0. surinamensis, S. oryzae, and S. zeamais was 〉 98% at 1 and 2 mg/kg after 12 days. Spinosad at≥ 0.5 mg/kg completely suppressed egg-to-larval survival after 21 days and egg-to-adult emergence of P. interpunctella after 49 days, whereas 16% T. castaneum adults survived at 1 mg/kg after 12 days. Spinosad at 1 or 2 mg/kg provided complete or near complete suppression of progeny production and kernel damage of all species after 49 days. Our results indicate that spinosad at the current labeled rate of 1 mg/kg is effective against the seven stored-grain insect pests on corn.

Point cloud simplification algorithm based on particle swarm optimization for online measurement of stored bulk grain

The simplification of 3D laser scanning point cloud is an important step of surface reconstruction and volume estimation of bulk grain in granary.This study presented an adaptive simplification algorithm based on particle swarm optimization(PSO).It introduced PSO into the average distance method,a conventional simplification method.The basic idea of this algorithm was to adaptively determine the optimal point reducing intervals of scanning lines according to original point cloud density by PSO.By using the 3D point cloud scanned from bulk grain surface in granary,the proposed algorithm was validated.Compared with the average distance method,the proposed algorithm obtained more evenly distributed point set,smaller reduction ratio(6.96%)and higher volume estimation accuracy(relative error was less than 3‰).The 3D laser scanner(GSLS003,Jilin University and SkyViTech Co.,Ltd.,Hangzhou,China)used in this study could scan the complete picture of the grain surface in a granary in one time,so the acquired point cloud data do not have to be jointed.For the good simplification performance and capability of updating the reducing interval at any moment,the proposed algorithm and the 3D laser scanner could be used to realize online real-time measurement of stored bulk grain volume in granary.

Classified denoising method for laser point cloud data of stored grain bulk surface based on discrete wavelet threshold

Surfaces of stored grain bulk are often reconstructed from organized point sets with noise by 3-D laser scanner in an online measuring system.As a result,denoising is an essential procedure in processing point cloud data for more accurate surface reconstruction and grain volume calculation.A classified denoising method was presented in this research for noise removal from point cloud data of the grain bulk surface.Based on the distribution characteristics of cloud point data,the noisy points were divided into three types:The first and second types of the noisy points were either sparse points or small point cloud data deviating and suspending from the main point cloud data,which could be deleted directly by a grid method;the third type of the noisy points was mixed with the main body of point cloud data,which were most difficult to distinguish.The point cloud data with those noisy points were projected into a horizontal plane.An image denoising method,discrete wavelet threshold(DWT)method,was applied to delete the third type of the noisy points.Three kinds of denoising methods including average filtering method,median filtering method and DWT method were applied respectively and compared for denoising the point cloud data.Experimental results show that the proposed method remains the most of the details and obtains the lowest average value of RMSE(Root Mean Square Error,0.219)as well as the lowest relative error of grain volume(0.086%)compared with the other two methods.Furthermore,the proposed denoising method could not only achieve the aim of removing noisy points,but also improve self-adaptive ability according to the characteristics of point cloud data of grain bulk surface.The results from this research also indicate that the proposed method is effective for denoising noisy points and provides more accurate data for calculating grain volume.

Influence of cold plasma treatment on insecticidal properties of wheat seeds against red flour beetles

For the long-term fortification of warehoused crops, the insecticidal impact of cold plasma treated wheat seeds against red flour beetles are studied.In this study, the gain weight loss,mortality and repellency tests of cold plasma treated seeds are investigated and statistical analysis is carried out by SPSS software.Cold plasma treatment is carried out at 800 V for 1 and 4 min.The results show that the minimum grain weight loss is observed in plasma treated seeds as compared to controlled seeds.It is also observed that the mortality rate is minimum in the controlled seed while maximum at 4 min plasma treatment.Similarly, the repellent effect has a very small variation as compared to the controlled seed for Tribolium Castaneum.Therefore, plasma treatment can be considered as a practical and effective method for seed protection against red floor beetles particularly during long-term storage by controlling the insecticidal effects.

PEST-SWOT模型下高校粮食工程专业课程思政“势”与“谋”

课程思政是将思想政治教育的理论知识、价值追求、精神理念融入到专业课程,潜移默化地对学生思想、行为产生影响,培养新时代“新农人”。通过构建PEST-SWOT复合式矩阵框架,厘清粮食工程专业课程思政在政治、经济、社会以及技术等方面的宏观环境(PEST),分析了粮食工程专业课程思政的优势、劣势、机会和威胁(SWOT)之“势”。基于此,构建新时代高校粮食工程专业课程思政PEST-SWOT复合式矩阵模型,提出优化课程思政之“谋”,培养新时代“新农人”,助力乡村振兴战略实施。

Laboratory Assessment of Susceptibility of Maize Varieties to Post-harvest Infestation By Sitophilus zeamais(Mostchulsky)(Coleoptera: Curculionidae)

A study was carried out to determine the relative susceptibility of six maize(Zea mays L.) varieties to maize weevil,Sitophilus zeamais Motschulsky(Coleoptera: Curculionidae). It was conducted at Department of Crop Protection Laboratory,University of Ilorin, Nigeria at ambient temperature of 28±2℃ and 68%±3% relative humidity. Samples of the varieties were infestedwith five pairs of S. zeamais adults in their respective containers arranged in completely randomized design with three replications.Data were collected on moisture content, adult mortality, adult emergence, grain loss and grain damage. The index of susceptibilityand means of damage parameters were used to determine susceptibility of the maize varieties. The results showed that 2008 SYNEE W DT STR was highly resistant and 2004 TZE-W POP STR C4 was moderately resistant, while 2004 TZE-Y-POP STR C4,99 TZEE-Y-STR, EV99 QPM and TZE-Y-POP DT STR QPM C_0S1 were susceptible. Under artificial infestation, the weevils hadsignificantly longer survival period in the susceptible varieties than those in the resistant genotype. It could be concluded that thesusceptible varieties already released to farmers should be protected from maize weevil damage.

Chemical Characterization and Insecticidal Activity of Ethyl Acetate and Dichloromethane Extracts of Drypetes gossweileri against Sitophilus zeamais, Tribolium castaneum and Rhyzopertha dominica

The use of botanical pesticides in pest management during storage against insects is often encouraged because synthetic insecticides produce undesired effects. Bark powder ofDrypetes gossweileri is used by farmers in pest management in Central Africa Republic. Hexane, dichloromethane, ethyl acetate and methanol were used for extraction bark powder by maceration. Insecticidal activity of the extracts was tested on Sitophilus zeamais, Tribolium castaneum and Rhy_-opertha dominica. The mortality rate, the number of surviving insects and the number of emerged insects were measured variables. Calculated mortality was obtained by applying Aboth＇s formula. The variables are submitted to variance analysis, model with four factors （plants, insects, doses and time） in Minitab 14. The results of analysis showed that the mortality rate has a very highly significant variation following extracts, doses, insects and time considered （P 〈 0.001）. Extracts with ethyl acetate and dichloromethane of D. gossweileri are effective against S. zeamais and R. dominica at high doses （1, 0.5, 0.250 g/10 mL of solvent）. These effective extracts were characterized by gas chromatography coupled with mass spectrometry. Molecules such as l-isothiocyanatomethyl, thiocyanic acid, phenylmethyl ester and other were characterizated. These results may consolidate traditional use olD. gossweileri in pest management.

昆虫对低氧环境的适应性机制研究进展

昆虫需要利用氧气进行有氧呼吸,产生能量,维持正常的生命活动。在储藏环境中,可以利用气调技术控制环境中氧气的占比,以达到防治害虫的目的。然而害虫低氧适应性的发展为这项技术的推广和应用带来挑战。文章围绕低氧对昆虫生长发育、生命活动、生理功能的影响,以及昆虫适应低氧环境的补偿性策略,包括内在调控机制,生物学特性调节,代谢网络重构,基因调控等方面进行了综述。以期为害虫低氧适应性的产生机制提供新的研究线索,为绿色储粮技术的研究及发展提供参考。

基于渐进式生成对抗网络的农作物病虫害细粒度分类

随着深度学习应用的普及和飞速发展,基于深度学习的图像识别方法广泛应用于农作物病虫害领域,但大部分的神经网络重视识别准确率的提高,却忽略神经网络庞大的参数计算量。为解决这个问题,基于渐进式生成对抗网络判别器模型和卷积注意力模块,提出一种改进的渐进式生成对抗网络判别器CPDM网络模型对农作物病虫害进行识别。通过对渐进式生成对抗网络判别器网络结构的调整,采用均衡学习率、像素级特征向量归一化和卷积注意力模块增强CPDM网络模型的特征提取能力,提高对真实图片的识别准确率。试验在PlantVillage数据集上进行,将该模型与VGG16、VGG19和ResNet18进行比较,得到TOP-1准确率分别为99.06%、96.50%、96.65%、98.86%,分别提高2.56%、2.41%、0.2%,且参数量仅为8.2 M。试验证明提出的CPDM网络模型满足在保证分类准确率的基础上,有效控制神经网络参数计算量的目的。