Using Deep Learning for Soybean Pest and Disease Classification in Farmland

To accurately identify soybean pests and diseases, in this paper, a kind of deep convolution network model was used to determine whether or not a soybean crop possessed pests and diseases. The proposed deep convolution network could learn the highdimensional feature representation of images by using their depth. An inception module was used to construct a neural network. In the inception module, multiscale convolution kernels were used to extract the distributed characteristics of soybean pests and diseases at different scales and to perform cascade fusion. The model then trained the SoftMax classifier in a uniformed framework. This realized the model of soybean pests and diseases so as to verify the effectiveness of this method. In this study, 800 images of soybean leaf images were taken as the experimental objects. Of these 800 images, 400 were selected for network training, and the remaining 400 images were used for the network test. Furthermore, the classical convolutional neural network was optimized. The accuracies before and after optimization were 96.25% and 95.81%, respectively, in terms of extracting image features. This type of research might be applied to achieve a degree of automation in agricultural field management.

Current research on soybean pest management in China

Pest is one of the important factors affecting soybean yield and quality. Until now, 404 species on soybean have been known based on literature review and a large scale survey. More than 20 key pests occur every year and are causing serious damage. In 3 different ecoregions(Northern ecoregion, Huang-Huai-Hai ecoregion and Central south ecoregion), pests occurrence and damage styles show a variety of regional characteristics. Soybean pests occurrence from north to south were shown as follow: from large pests to small pests, from chewing pests to sucking pests, from low reproductive rate and less generation pests to high reproductive rate and more generation pests. Soybean pest management is mainly based on resistant breeding, combining with monitoring, plant quarantine, cultural, biological, physical, mechanical and chemical controls in China. Although pesticides play an important role in practice, the absence of reasonable use has threatened sustainability of China's soybean production. Soybean integrated pest management is not the only strategy, and it still needs improvement and development, but it's the best alternative for pest control. It can be expected that integrated pest management will remain as the main strategy for soybean pest control in future. Further innovation of green prevention and control technology will also become a focus of future research in view of new pest problems brought about by crop restructuring, agricultural system change and global climate change. Integration of above technologies will reduce the harm of pests and production costs as well as improving soybean production capacity. In this review, research progress of Chinese soybean pest and its management was summarized and some suggestions were provided to adapt for soybean pest management under current situation.

Control Effects of Trapping Lamps with Different Wavelengths on Soybean Pests

[ Objective] The aim was to compare control effects of trapping lamps with different wavelengths on soybean pests. [ Method ] Three kinds of lamps with different wavelengths were used to conduct pest control test in soybean fields. [ Result] The trapping effects of three kinds of lamps with different wavelengths on soybean pests were significantly different. Among them, the trapping effect of No. 2 light with wavelength of 400 -460 nm was significantly better than the other two lamps; No. 1 light with wavelength of 330 -400 nm had no obvious difference in trapping effect with No. 3 light with wavelength of 450 -510 nm. [ Conclusion] The research result provided theoretical basis for popularized application of trapping lamp in production.

Occurrence and Control of Main Soybean Diseases and Insect Pests in Greater Mekong Sub-region

Soybean rust,soybean downy mildew,and soybean thrips,soybean pod borers,and soybean nocturnal moths are the world wide diseases and insect pests in soybean production,which pose a potential threat to soybean production in Great Mekong Sub-region（ GMS）,comprising Cambodia,Lao People＇s Democratic Republic,Myanmar,Thailand,Vietnam,and Yunnan province,the People＇s Republic of China. This paper summarized the host range,epidemiology,damage and control methods of these diseases and insect pests in GMS,with the aim to provide information basis for understanding and effective control of soybean diseases and insect pests in GMS.

A Brief Introduction of Main Diseases and Insect Pests in Soybean Production in the Global Top Five Soybean Producing Countries

The United States, Brazil, Argentina, India and China are the major soybean producing countries in the world. Nearly 90% of the world^s soybean production comes from these countries. The occurrence of diseases and insect pests often lead to the reduction of soybean yield, and brings varying degree losses to these countries. This article provides an overview of the impact and measures on soybean main diseases and insect pests in the top five major soybean producing countries over the world. It is concluded that the diseases affecting the soybean yield seriously include Phakopsorapachyrhizi, Heterodera glycines, Septoria glycines, Colletotrichum spp. and Macrophominaphaseolina; and the main insect pests include Anticarsia gemmatalis, Spodoptera litura, Nezara viridula and Frankliniella occidentalis, which will provide information for key prevention and control of soybean main diseases and insect pests in these countries.

大豆栽培及病虫害防控对产量和品质提升的影响

在农业生产中,大豆的产量和质量受多种因素影响。随着现代农业技术的进步,如何通过科学的栽培方法提高大豆的产量与品质,已成为提升农业经济效益的关键。传统的大豆栽培通常依赖自然条件,而现代栽培技术则更加注重科学化管理。在此背景下,本文将深入探讨大豆高产高质栽培技术和病虫害防控策略,旨在提高大豆的生产效率,促进农业生态系统的可持续发展。

大豆玉米带状复合种植病虫害绿色防控技术及提升策略

大豆玉米带状复合种植作为一种创新性种植技术,可以有效提高土地利用率,为大豆和玉米的高产稳产打下基础。要确保大豆玉米带状复合种植技术在生产中得到高效应用,需要统筹做好田间管理工作,尤其是病虫害防控。因地制宜地采用绿色防控技术,降低病虫害发生风险,从而为大豆和玉米的高产高质创造有利条件。在对大豆玉米带状复合种植技术的应用价值进行阐述的基础上,对病虫害绿色防控能力的提升提出了几点建议。

大豆种植与病虫害防治技术要点分析及未来展望

大豆是全球重要的粮食和油料作物,随着人口的增长,大豆种植和病虫害防治技术在提升大豆品质,增加作物产量,提高农作物多样性,优化农业生态系统等方面发挥出了重要作用。通过系统分析大豆种植技术和病虫害防治技术的应用要点,提出了一套综合性的应用方案,并对技术发展趋势进行了展望,以推动我国大豆产业的可持续发展。

湖南省大豆玉米带状复合种植模式及病虫草害综合防控技术

大豆作为我国重要的粮油兼用作物,在国家粮食安全中占有重要地位。但是,我国大豆种植面积有限,单作产量较低,常年依赖进口。因此,我国提出了大豆玉米带状复合种植模式。近年来,湖南省大力发展大豆玉米带状复合种植,围绕种植技术的田间试验、集成应用和示范推广开展了深入研究。本文从品种选择、行比配置、播种、田间管理、收获等方面总结了湖南省大豆玉米带状复合种植技术,并总结了病虫草害综合防控技术,分析了种植技术环节存在的问题,以期为该种植模式的推广应用提供参考。

大豆玉米带状复种病虫草害全程绿色防控技术

为提升大豆和玉米产能及质量,对带状复合种植模式下大豆玉米常见病虫害防控技术进行了说明,以帮助农民实现增产增效,稳定我国大豆玉米供应,以促进我国农业经济健康、可持续发展。

大豆主要病虫特征及防治技术

随着气候条件、种植模式、品种更新等因素变化,大豆病虫种类不断发生演变且发病频繁,防治难度增大,对大豆生产造成较大危害。文章对大豆生育期内主要病虫害特征,包括危害部位及时期、感病症状、病原物等进行总结,提出不同生育期病虫害防控重点及对策,为大豆种植过程中病虫害鉴别及病虫害防治提供理论支撑,助推大豆生产实现“扩面、增产、提质、绿色”目标。

大豆病虫草害化学防治减量技术研究

近年来,受国家政策及市场调控影响,大豆价格高位运行,农户种植热情高涨,而病虫草害是制约大豆产量的主要因素。富锦市大豆栽培中,大豆根腐病、大豆蚜虫、大豆食叶性害虫、大豆灰斑病、大豆霜霉病、大豆食心虫等病虫害,以及刺菜、红根苋菜、鸭趾草等抗性杂草多发,科学合理地使用化学农药是防治大豆病虫害的重中之重。从种子处理、开花结荚病害防治、大豆食心虫防除、封闭加茎叶两次用药除草,综合防治大豆病虫草害进行技术研究,达到了绿色、减量、高效,增产增收,保护环境目的。

大豆抗咀嚼式害虫的遗传改良研究进展

大豆在生长过程中遭受多种咀嚼式害虫的严重侵害,如斜纹夜蛾、棉铃虫等。现有的防治方法存在农药污染环境、干扰生态平衡以及抗药性增强等问题。培育种植抗虫品种是解决虫害问题的关键。本文阐述了大豆对咀嚼式害虫抗性研究的现状和进展,包括大豆害虫种类及大豆抗虫性研究、大豆抗咀嚼式害虫资源的研究与开发、大豆抗咀嚼式害虫QTL定位研究进展等方面。综合研究认为,关注野生大豆资源,寻找优异的大豆抗虫材料,发掘优良抗性基因,利用生物技术及大豆转育得到新资源,是提高大豆抗虫性、增加产量及品质、降低农业生产成本的经济环保且行之有效的途径。本文旨在为大豆抗虫育种提供理论依据和实践指导,为油料产业的可持续发展奠定基础。

我国转基因玉米大豆应用抗性治理策略

为有序推进我国生物育种产业,保障转基因玉米大豆产业化安全、可持续实施,需建立科学的抗性治理策略,延缓靶标害虫和杂草抗性产生。查阅大量国内外相关靶标害虫和杂草抗性进化研究的文献,总结国际转基因玉米大豆抗性治理的经验教训,并分析我国转基因抗虫棉的相关实践,立足我国当今靶标害虫与杂草实际情况,进行分析讨论。依据玉米种植区域特点及虫情发生规律进行区域划分,并确定各区域推荐的转基因抗虫玉米基因类型和配套庇护所策略,提出适合我国现阶段产业特点的转基因玉米大豆抗性治理策略。在靶标害虫抗性治理方面,应根据我国玉米主产区的靶标害虫发生及迁移扩散为害规律,遵循整体布局、源头治理的原则,在转化体研发、品种审定等环节加强虫源和种源控制;同时,建议因地制宜,采取“一区一类基因一策”的害虫抗性治理措施。在田间杂草抗性治理方面,建议配合轮换使用不同抗性机理的转化体和不同作用机理的除草剂。

凤阳县大豆病虫草害的绿色防控技术

在大豆生产过程中,病虫草害的绿色防控是实现当前凤阳县大豆增产、提高品质和质量安全的关键性措施之一。科学利用环境友好型防控技术措施能有效保护田间有益生物,最大限度地减少毒性大、残留期长的化学农药的使用量和使用次数,并将病虫危害造成的损失控制在经济允许范围内,尽可能减少生产成本,提高大豆生产效益,确保农民增产增收。该文介绍了凤阳县大豆病虫草害的绿色防控技术,包括农业防治、生物防治、物理防治、化学防治等,以供大豆生产者参考使用。

大豆害虫性信息素研究进展

利用昆虫性信息素诱杀农业害虫是一项重要且经济有效的绿色防控技术。近年来,一些大豆害虫的性信息素被相继鉴定和应用。本文从大豆害虫性信息素的化学组分及组分间的作用、性信息素的多态性、性信息素生态功能的多样性、性信息素与植物挥发物的协同与抑制作用、性信息素的合成途径和化学感受机制、田间应用技术6个方面综述了研究与应用进展,为今后更深入地开展研究提供参考。

山东大豆高产栽培及病虫害防治技术探索

大豆是常见的农作物之一,除了大豆原本的食用形态外,它还常以豆油、豆浆、酱油以及豆制品等形式出现。大豆作为富含优质植物蛋白质的农作物,经常食用不仅有利于人体生长发育,还可以预防一些常见的慢性疾病。中国作为大豆的原产地,至今已有五千年的栽培历史,虽然目前国内大豆产量相对较高,但我国仍需要通过进口才能满足对大豆的需求。而想要通过国内种植满足人们对大豆的需求,则需要通过提高大豆栽培技术和病虫害防治技术水平来增加大豆的产量和质量。以山东大豆为例,结合山东大豆的种植情况,探索了该地区的高产栽培技术和病虫害防治技术。

大豆玉米带状复合种植病虫害绿色防控技术及提升策略

大豆玉米带状复合种植技术能够有效提高作物产量与品质,但同时也面临一系列病虫害问题。基于此,针对大豆玉米带状复合种植模式下的病虫害问题,探讨绿色防控技术的应用,分析了农技防治、物理防治、生物防治和化学防治等有效方法,同时提出了建设种植示范基地、组建专业防控队伍和构建监测预警机制等策略,希望加强对农民的新技术培训和指导,促进生态化农业的可持续发展。

凤山县大豆玉米带状复合种植技术

大豆玉米带状复合种植模式下,要高度重视病虫害防控工作,结合病虫害发生趋势,制定科学防控技术措施,确保大豆玉米兼容协调发展,进而实现增产增收。文章以凤山县生产为例,对大豆玉米带状复合种植技术要点及病虫害防控措施展开了深入探析。

黑龙江省近年常见大豆虫害防治方法研究进展

近年来,随着黑龙江省大豆种植面积扩大,大豆虫害危害加重,制约黑龙江省大豆产业发展。提高虫害防控技术水平是提高大豆产量品质,保障大豆安全生产的重要措施。文章对黑龙江省近年常见大豆虫害防治方法进行综述,以期为黑龙江省大豆虫害防控提供依据,助力我国大豆产业振兴。