Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

Site‐specific management is crucial to managing Mikania micrantha

Increasingly, weeds have been taking on global distributions. With the proliferation of invasive weeds has come the challenge of managing these species over broad geographical regions, with diverse habitats and political jurisdictions. Here, we review the management of Mikania micrantha Kunth (Asteraceae; mile‐a‐minute) throughout its invaded range, extending through most of the Pacific islands and southern and south‐east Asia. Context matters when determining the best course of action for managing M. micrantha, as it has invaded a large variety of agricultural and natural systems. In Queensland, Australia and Florida, USA, M. micrantha has been targeted in relatively successful eradication campaigns, highlighting the importance of early detection and rapid response methods, while elsewhere in its invaded range, populations are either still increasing or showing limited signs of decline. An inter‐regional approach to research and management should incorporate successful management strategies employed throughout the invaded range including, but not limited to, chemical and cultural control practices, manual and mechanical control, classical biological control using the rust fungus Puccinia spegazzinii, plant–plant competition and integrated approaches utilising two or more control methods concurrently. Additional knowledge of M. micrantha genetics is required to determine if management approaches could be fine‐tuned for particular populations. Countries bordering the Mekong River formed a network in 2011 to co‐ordinate the management of invasive species such as M. micrantha. Expanding such a collaborative approach to other regions could further reduce populations of M. micrantha and limit its spread.     

国家植物博物馆旅游发展战略研究与初步构想

在研究博物馆旅游相关内涵的基础上,系统地阐述了博物馆和旅游的关系,认为博物馆旅游是未来的发展趋势。文中依托国家植物博物馆建设的基本情况,对国家植物博物馆发展旅游具备的政策机遇、游客基数、区位、行业地位、资源、特色等方面的优势及国内没有成熟的经验和成功的案例可借鉴、藏品艺术价值不高等劣势进行分析。提出建立合理的运维机制,处理好馆、库、园一体统筹的关系;按照国家5A级旅游景区标准,高起点、高规格建设;以人为本,强化深度体验;重视人才、科普和营销;与茨坝生物科技特色小镇融合发展,打造云南省“健康生活目的地”示范园区;整合资源,建立旅联体,打造科普文旅融合产业走廊等国家植物博物馆旅游发展的策略及建议。     

An acoustic based approach to evaluate the effect of different diet lengths on feeding behavior of Litopenaeus vannamei

Studying shrimp feeding behavior is challenging and, traditionally, studies have been using direct visual observation or video recordings with image analysis under laboratory conditions. Passive acoustics monitoring (PAM) is a non-invasive approach to study feeding behavior of penaeids, as their mandibles emit clicking sounds during feed ingestion. Considering the wide variation available in shrimp diet lengths, our knowledge is still limited about their effects on feeding behavior. The present study was designed to use acoustics to evaluate the feeding behavior of Litopenaeus vannamei fed different diet lengths. A commercial pelleted diet with similar diameter (2.4 mm) and three different lengths was used as treatments “small” (2.35 mm), “medium” (4.26 mm) and “large” (8.42 mm). Three separate trials were performed with fastened shrimp (20 g), using omnidirectional hydrophones and external audio recorders. Our approach started with the characterization of the click acoustic parameters produced by three shrimps when fed the different diet lengths in anechoic chambers (15 L). We then analyze the number of clicks produced per pellet and duration of the clicking activity when shrimp fed a single pellet in individual tanks (1 L). Finally, the acoustic energy of feeding activity and feed consumption, as well as theirs relationship to predict feed intake was evaluated in aquaria (70 L) with five shrimps. The acoustic parameters of isolated clicks were not affected by the different diet lengths, however, doubling the length of the pellet resulted in doubling the number of clicks emitted during feeding activity. The duration of clicking activity per pellet indicated that small pellets are consumed 2.9 and 4.7 times faster than medium and large pellets, respectively. Furthermore, feeding acoustic energy of small pellets decreased rapidly after feed offer, as their faster consumption probably contributed to shrimps achieved satiety earlier than larger diets. Feed consumption was similar among diets length, but significantly correlated with the feeding acoustic energy emitted by L. vannamei, which is a breakthrough in feeding behavioral research. The results highlight the potential and possibilities of an acoustic approach to estimate feed consumption, as well as an alternative to traditional methods in feeding behavioral studies to improve efficiency of feed management.     

从财务角度谈食用菌生产管理

为实现食用菌产业可持续发展,分析食用菌企业财务管理与成本控制的问题,并通过对食用菌种植成本的控制,达到企业资金的投入获得保障收益的稳定。从食用菌企业内部财务问题与生产投入着手,分析现阶段存在的问题及提出解决建议,确保食用菌企业内部利益上升的同时,提升企业整体实力及市场竞争力,确保食用菌产业健康稳步的发展。     

国内土壤环境污染防治进程及展望

综述以中国2005—2019年土壤污染防治进程的3个阶段为主线,总结土壤污染防治发展过程中管理模式、治理体系、管控要求、机构改革、立法支持等5个方面重要转变,分析国家和地方土壤环境保护标准、法律法规政策和主要土壤污染治理成效。针对国内土壤污染防治未来发展趋势,从完善土壤环境标准及管理制度、建设监测及预警大数据平台、加强土壤生态环境国际合作、持续推进土壤修复技术攻关和先行区经验推广等方面提出建议,以期为生态环境高水平保护和经济社会高质量发展提供参考。     

二氧化碳浓度升高对茶树生理代谢的影响及应对技术

大气中的二氧化碳(CO2)浓度升高是工业革命以来全球范围内最重要的生态变化之一,将直接影响植物的生长发育和代谢过程。尽管CO2浓度升高对粮食作物的影响已经得到了广泛的研究,但其对茶树等重要经济作物的影响却很少受到关注。本文回顾和总结了CO2浓度升高对茶树的初级代谢(包括光合作用、呼吸作用和碳氮代谢)和次级代谢的影响,并探讨了CO2浓度升高环境下茶叶生产过程中的应对技术,旨在为CO2浓度升高背景下茶树优质高产栽培提供一定的理论基础和科学依据。     

不同控释氮肥运筹对粳稻养分吸收与氮素利用的影响

以绥粳18为供试材料,通过盆栽试验,在一次性施入控释氮肥免追肥条件下,设置不同施肥量(高、中、低、无)和施肥深度(5 cm、10 cm),探讨不同氮肥施用方式对粳稻养分吸收和氮素利用的影响。结果表明,在不同氮肥运筹条件下,粳稻各生育期氮、磷、钾的吸收、转运均存在明显的协同效应,施肥深度5 cm组,随着氮肥施用量的增加,粳稻的氮吸收总量增加,同时可促进磷的吸收,但影响幅度较小。钾变化与氮、磷变化有所不同。施肥深度10cm组,施高量氮肥抑制了粳稻对磷的吸收、减少了对氮的吸收,但有利于提高氮素利用率,对钾的吸收无显著影响。施用树脂包膜控释肥,纯氮用量为153 kg/hm^2、施肥深度5 cm、一次性施肥免追肥可获得最优水稻氮素利用效率并显著提高磷钾肥利用效率。     

蛋鸡产蛋期的饲养管理措施

为进一步降低蛋鸡养殖成本、提高养殖效益,天祝县"鸡大肠杆菌病的综合防制研究项目"课题组,针对大肠杆菌综合防控中加强饲养管理环节,以蛋鸡产蛋期目标管理为导向,从转运前准备,到转群后消毒、设备检查、称重、光照控制、免疫、人员管理、饲料控制等各方面,制定了蛋鸡产蛋期饲养管理措施,不仅避免鸡群发生大肠杆菌等疾病,而且可以提高蛋鸡产蛋率,增加蛋鸡养殖效益。