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The rapid, recent development of image recognition technologies has led to the widespread use of convolutional neural networks (CNNs) in automated image classification and in the recognition of plant diseases. Aims: The aim of the present study was to develop a deep CNNs to identify tea plant disease types from leaf images. Materials: A CNNs model named LeafNet was developed with different sized feature extractor filters that automatically extract the features of tea plant diseases from images.doi:10.3390/sym11030343 fatcat:jdanlpftijaudle4daj4inhqdq
more »... DSIFT (dense scale-invariant feature transform) features are also extracted and used to construct a bag of visual words (BOVW) model that is then used to classify diseases via support vector machine(SVM) and multi-layer perceptron(MLP) classifiers. The performance of the three classifiers in disease recognition were then individually evaluated. Results: The LeafNet algorithm identified tea leaf diseases most accurately, with an average classification accuracy of 90.16%, while that of the SVM algorithm was 60.62% and that of the MLP algorithm was 70.77%. Conclusions: The LeafNet was clearly superior in the recognition of tea leaf diseases compared to the MLP and SVM algorithms. Consequently, the LeafNet can be used in future applications to improve the efficiency and accuracy of disease diagnoses in tea plants.
Due to the benefits of convolutional neural networks (CNNs) in image classification, they have been extensively used in the computerized classification and focus of crop pests. The intention of the current find out about is to advance a deep convolutional neural network to mechanically identify 14 species of tea pests that possess symmetry properties. (1) As there are not enough tea pests images in the network to train the deep convolutional neural network, we proposes to classify tea pestsdoi:10.3390/sym13112140 fatcat:n3ag6lom6fgnjje4gy4eovgki4
more »... es by fine-tuning the VGGNET-16 deep convolutional neural network. (2) Through comparison with traditional machine learning algorithms Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP), the performance of our method is evaluated (3) The three methods can identify tea tree pests well: the proposed convolutional neural network classification has accuracy up to 97.75%, while MLP and SVM have accuracies of 76.07% and 68.81%, respectively. Our proposed method performs the best of the assessed recognition algorithms. The experimental results also show that the fine-tuning method is a very powerful and efficient tool for small datasets in practical problems.
Botrytis cinerea is the pathogen of gray mold disease affecting a wide range of plant hosts, with consequential economic losses worldwide. The increased frequency of fungicide resistance of the pathogen challenges its disease management, and thus the development of alternative control strategies are urgently required. In this study, we showed excellent synergistic interactions between resveratrol and pyrimethanil. Significant synergistic values were recorded by the two-drug combination on thedoi:10.3390/molecules23061455 pmid:29914082 fatcat:pv2vkafn4zbsnkkftrpo37igk4
more »... ppression of mycelial growth and conidia germination of B. cinerea. The combination of resveratrol and pyrimethanil caused malformation of mycelia. Moreover, the inoculation assay was conducted on table grape and consistent synergistic suppression of the two-drug combination was found in vivo. Our findings first revealed that the combination of resveratrol and pyrimethanil has synergistic effects against resistant B. cinerea and support the potential use of resveratrol as a promising adjuvant on the control of gray mold. Molecules 2018, 23, 1455 2 of 12 antiviral activities  as well as growth modulatory effects on various organisms . Moreover, resveratrol displays significant antifungal effects toward several plant pathogens [22-24], and our previous study indicated the excellent efficacy of resveratrol on the control of gray mold of table grape . Various pharmacological and biological properties of resveratrol have made it an attractive candidate for the plant disease control. Combination therapy of two or more antibiotics has emerged as an attempt to prevent or delay the emergence of resistance, enhance the activity of antibiotics and reduce the application amounts of fungicides [26, 27] . Plant phenolics, as natural secondary metabolites, have been reported to enhance the activity of classical antibiotics and represent promising adjuvants of antibacterial and antifungal drugs    . To our knowledge, however, no studies have been conducted on the synergistic effects of phenolic compounds in combination with fungicides against B. cinerea. In this study, the antifungal activity of selected phenolic resveratrol alone and in combination with conventional fungicide pyrimethanil against B. cinerea was evaluated by microdilution method. Additionally, their synergistic effects on mycelial growth and conidia germination of B. cinerea in vitro, and the suppression of table grape gray mold disease were also explored.
IFIP Advances in Information and Communication Technology
Ningning Ge, Zhiyuan Zang, Lingwang Gao, Qiang Shi, Jie Li, Chunlin Xing, Zuorui Shen The administrator of the system is able to view the efficiency of broadcasting of the early warnings through the ... Gao, Qiang Shi, Jie Li, Chunlin Xing, Zuorui Shen agricultural technology in rural regions, and it can solve the problem of agriculture information service "last kilometer" in China. ...doi:10.1007/978-3-642-12220-0_50 fatcat:zohaihd5gzc3xh3rzw43jaqcrm
IFIP Advances in Information and Communication Technology
One of the effective methods to prevent the excessive extending of alien invasive species is to really master their epidemic trends and to take appropriate measures to control them. So, the information management system for monitoring alien invasive species based on the integrated technology was developed to provide the information services for the governments, experts and farmers. The main modules of the system are the sub-system of investigation data management and the sub-system of real-timedoi:10.1007/978-3-642-18333-1_72 fatcat:w2yw4voyqnhdfngdxdf5m4thou
more »... epidemic reporting in new extending area. In the investigation data management sub-system, the dynamic data of the invasive species in invaded areas can be input into the system. And in the sub-system of real-time epidemic reporting in new extending area, the epidemic information can be reported in E-mail, telephone-voice, short message, voice mail, videoconference or other format with users' telephone, cell phone, personal computer, and personal digital assistant(PDA) based on the integrated technology. The system built the information exchanging bridges among the governments, experts and farmers, letting them to make more effective decisions.
Studies were designed to examine the effects of host plants (apricot, Prunus armeniaca L.; plum, Prunus salicina L.; peach, Prunus persica L.; jujube, Zizyphus jujuba Will.; apple, Malus domestica Mill.; and pear, Pyrus sorotina Will) on the development and life table parameters of the peach fruit moth, Carposina sasakii Matsumura (Lepidoptera: Carposinidae) under laboratory conditions. Peach fruit moth developed faster (12.48 d) and had the highest preimaginal survival rate (50.54%) on plumdoi:10.1603/en11244 pmid:22507008 fatcat:twayb477rnfhrixxu7sr562uoa
more »... pared with the other host plants. Adult longevity was signiÞcantly longer on jujube for both female and male moths. Adult females from larvae reared on jujube and peach laid signiÞcantly greater numbers of eggs (214.50 and 197.94 eggs per female, respectively) compared with those reared on the other four host plants. Life-table parameters were calculated for each host plant and compared by jackknife procedures. The intrinsic rate of natural increase (r m ) was signiÞcantly greatest on plum (0.1294 eggs per female per d), followed by jujube and apricot (0.1201 and 0.1128 eggs per female per d), respectively. Implications of the various measures of population performance are discussed.
Id. ( quoting Kong Lingwang, supra note 63, at 2). 68. Lingyun Gao, supra note 12, at 216; Zhenmin Wang, supra note 61, at 1205. 69. ... Lingyun Gao, supra note 12, at 217 (quoting Kong Lingwang, supra note 63, at 3). . at 251. 79.Lingyun Gao, supra note 12, at 218; Weifang He, supra note 57, at 146-47.80.Zeng Xianyi, supra note 59, at ...doi:10.5070/p8281022223 fatcat:aproke4p65blzhgmxgiucfqrou
These include the "Jian dawang bo han" 柬大王泊 旱, "Zhaowang yu Gong Zhisui" 昭王與龔之脽, "Zhuangwang ji cheng" 莊王既成, "Shengong chen Lingwang" 申公臣靈王, "Pingwang wen Chen Shou" 平王問鄭壽, "Pingwang yu Wang Zimu" 平王與王子 ... Guo Xiliang 郭錫良, ed., Gu Hanyu yufa lunji 古漢語語法論集 (Beijing: Yuwen, ), -. previous work on the covenants from Houma 侯馬 and introduces an additional layer of meaning to the "Zi yi" and the "Yin gao ...doi:10.1017/eac.2016.12 fatcat:l2bw3ddl7bc3rgivacjl5cihfu
,69 Han Qu and Wei Ji led an army and laid siege to Wuyang, to repay the incursion of Gao (of 398 BCE).70 The Lord of Luyang led an army to help Wuyang, and fought the Jin army below the Wuyang walls ... Shangbo zhujian Zhao wang yu Gongzhi Shui he Jianda wang po han du houji" 上博竹書《昭王與龔之脽》和《柬大王泊旱》讀後記, http://www. jianbo.org/admin3/2005/chenjian002.htm. 2 Ebine Ryosuke 海老根量介, "Shangbo jian Shengong chen Lingwang ...doi:10.1017/jch.2017.17 fatcat:lznondw4avep5eyvbomtcmiku4