scholarly journals Semi-winged pests of cultural plants in Fergana, Uzbekistan

2021 ◽  
Vol 258 ◽  
pp. 04015
Author(s):  
Alevtina Kozhevnikova
Keyword(s):  
Practical Importance ◽  
Negative Influence ◽  
Plant Diseases ◽  
Individual Species ◽  
Agricultural Crops ◽  
Large Numbers ◽  
Herbivorous Species ◽  
Agricultural Plants ◽  
Developmental Phases ◽  
Plant Sap

In cultivated landscapes, the negative influence of herbivorous species of bugs on agricultural plants is especially affected. They are distinguished by a wide variety in species composition and in the number of individual species. Some of them can multiply in large numbers. Research is of theoretical and practical importance, since many species are pests of agricultural crops, some species carry viral plant diseases. The nature of the harm caused by various types of herbivorous bugs was studied, since bugs, when feeding on their piercing-sucking mouth apparatus, pierce plants and feed on plant sap. It has been established that the damage caused to plants by bedbugs affects the abscission of fruit elements and the timing of the developmental phases from egg to imago depends on temperature and humidity.

SPECIES, HOST RANGE, AND IDENTIFICATION KEY OF WHITEFLIES OF BOGOR AND SURROUNDING AREA

2019 ◽  
Vol 18 (2) ◽  
pp. 127
Author(s):  
Purnama Hidayat ◽  
Denny Bintoro ◽  
Lia Nurulalia ◽  
Muhammad Basri
Keyword(s):  
Host Range ◽  
Host Plants ◽  
Ornamental Plants ◽  
Identification Key ◽  
Agricultural Crops ◽  
Surrounding Area ◽  
Aleurodicus Dispersus ◽  
Agricultural Plants ◽  
Surrounding Areas ◽  
Forest Plants

Species identification, host range, and identification key of whiteflies of Bogor and surrounding area. Whitefly (Hemiptera: Aleyrodidae) is a group of insects that are small, white, soft-bodied, and easily found on various agricultural crops. Whitefly is a phytophagous insect; some species are important pests in agricultural crops that can cause direct damage and can become vectors of viral diseases. The last few years the damage caused by whitefly in Indonesia has increased. Unfortunately, information about their species and host plants in Indonesia, including in Bogor, is still limited. Kalshoven, in his book entitled Pest of Crops in Indonesia, published in the 1980s reported that there were 9 species of whitefly in Indonesia. The information on the book should be reconfirmed. Therefore, this study was conducted to determine whitefly species and its host plants in Bogor and its surroundings. Whiteflies is identified based on the ‘puparia’ (the last instar of the nymph) collected from various agricultural plants, ornamental plants, weeds, and forest plants. A total of 35 species of whiteflies were collected from 74 species and 29 families of plants. The collwcted whiteflies consist of four species belong to Subfamily Aleurodicinae and 31 species of Subfamily Aleyrodinae. The most often found whitefly species were Aleurodicus dispersus, A. dugesii, and Bemisia tabaci. A dichotomous identification key of whiteflies was completed based on morphological character of 35 collected species. The number of whitefly species in Bogor and surrounding areas were far exceeded the number of species reported previously by Kalshoven from all regions in Indonesia.

scholarly journals The use of machine learning methods in the diagnosis of diseases of crops

2020 ◽  
Vol 176 ◽  
pp. 04011
Author(s):  
Sergey Korchagin ◽  
Denis Serdechny ◽  
Roman Kim ◽  
Denis Terin ◽  
Mihail Bey
Keyword(s):  
Machine Learning ◽  
Plant Diseases ◽  
Agricultural Crops ◽  
Learning Methods ◽  
Agricultural Enterprises ◽  
Machine Learning Methods ◽  
Diagnosis And Prognosis ◽  
Software Modelling ◽  
The Cost ◽  
Recurrent Type

The approach to solving the problems of diagnosis and prognosis of diseases of agricultural crops using machine learning methods is described. To solve the problem of forecasting diseases of agricultural crops, it is proposed to use a genetic algorithm in the work. The analysis of the effectiveness of the proposed method is carried out depending on the convergence rate of such parameters as the mutation coefficient and population size. To solve the problem of diagnostics of agricultural crops, it is proposed to use a recurrent type of neural network. A software modelling complex has been developed that allows solving the problems of plant diseases diagnostics and making forecasts. The results obtained can reduce the costs of agricultural enterprises by reducing the cost of diagnosing agricultural diseases.

scholarly journals Pre-sowing treatment of winter wheat and spring barley seeds with the extremely high frequencies electromagnetic field

2021 ◽  
Vol 11 (1) ◽  
pp. 62-71
Author(s):  
V.V. Bezpal'ko ◽  
S.V. Stankevych ◽  
A.V. Matsyura
Keyword(s):  
Seed Treatment ◽  
Plant Protection ◽  
Spring Barley ◽  
Practical Importance ◽  
Negative Influence ◽  
Climatic Conditions ◽  
Cereal Crops ◽  
Positive Tendency ◽  
Yield Capacity ◽  
Sowing Seed

The increase in the yield capacity of cereal spike crops under the current change of the climatic conditions in Ukraine will have a positive tendency in the nearest future. However, sustainable grain production under sharp weather fluctuations is possible only with the agro-technological systems' improvement. The pre-sowing seed treatment with chemical synthesis pesticides remains the primary method in the agricultural industry today. However, pesticides inevitably have a negative influence on the ecosystem of any level. A more environmentally friendly seed treatment method under the intensive technology is the combination of microwave seed irradiation and seed incrustation with the plant growth regulators that increase the cereal crops' yield capacity up to 15–20 %. It is possible to reduce the negative influence of chemical measures on the quality of the cereal crops seeds by using for the seed treatment a mixture of a treatment agent with the preparations having the stimulating properties. The most promising among all physical methods of the pre-sowing seed treatment is the microwave technology, which suppresses the entire complex of the seed infection and can become an alternative to the chemical method of plant protection. The universal character and practical importance of MW technologies combined with the growth-regulating substances consist not only in the increase in the yield capacity of the field crops but also in reducing the technogenic load on the environment. The peculiarity of EMF of EHF application in agricultural production is the necessity to consider the crops' specific electro-physical, technological, and biological properties. High heterogeneity greatly influences the electromagnetic action energy and the final result.

scholarly journals Tachinid flies (Diptera: Tachinidae, Tachininae) – parasites of insect pests

2019 ◽  
Vol 49 (3) ◽  
pp. 47-54
Author(s):  
T. O. Markova ◽  
M. V. Маslov ◽  
N. V. Repsh ◽  
A. S. Sakhnov
Keyword(s):  
Larval Stage ◽  
Spodoptera Exigua ◽  
Insect Pests ◽  
Practical Importance ◽  
Fruit Trees ◽  
Agricultural Crops ◽  
Flower Buds ◽  
Trophic Relations ◽  
Trees And Shrubs ◽  
Lepidoptera Noctuidae

The study area included 127 species of parasites from the Tachininae subfamily (Diptera: Tachinidae) belonging to 53 genera and 14 tribes. The study was conducted in 2008-2018 in Primorsky Territory. Presently the list of tachinid fl ies with known hosts is made up of 52 species (40.9% of the total number). The Tachininae parasitize insect orders of Lepidoptera (86.6% of the total number of species with known data), Coleoptera (9.6%), Diptera (1.9%), Dermaptera (1.9%). Among representatives of Lepidoptera, species of Noctuidae (34.1%), Lymantriidae (10.7%) and Tortricidae (9.2%) families prevail. During the study, 28 host species of tachinids fl ies were revealed in the Lepidoptera order which are pests of agricultural crops, park, garden and forest vegetation. These insects, in the larval stage, feed on leaves, flower buds, flowers and fruits of trees and shrubs. They also damage fruit trees, park plants, sown seedlings, grain crops, basal parts and stems of vegetables. In the order of Coleoptera, Scarabaeidae family, 3 species are classifi ed as pests.It is for the fi rst time that the information was given on parasitizing of Тachina fera L. in caterpillars Spodoptera exigua Hbn. (Lepidoptera: Noctuidae), Parhamaxia discalis Mesn. in imago Holotrichia parallela Motsch. (Coleoptera: Scarabaeidae), Hamaxia incongrua Walk. in imago Gametis jucunda (Fald.) and Anomala luculenta Er. (Coleoptera: Scarabaeidae), Mikia tepens Walk. in caterpillars Lymantria dispar L. (Lepidoptera: Lymantriidae). The study of the fauna of Tachinidae and trophic relations in the larval stage is of great scientifi c and practical importance in the fi ght against insect pests of agriculture and forestry.

Development of technologies for growing agricultural crops acceptable in organic farming in the north-western region of Russia

2021 ◽  
Vol 1 ◽  
pp. 21-24
Author(s):  
S.A. Dobrokhotov ◽  
◽  
A.I. Anisimov
Keyword(s):  
Organic Farming ◽  
Crop Production ◽  
Plant Diseases ◽  
Western Region ◽  
Agricultural Crops ◽  
The North ◽  
Organic Products ◽  
Production Technologies ◽  
Organic Crop Production ◽  
North Western

The paper deals with the issues of growing the main agricultural crops (cereals, vegetables, potatoes) using organic crop production technologies. The effectiveness of preparations used to control pests and plant diseases is given. A method for calculating the sales price of organic products is proposed.

Image Pre-Processing and Paddy Pests Detection Using Tensorflow

2021 ◽  
pp. 131-139
Author(s):  
Rahul Sharma ◽  
Amar Singh
Keyword(s):  
Early Detection ◽  
Human Population ◽  
Deep Neural Network ◽  
Plant Diseases ◽  
Rapid Expansion ◽  
Agricultural Crops ◽  
Agriculture Sector ◽  
Indian Agriculture ◽  
Model Training ◽  
Deep Learning Model

Agriculture is one of the important sources of earning worldwide. With the rapid expansion of the human population and food security for all, the agriculture sector needs to be boosted to increase the yield. Agriculture is the prime source of livelihood in India for more than 50% of the total population. As per Indian agriculture and allied industries industry report, agriculture is one of the major contributors in gross value. Agricultural crops suffer heavy losses due to insect damage and plant diseases. Worldwide, out of the crop losses, major losses are caused by plant pests. In this chapter, various image pre-processing methods and the need of pre-preprocessing are discussed in detail. For image classification, TensorFlow deep neural network is presented. Deep learning model is used for automatic and early detection of paddy pests. Early detection of the pests will aid farmers in adopting necessary preventive measures. Multiple ways to reduce overfitting during model training are also suggested.

On the Efficiency of Lighting by LEDs in Visual Work

2018 ◽  
pp. 81-87 ◽  
Author(s):  
Svetlana A. Amelkina ◽  
Olga E. Zheleznikova ◽  
Lyudmila V. Sinitsyna
Keyword(s):  
Human Body ◽  
Practical Importance ◽  
Negative Influence ◽  
Visual Fatigue ◽  
Working Capacity ◽  
Functional Indices ◽  
Illumination Efficiency ◽  
Reversible Nature ◽  
Visual Organ

It is experimentally found that LEDs illumination does not cause a negative influence on visual organs and human body as a whole. It is shown that changes of visual organ functional indices for visual operations are within the correspondent boundaries of physiological fluctuations and have a reversible nature. Integral indices of LEDs illumination efficiency from visual working capacity and visual fatigue degree are estimated. A practical importance of the obtained results is shown.

Is my design better? A co-creation perspective for online fashion design

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hao Zhang ◽  
Zengguang Ma
Keyword(s):  
Sample Size ◽  
Practical Importance ◽  
Peer Feedback ◽  
Psychological Distance ◽  
Negative Influence ◽  
Two Dimensions ◽  
Mediation Effect ◽  
Survey Study ◽  
Mechanism Study ◽  
Content Type

PurposeValue co-creation is known to increase innovation, but it can backfire under certain conditions. The purpose of this study is to investigate co-creation activities for their effects on consumer perceptions of symbolic designs and to investigate the mediation effect of psychological distance and the moderation effect of peer feedback.Design/methodology/approachThree studies were designed by using a survey (Study 1) and two controlled laboratory experiments (Study 2 and 3). Study 1 had a sample size of 160 respondents and examined whether innovative ideas and behavior intensity had different impact on symbolic design. Study 2 had a sample size of 204 respondents and verified the interaction effect between innovativeness and intensity and to show that psychological distance is the underlying internal mechanism. Study 3 examined peer feedback as a critical moderator by using a sample of 235 participants.FindingsResults show that idea innovativeness positively influences perceptions of symbolic design, while behavior intensity has a negative influence. The studies verify that innovativeness interacts with intensity to affect perceptions of symbolic design. Psychological distance explains why it is difficult to co-create luxury goods. Peer feedback is revealed to be a new moderator.Originality/valueThis research uniquely develops an extensive theory-based conceptual model and highlights two dimensions of value co-creation that interact with product design. The article emphasizes the theoretical and practical importance of studying both direct and indirect moderating effects.

scholarly journals The Study of Cicadas in the Conditions of the Fergana Valley of Uzbekistan

2021 ◽  
Vol 04 (11) ◽  
Author(s):  
A. G. Kojevnikova ◽  
Keyword(s):  
Significant Role ◽  
Plant Protection ◽  
Practical Importance ◽  
Systematic Position ◽  
Position Distribution ◽  
Laodelphax Striatellus ◽  
Rational Use ◽  
Great Practical Importance ◽  
Mass Reproduction ◽  
Agricultural Plants

The article presents materials on the study of the cicadas Laodelphax striatellus Fall. and Muirodelphax aubei Perr.in the Fergana Valley, their morphological and biological characteristics, systematic position, distribution, harmfulness, food connections and peculiarities of their diagnosis. As I.D. Mityaev points out [1], the useful value of cicadas for humans is very insignificant. There is evidence that some peoples eat large singing cicadas, considering them medicinal, or keep cicadas in cages for the sake of their peculiar singing. It is proved that some species of cicadas, in places of their mass reproduction, play a significant role in the permeability of moisture and aeration of the soil, the underground work of their larvae. Larvae and imago of cicadas are a source of food for many animals and they play a certain role in biocenoses. Some species, due to their low abundance and low harmfulness, are not of great practical importance for humans. Most of the cicadas are pests of various agricultural plants [2, pp. 146-150]. As noted by D.A. Azimov, without deep knowledge of the fauna and development of the taxonomy of insects, as well as other groups of fauna and vegetation, it is impossible to solve further problems of protection and rational use of useful forms, as well as organization of plant protection [3, pp. 54-55]. Therefore, the study of cicadas and their diagnosis is not only theoretical, but also practical.

scholarly journals Engineering Plants to Improve Their Immune System

2021 ◽  
Vol 9 ◽  
Author(s):  
Meirav Leibman-Markus ◽  
Maya Bar
Keyword(s):  
Immune System ◽  
Plant Diseases ◽  
Agricultural Crops ◽  
Plant Immune System

Much like humans, plants suffer from all kinds of diseases. In our lab, we study the immune system of plants. Using a technology called CRISPR, which enables us to edit the DNA of different creatures, we made changes in the plant immune system, with the goal of strengthening it. We succeeded in strengthening the plant immune system, and produced plants that are more resistant to diseases. Producing plants with a more active immune system could help us deal with plant diseases and improve agricultural crops.

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