WEATHER VARIABILITY, AGRICULTURAL PRODUCTIVITY, AND FARMER SUICIDES IN INDIA

2021 ◽  
pp. 2150005
Author(s):  
SONAL BARVE ◽  
K. S. KAVI KUMAR ◽  
BRINDA VISWANATHAN
Keyword(s):  
Control Function ◽  
Agricultural Productivity ◽  
Price Volatility ◽  
Climatic Conditions ◽  
Liquidity Constraint ◽  
Policy Responses ◽  
Adverse Weather ◽  
Idiosyncratic Shocks ◽  
Farmer Suicides ◽  
And Control

Globalization, commercialization, modernization, erratic climatic conditions, individual expectations, contagion, and government policies are some of the reasons attributed to farmers’ suicides. This study hypothesizes that farmer suicides in India are primarily linked to loss in agricultural productivity which in turn is affected by adverse weather and low penetration of irrigation networks. Using panel data of 16 major states in India, from 1996 to 2015 and Control Function (CF) approach, the study shows that keeping all other factors fixed, a one degree rise in temperature results in 4.8% higher farmer suicides through a 3.6% decline in agricultural productivity. Further, the study highlights the significant role played by the contagion factors influencing farmer suicides. The study argues for policy responses that address covariate shocks arising from weather vagaries, price volatility, and liquidity constraint as well as idiosyncratic shocks arising from farmer-specific characteristics.

A POWER CONSUMPTION ACTIVITY BASED HETEROGENEOUS SOA FRAMEWORK FOR CONTEXT-AWARE HOME SERVICES

2011 ◽  
Vol 20 (07) ◽  
pp. 1211-1230 ◽  
Author(s):  
HYUN SANG CHO ◽  
TAKEKAZU KATO ◽  
TATSUYA YAMAZAKI ◽  
MINSOO HAHN
Keyword(s):  
Web Services ◽  
Power Consumption ◽  
Service Oriented Architecture ◽  
Control Function ◽  
Home Network ◽  
Network System ◽  
Context Aware ◽  
Flexible Architecture ◽  
And Control ◽  
Monitor And Control

The home network is one of the emerging areas from the last century. However, the growth of the home network market is stationary at present. This paper describes the limitations of the home network system and the requirements for overcoming the current limitations. Also described is a new home network service system known as COWS and its easy installation and scalable operation. COWS consists of power consumption monitor and control devices along with a service server that is a complementary combination of Open Service Gateway initiative (OSGi) and web services. A home network system has a dynamic, heterogeneous, distributed, and scalable topology. Service Oriented Architecture (SOA) has been proposed as a solution that satisfies the requirement of a home network, and OSGi and web services are two successful SOA-based frameworks. An included service server has a flexible architecture that consists of a core and extendable service packages. A power consumption monitor and control function provides useful context information for activity-based context-aware services and optimizes the power consumption. The system can be installed easily into existing and new houses to solve the current barrier of the popularization of home network services.

scholarly journals INVERTEBRATE SPECIES COMPOSITION (Invertebrata) PESTS OF AGROCENOSES OF WHITE CLOVER (Trifolium repens L.) AND THE RELEVANCE OF PROTECTIVE MEASURES

2021 ◽  
Vol 2021 (2) ◽  
pp. 57-80
Author(s):  
Vladimir Zolotarev
Keyword(s):  
Species Composition ◽  
White Clover ◽  
Climatic Conditions ◽  
Agricultural Landscapes ◽  
Economic Losses ◽  
Monitoring And Control ◽  
Protective Measures ◽  
Invertebrate Animal ◽  
Seed Crops ◽  
And Control

The area of natural growth and the scale of economic use of white clover among perennial legumes are spatially one of the most global. Due to the constant presence of wild white clover in many natural phyto-cenoses of most agricultural landscapes of different geographical zones, a certain complex of phytophages has evolved from various classes of invertebrate animal organisms that feed on various parts of this plant and reproduce on it. With the introduction of white clover into the culture and the spread of production crops of this plant over large areas, more favorable conditions are created for uncontrolled mass re-production of pests, which can cause already economically and economically significant crop losses. White clover is affected by multi-eating and specialized pests, the damage from which is determined by their biological characteristics and climatic conditions. The high population of white clover crops with a complex of herbivorous invertebrates implies constant monitoring and control of the species composition of the harmful fauna of white clover crops in order to organize, if necessary, protective measures against them. This issue is especially relevant for seed crops. The main pests of seed stands are considered to be weevils of the genera Apion Herbs., Phytonomus Herbs., Sitona Germar., Hypera Germar., which can re-duce seed yield by 50% or more. To reduce the economic losses of the crop on white clover, an integrated protection system should be implemented using chemical, biological and agrotechnical pest control meas-ures based on taking into account their economic harmfulness thresholds. One of the important directions of increasing the efficiency of the production use of white clover is the development of varieties of this crop that are resistant to damage by pathogenic organisms and pests.

scholarly journals Electrochemically activated solutions in beekeeping

2019 ◽  
pp. 28-34
Author(s):  
O. Musienko ◽  
O. Kysterna ◽  
D. Demyanenko
Keyword(s):  
Infectious Diseases ◽  
Sodium Hypochlorite ◽  
Weather Conditions ◽  
Active Sodium ◽  
Ascosphaera Apis ◽  
Adverse Weather Conditions ◽  
Adverse Weather ◽  
Epizootic Process ◽  
And Control ◽  
Test Objects

The article studies in detail the disease of the mixed form of infectious diseases of honey bee brood. The characteristics of pathogens, features of diagnostics and control of this disease of honey bees are indicated. When conducting epizootic monitoring of bee diseases encountered in surveyed apiaries, it was found that a large percentage of mycosis lesions is associated with the weakening of bee families resulting from adverse weather conditions and insufficient feed base (50-68.3 %). It was further complicated by the process of varrosy invasion, which occurred in all surveyed apiaries with an invasion intensity of more than 4%. In studying the effect of weather conditions on the epizootic process, a peculiarity of the course of infectious breeding diseases in the bee family was established. It was characterized by the onset of symptoms of ascospherosis (solid chalky pieces in the cell and at the bottom of the hive) during periods of adverse weather (cold, prolonged rain). Symptoms of ascospherosis appeared not only in healthy families but also in families undergoing treatment. During the laboratory examination of dead larvae, cultures of different pathogens were isolated. A study of the contamination of cellular honey, which was selected from sick and conditionally healthy bee families, indicated that Ascosphaera apis culture was more commonly isolated and 100% contaminated. We also calculated the epizootic index of infectious diseases of bees that were found on the apiaries surveyed. Ascospherosis was found to be the longest recorded in comparison with other infectious diseases and the epizootic index was accordingly higher. And the development of European foulbroods, other types of rot and aspergillosis occurred against the background of bee ascospherosis. In a study of intestinal toxic effects of active sodium hypochlorite at concentrations of 0.7%, 0.5% and 0.25% a.d., it was found that the drug did not cause bee death within 72 hours after feeding in any group of bees. Active sodium hypochlorite effectively decontaminates test objects at a concentration of 2.5 g / l for two hours. When using cells from sick families, the concentration of 5.0 g / l was effective.

Modelling and control of greenhouse system using neural networks

2016 ◽  
Vol 40 (3) ◽  
pp. 918-929 ◽  
Author(s):  
A Manonmani ◽  
T Thyagarajan ◽  
M Elango ◽  
S Sutha
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Moving Average ◽  
Growth Conditions ◽  
Operating Conditions ◽  
Adverse Weather ◽  
Control Schemes ◽  
Non Linear ◽  
Auto Regressive ◽  
And Control

A greenhouse system (GHS) is a closed structure that facilitates modified growth conditions to crops and provides protection from pests, diseases and adverse weather. However, a GHS exhibits non-linearity due to the interaction between the biological subsystem and the physical subsystem. Non-linear systems are difficult to control, particularly when their characteristics change with time. These systems are best handled with methods of computation intelligence, such as artificial neural networks (ANNs) and fuzzy systems. In the present work, the approximation capability of a neural network is used to model and control sufficient growth conditions of a GHS. An optimal neural network-based non-linear auto regressive with exogenous input (NARX) time series model is developed for a GHS. Based on the NARX model, two intelligent control schemes, namely a neural predictive controller (NPC) and non-linear auto regressive moving average (NARMA-L2) controller are proposed to achieve the desired growth conditions such as humidity and temperature for a better yield. Finally, closed-loop performances of the above two control schemes for servo and regulatory operations are analysed for various operating conditions using performance indices.

Agrobiological assessment of adaptive plum varieties in the conditions of the Orenburg Urals

2021 ◽  
Vol 67 ◽  
pp. 50-59
Author(s):  
V. R. Bashirova ◽  
E. M. Feschenko
Keyword(s):  
Ascorbic Acid ◽  
Water Regime ◽  
Ascorbic Acid Content ◽  
Climatic Conditions ◽  
Productivity Index ◽  
Winter Period ◽  
Total Acidity ◽  
Adverse Weather ◽  
Plum Varieties ◽  
Horticultural Research

The article presents data of agrobiological evaluation (2018-2021) of plum collection samples of Orenburg branch of Federal Horticultural Research Center for Breeding, Agrotechnology and Nursery. The research was aimed at identifying varieties and forms with the best characteristics of winter hardiness, drought resistance, productivity. In the Orenburg Urals, breeding development measures aimed at increasing the adaptability and productivity of plum plantations are appropriate. According to the results of a comprehensive assessment of productivity and adaptability, promising plum varieties have been identified. The best adaptability to adverse weather and climatic conditions of the winter period was characteristic of plum varieties Kuyashskaya and Vega. According to the weight of the fruit, Antonina and Kuyashskaya varieties (24,26 g and 23,19 g) stood out as promising plum varieties. The highest productivity index was found in the plum varieties Svetlana (12,46 kg) and Nadezhda (11,48 kg), the yield of these varieties was 5 and 5,4 t/ha, respectively. The Khabarovsk early and Svetlana varieties were characterized by the greatest accumulation of dry soluble substances –17,93 and 16,72 %. The highest total acidity (1,78 %) and the ascorbic acid content (9,46 mg%) were marked in the Svetlana variety. Characteristics of the water regime were the best in forms 12-7, 11-10 and varieties Antonina, Kuyashskaya. The identified adaptive plum varieties can be recommended for the expansion of the zoned assortment on the territory of the Orenburg Urals.

ROUTING IMPLEMENTATION BASED-ON SOFTWARE DEFINED NETWORK USING RYU CONTROLLER AND OPENVSWITCH

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Yuli Sun Hariyani ◽  
Indrarini Dyah Irawati ◽  
Danu Dwi S. ◽  
Mohammad Nuruzzamanirridha
Keyword(s):  
Control Function ◽  
Raspberry Pi ◽  
Small Scale ◽  
Software Defined Network ◽  
Standard Protocol ◽  
Open Flow ◽  
Control Functions ◽  
Forward Function ◽  
And Control ◽  
Sdn Controller

Open Flow is a standard protocol for differentiating forward function and control functions to facilitate the management of big network of SDN. The research have been carried out before using the emulator SDN Mininet. However Mininet has many shortcomings, such as the performance of which is less than the maximum due to simulation. Then some researchers also use the Net-FPGA as device. This device is less suitable for small scale because the prices are quite expensive and programming is quite complicated. In this study, SDN implementation carried out using OpenvSwitch as forwarding function mounted on TP-Link that has modificated using openwrt as firmware and Raspberry Pi with Ryu SDN Controller as control functions. The result shows that routing static can be implemented on SDN Network which use Raspberry Pi with Ryu Controller as control function with average bandwith 536.0909 Mbits/sec and average uptime network is 10.45 second.

Detection of a global aquatic invasive amphibian, Xenopus laevis, using environmental DNA

2016 ◽  
Vol 37 (1) ◽  
pp. 131-136 ◽  
Author(s):  
Jean Secondi ◽  
Tony Dejean ◽  
Alice Valentini ◽  
Benjamin Audebaud ◽  
Claude Miaud
Keyword(s):  
Invasive Species ◽  
Xenopus Laevis ◽  
Dna Amplification ◽  
Control Program ◽  
Environmental Dna ◽  
Climatic Conditions ◽  
Low Density ◽  
African Species ◽  
A Site ◽  
And Control

Detection is crucial in the study and control of invasive species but it may be limited by methodological issues. In amphibians, classical survey techniques exhibit variable detection probability depending on species and are often constrained by climatic conditions often requiring several site visits. Furthermore, detection may be reduced at low density because probability capture (passive traps), or activity (acoustic surveys) drop. Such limits may impair the study of invasive species because low density is typical of the onset of colonisation on a site. In the last few years, environmental DNA (eDNA) methods have proved their ability to detect the presence of aquatic species. We developed here an eDNA method to detectXenopus laevisin ponds. This austral African species is now present worldwide because of its use in biology and as a pet. Populations have settled and expanded on several continents so that it is now considered as one of the major invasive amphibians in the World. We detected the presence ofX. laevisat density as low as 1 ind/100 m2and found a positive relationship between density in ponds and rate of DNA amplification. Results show that eDNA can be successfully applied to survey invasive populations ofX. laeviseven at low density in order to confirm suspected cases of introduction, delimit the expansion of a colonized range, or monitor the efficiency of a control program.

scholarly journals Autonomic Nervous System Is Related to Inhibitory and Control Function Through Functional Inter-Region Connectivities of OFC in Major Depression

2020 ◽  
Vol Volume 16 ◽  
pp. 235-247 ◽  
Author(s):  
Hongaling Zhou ◽  
Lingling Hua ◽  
Haiteng Jiang ◽  
Zongpeng Dai ◽  
yinglin han ◽  
...  
Keyword(s):  
Nervous System ◽  
Autonomic Nervous System ◽  
Major Depression ◽  
Control Function ◽  
Autonomic Nervous ◽  
And Control

scholarly journals Study of air movement and temperature distribution in a greenhouse used as a dryer

2020 ◽  
Vol 307 ◽  
pp. 01051
Author(s):  
Soumaïla TIGAMPO ◽  
Vincent SAMBOU ◽  
Younouss DIEYE ◽  
Pape Moussa TOURE ◽  
Séckou BODIAN
Keyword(s):  
Load Capacity ◽  
Three Dimensional ◽  
Climatic Conditions ◽  
Load Model ◽  
Wind Speeds ◽  
Greenhouse Climate ◽  
Air Temperatures ◽  
Computer Fluid Dynamics ◽  
Materials Used ◽  
And Control

Sun drying is the oldest way to preserve but also to valorize and store surplus agricultural production. Nowadays, several types of dryers have been developed, but the solar greenhouse dryer is an ideal solution in our tropical countries because of its implicit and higher load capacity. The greenhouse climate depends on several factors, namely the outdoor climatic conditions (air temperature, wind speed, radiation, etc.) but also on the type of materials used to cover the greenhouse. The study was carried out on a parabolic greenhouse covered by a polyethylene film with a concrete base (absorber) which in turn is placed on the ground and will be tested under the climatic conditions of Dakar, Senegal. It is in this context of sustainable development that this work is carried out. The goal is to determine the distribution of temperatures and wind speeds in the greenhouse. The simulation was carried out using the three-dimensional computer fluid dynamics software (CFD). The turbulence method (k-ε) was used and to solve the radiation transfer equation (RTE) we introduce the discrete ordered method DO. We also add the “Solar Load Model” which gives the position of the sun and its radiations in relation to the layout of the greenhouse according to the date and time of the simulation. The simulation is carried out in a closed greenhouse and the results found can be used to improve the design and control of the greenhouse climate. Air temperatures and velocities simulation give an average of 325.95 K and 0.114 m/s respectively.

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