The Application of Internet of Things in Crop Production Management Research

2013 ◽  
Vol 765-767 ◽  
pp. 889-893
Author(s):  
Kai Meng Sun
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Agricultural Production ◽  
Crop Production ◽  
Production Management ◽  
Solution Method ◽  
Management Research ◽  
Acquisition Device ◽  
Production Research ◽  
Design Idea

The composition, solution, method and design idea of crop information acquisition device applying internet of things were introduced. The applications of internet of things in crop production research were explained, and several technological difficulties and methods were discussed. Meanwhile, the effect and significance of applying internet of things in relevant disciplines of agricultural production were demonstrated.

Organization of agricultural production

2021 ◽  
Author(s):  
Mihail Tushkanov ◽  
Vladimir Vodyannikov ◽  
Artem Maksimov ◽  
Elena Semenova ◽  
Zhanna Telegina ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Crop Production ◽  
Production Management ◽  
Animal Husbandry ◽  
Federal State ◽  
Economic Relations ◽  
Agricultural Enterprises ◽  
Legal Forms ◽  
State Educational ◽  
Organization Of Production

The textbook examines the laws and principles of the organization of agricultural production, the essence, organizational and economic foundations of the creation and operation of agricultural enterprises of various organizational and legal forms. The issues of organization and use of resource potential (land, fixed assets, labor), material incentives, economic calculation, intra-economic economic relations are described. The issues of organization of production of crop production, horticulture and animal husbandry, its storage and sale, environmental protection in the production of organic products are disclosed. Meets the requirements of the federal state educational standards of higher education of the latest generation. For bachelor students studying in the direction of training 38.03.02 " Management "(profiles "Production Management", "Marketing", "Logistics").

scholarly journals Complex development of a digital platform of the agricultural economy

2021 ◽  
Vol 37 ◽  
pp. 00014
Author(s):  
Elmira Amirova ◽  
Ilnur Safiullin ◽  
Amina Sakhbieva ◽  
Timur Aygumov
Keyword(s):  
Agricultural Production ◽  
Crop Production ◽  
Production Management ◽  
Agricultural Sector ◽  
Professional Staff ◽  
Training System ◽  
Educational Process ◽  
Technical Program ◽  
Digital Platform ◽  
Digital Format

This paper describes the key points in the development of a digital platform for the agrarian economy of Russia. The main problems of transition of the Russian economy to a digital format of work, development, expansion of digital literacy, ways of solving the problems of digitalization of agricultural production are revealed. The creation of complex digital models of production processes in agriculture will increase the productivity of the business of agricultural producers. This requires generally valid agricultural production management systems with hundreds of parameters and analysis of big data, which includes the formation and algorithmization of management: equipment, devices, things, processes, money supply. Each platform is built on the management of the processes of crop production, livestock production, logistics of supply and sale. The basis of the digital platform which is being created as a knowledge platform that reflects the availability of professional staff in creating the necessary programs and providing farms with new IT opportunities to increase productivity. Thus, according to our research, improvement of digital infrastructure can be attributed to the main directions of development of digital technologies in the agricultural sector; updating the human resources of citizens by reducing the digital divide; orientation towards the use of domestic scientific and technical developments; development of domestic technologies correlated with scientific developments. A comprehensive scientific and technical program should also include a training system for the development and functioning of digital agriculture, and this requires the modernization of the entire educational process in agricultural educational institutions.

scholarly journals Prospects of Internet of things technologies in agricultural production

2021 ◽  
Author(s):  
I. F. Yurchenko ◽  
Keyword(s):  
Internet Of Things ◽  
Agricultural Production ◽  
Crop Production ◽  
Information Technologies ◽  
Agricultural Sector ◽  
Methodological Approach ◽  
The Internet ◽  
Industrial Complex ◽  
Innovative Solutions ◽  
The Internet Of Things

Purpose: to study, analyze and generalize the current state and prospects of IoT technologies in agricultural production, which allow making the right decisions, reducing risks and increasing the profitability of agricultural production based on the use of a unified information field, formed according to the data of all participants in the production process. Methods: as a basic methodological approach, the method of comparative analysis which made it possible to characterize the main approaches to the use of innovative technologies in the agricultural sector of the economy and determine the prospects for the development of unified scientifically grounded information systems integrated into the country's digital economy in agricultural production was used. Results. The analysis of the digitalization state of agricultural production and the Internet of Things market in domestic agriculture has been carried out, which revealed the need for their formation and development in accordance with the requirements of the departmental project “Digital Agriculture”. The main innovative solutions that characterize the concept of smart agriculture are presented, and the possibility of their application is established at the present time. The technical and technological equipment of agricultural production in the development, implementation and use of information technologies is characterized. The examples of innovative solutions, services and digitalization projects of agricultural production processes successfully implemented in the industry are given. The prospects and directions of using the Internet of Things technologies in the crop production system of the domestic agro-industrial complex are shown. The factors restraining the evolution of innovations of digitalization in agricultural production are determined. Conclusions. The planned introduction of IoT technologies will allow to reduce costs and production risks, as well as to increase labor productivity in agriculture in the Russian Federation by 2 times by 2024.

scholarly journals Mathematical models of agricultural production management in high risk environments

2020 ◽  
Vol 222 ◽  
pp. 01018
Author(s):  
Yaroslav Ivanyo ◽  
Nina Fedurina ◽  
Zhanna Varanitsa-Gorodovskaya
Keyword(s):  
Stochastic Models ◽  
Agricultural Production ◽  
Crop Production ◽  
Production Management ◽  
Crop Yields ◽  
Agricultural Products ◽  
Economic Losses ◽  
Risk Environments ◽  
Snow Fall ◽  
Agricultural Organization

The paper presents an algorithm for modeling the production of agricultural products in the formation of agrometeorological events. Stochastic models of variability of downpours, early snow-fall and crop yields are constructed to assess the likelihood of extreme events. Based on a probabilistic assessment of crop bio-productivity by a normative method, economic losses from agrometeorological events are determined. A model for optimizing crop production taking into account natural risks was built and implemented for an agricultural organization. The results were obtained according to data of the Irkutsk district.

Impact of long-term trials on crop production research and education

2010 ◽  
Vol 58 (Supplement 1) ◽  
pp. 1-5 ◽  
Author(s):  
M. Jolánkai ◽  
F. Nyárai ◽  
K. Kassai
Keyword(s):  
Crop Production ◽  
Life Sciences ◽  
Ecological Models ◽  
Dynamic Databases ◽  
Production Research ◽  
Research And Education

Long-term trials have a twofold role in life sciences, acting as both live laboratories and public collections. Long-term trials are not simply scientific curios or the honoured relics of a museum, but highly valuable live ecological models that can never be replaced or restarted if once terminated or suspended. These trials provide valuable and dynamic databases for solving scientific problems. The present paper is intended to give a brief summary of the crop production aspects of long-term trials.

MONITORING AND PREDICTIVE ANALYTICS OF TECHNOLOGICAL EQUIPMENT ON THE BASED OF INDUSTRIAL INTERNET OF THINGS

2020 ◽  
pp. 7-12
Author(s):  
С.Л. Добрынин ◽  
В.Л. Бурковский
Keyword(s):  
Internet Of Things ◽  
Data Acquisition ◽  
Predictive Analytics ◽  
Actual State ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Machining Time ◽  
Industrial Internet ◽  
Acquisition Device ◽  
Data Acquisition Device

Произведен обзор технологий в рамках концепции четвертой промышленной революции, рассмотрены примеры реализации новых моделей управления технологическими процессами на базе промышленного интернета вещей. Описано техническое устройство основных подсистем системы мониторинга и контроля, служащей для повышения осведомленности о фактическом состоянии производственных ресурсов в особенности станков и аддитивного оборудования в режиме реального времени. Архитектура предлагаемой системы состоит из устройства сбора данных (УСД), реализующего быстрый и эффективный сбор данных от станков и шлюза, передающего ликвидную часть информации в облачное хранилище для дальнейшей обработки и анализа. Передача данных выполняется на двух уровнях: локально в цехе, с использованием беспроводной сенсорной сети (WSN) на базе стека протоколов ZigBee от устройства сбора данных к шлюзам и от шлюзов в облако с использованием интернет-протоколов. Разработан алгоритм инициализации протоколов связи между устройством сбора данных и шлюзом, а также алгоритм выявления неисправностей в сети. Расчет фактического времени обработки станочных подсистем позволяет более эффективно планировать профилактическое обслуживание вместо того, чтобы выполнять задачи обслуживания в фиксированные интервалы без учета времени использования оборудования We carried out a review of technologies within the framework of the concept of the fourth industrial revolution; we considered examples of the implementation of new models of process control based on the industrial Internet of things. We described the technical structure of the main subsystems of the monitoring and control system to increase awareness of the actual state of production resources in particular machine tools and additive equipment in real time. The architecture of the proposed system consists of a data acquisition device (DAD) that implements fast and efficient data collection from machines and a gateway that transfers the liquid part of information to the cloud storage for further processing and analysis. We carried out the data transmission at two levels, locally in the workshop, using a wireless sensor network (WSN) based on ZigBee protocol stack from the data acquisition device to the gateways and from the gateways to the cloud using Internet protocols. An algorithm was developed for initializing communication protocols between a data acquisition device and a gateway, as well as an algorithm for detecting network malfunctions. Calculating the actual machining time of machine subsystems allows us to more efficiently scheduling preventive maintenance rather than performing maintenance tasks at fixed intervals without considering equipment usage

SPATIAL SCHEDULING AND WORKFORCE ASSIGNMENT PROBLEM IN BLOCK ASSEMBLY SHOP OF SHIPBUILDING

2014 ◽  
Vol 31 (01) ◽  
pp. 1450006 ◽  
Author(s):  
NING-RONG TAO ◽  
ZU-HUA JIANG ◽  
LU ZHEN
Keyword(s):  
Assignment Problem ◽  
Production Management ◽  
Solution Method ◽  
Spatial Layout ◽  
Management Framework ◽  
Assembly Shop ◽  
Bottom Left ◽  
Spatial Scheduling ◽  
Effectiveness And Efficiency ◽  
Different Levels

For shipbuilding, spatial scheduling and workforce assignment are two important issues for the operation management in block assembly shops. Spatial scheduling is to decide where and when to assemble blocks, while workforce assignment is to assign working teams to the blocks. Traditionally, they are made separately at different levels in the production management framework. The combining of such decisions presents additional complexity and new problems. This paper proposes an approach that solves jointly the spatial scheduling problem and the workforce assignment problem. The objective is to improve the coordination among working teams and increase the productivity of assembly shops. A spatial layout strategy is designed according to extreme point and deep bottom left strategies. By using genetic algorithm, a solution method is developed based on the spatial layout strategy and several assignment and sequence rules. Some computational experiments are conducted to evaluate the performance of the presented algorithm and compare it with other commonly used methods. Computational results validate the effectiveness and efficiency of the proposed algorithm.

Yield or profit: alternatives to the development of national crop production

Ekonomika APK ◽  
2021 ◽  
Vol 316 (2) ◽  
pp. 15-25
Author(s):  
Dmytro Zherlitsyn ◽  
Andrii Skrypnyk ◽  
Nataliia Klymenko ◽  
Kateryna Tuzhyk
Keyword(s):  
Grain Yield ◽  
Crop Production ◽  
Maximum Yield ◽  
Target Function ◽  
Optimization Methods ◽  
Econometric Analysis ◽  
Practical Significance ◽  
Moderate Increase ◽  
Production Research ◽  
The Impact

The purpose of the article is to determine with the help of econometric and optimization methods the priority strategies of agrarian business in the field of crop production and to compare with the existing leaders in the use of innovations in the field of crop production. Research methods. The study is based on the use of econometric analysis methods to build trends in grain yield dynamics in leading countries in the use of innovative agricultural technologies and optimization methods for the study of dominant strategies used by agricultural enterprises in crop production. Research results. As a result of using the declining marginal grain yield depending on the amount of costs, which are determined by the cost of importing technology per 1 ha, the optimal cost values for both maximum yield and maximum profit. It is shown that at certain time intervals the costs of farmers were excessively high not only in terms of profit optimization but also to optimize yields. It is assumed that taking into account the latest innovation trends, agribusiness will move to a strategy of profit maximization Scientific novelty. As a result of econometric analysis it is shown that the use as a target function of yield leads to a significant increase in the variability of this indicator, while a moderate increase in yield is accompanied by significantly less variability. Quantitative indicators of the impact of climate risks on grain yields in Ukraine have been obtained, which explain approximately 50% of the variance in the grain yield indicator in Ukraine. Practical significance. It is shown that the representation of marginal yield in the form of a decreasing linear function is confirmed in practice. Further research, which in the presence of detailed information on the production processes of individual enterprises can be conducted by panel regression (observation points are spaced in space and time), can provide a more detailed picture of the efficiency of individual production components in their areas of interaction. Tabl.: 4. Figs.: 3. Refs.: 19.

Irrigation.

2021 ◽  
Author(s):  
Lynette Morgan
Keyword(s):  
Fresh Water ◽  
Agricultural Production ◽  
Food Production ◽  
Crop Production ◽  
Cultivated Land ◽  
Plant Life ◽  
Total Food ◽  
Global Issue ◽  
Growing Medium ◽  
Increasing Demand

Abstract Crop production in many regions has been reliant on irrigation for almost as long as man has been cultivating plant life. For 6000 years, irrigation has ranked among the most powerful tools of human advancement (Postel, 1999), and by the start of the 21st century no less than 75% of the world's fresh water was in use for agricultural production (Levy and Coleman, 2014). In 2012, twenty percent of total cultivated land was under irrigation, contributing forty percent of the total food production worldwide, this represented 275 million hectares under actual irrigation with a total of 324 million hectares equipped for irrigation (FAO, 2016). Irrigation, which can be defined as 'the artificial application of water to land, soil or other growing medium for the purposes of crop growth', has become a global issue in more recent times as the increasing demand for fresh water has seen problems develop with water scarcity, quality issues and conflict over usage.

Features of Water Function Zoning of the Surface Water in Sichuan Province

2015 ◽  
Vol 730 ◽  
pp. 221-229
Author(s):  
Rui Kun Cai ◽  
Fu Quan Ni ◽  
Yu Deng
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Resources ◽  
Agricultural Production ◽  
Production Management ◽  
Sichuan Province ◽  
Wastewater Discharge ◽  
Agricultural Wastewater ◽  
Key Points ◽  
Water Quality Deterioration

In this study, based on the water function zoning and the related analyses on the current situations and tendency of the pollutions on water environments in Sichuan province, concluded that the primary cause responsible for the deterioration of water resources is the discharge of agriculture wastewater, and the strengthening of agricultural production management as well as the reduction of the agricultural wastewater discharge are the key points to alleviate the water-quality deterioration.

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