scholarly journals Using high-precision farming systems in the agricultural sector - the path to digital agriculture

2019 ◽  
Author(s):  
Yury Zubarev ◽  
Denis Fomin ◽  
Nikolai Zubarev
Keyword(s):  
High Precision ◽  
Agricultural Sector ◽  
Farming Systems ◽  
Precision Farming ◽  
Digital Agriculture

scholarly journals Systematic Stakeholder Inclusion in Digital Agriculture: A Framework and Application to Canada

2021 ◽  
Vol 13 (12) ◽  
pp. 6879
Author(s):  
Hassan P. Ebrahimi ◽  
R. Sandra Schillo ◽  
Kelly Bronson
Keyword(s):  
Agricultural Sector ◽  
Food System ◽  
News Article ◽  
Test Case ◽  
Stakeholder Groups ◽  
Research And Innovation ◽  
Article Analysis ◽  
Digital Agriculture ◽  
Responsible Research

This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem. The study uses literature and news article analysis to map stakeholders in the Canadian digital agricultural sector as a test case for the model. The study proposes a systematic framework which categorises stakeholders into individuals, industrial and societal groups with both direct engagement and supportive roles in digital agriculture. These groups are then plotted against three levels of impact or power in the agri-food system: micro, meso and macro.

Precision Farming at the Nexus of Agricultural Production and the Environment

2019 ◽  
Vol 11 (1) ◽  
pp. 313-335 ◽  
Author(s):  
Robert Finger ◽  
Scott M. Swinton ◽  
Nadja El Benni ◽  
Achim Walter
Keyword(s):  
Farming Systems ◽  
Developed Countries ◽  
Legal Framework ◽  
Precision Farming ◽  
Environmental Benefits ◽  
Small Scale ◽  
Public And Private ◽  
Technological Developments ◽  
Public And Private Sector ◽  
Large Farms

Precision farming enables agricultural management decisions to be tailored spatially and temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a heterogeneous entity. Through targeted use of inputs, precision farming reduces waste, thereby cutting both private variable costs and the environmental costs such as those of agrichemical residuals. At present, large farms in developed countries are the main adopters of precision farming. But its potential environmental benefits can justify greater public and private sector incentives to encourage adoption, including in small-scale farming systems in developing countries. Technological developments and big data advances continue to make precision farming tools more connected, accurate, efficient, and widely applicable. Improvements in the technical infrastructure and the legal framework can expand access to precision farming and thereby its overall societal benefits.

scholarly journals Changes of the agricultural staff potential in the transition to digital agriculture

2020 ◽  
Vol 17 ◽  
pp. 00178 ◽  
Author(s):  
Asiya K. Subaeva ◽  
Marat M. Nizamutdinov ◽  
Leysan M. Mavlieva
Keyword(s):  
Agricultural Sector ◽  
Digital Economy ◽  
Industrial Complex ◽  
Level Of Education ◽  
Rural Workers ◽  
Digital Agriculture

The article is devoted to the study of agrarian personnel potential in the digitalization of agriculture. The article provides information on the level of implementation of the digital economy in the agricultural sector; aspects of the introduction of digital agriculture into production are revealed; the level of education of the personnel potential of rural workers is analyzed; the prospects of digitalization of the machine and tractor fleet of the agro-industrial complex are revealed.

scholarly journals Fatalism, Climate Resiliency Training and Farmers’ Adaptation Responses: Implications for Sustainable Rainfed-Wheat Production in Pakistan

2020 ◽  
Vol 12 (4) ◽  
pp. 1650 ◽  
Author(s):  
Nasir Mahmood ◽  
Muhammad Arshad ◽  
Harald Kaechele ◽  
Muhammad Faisal Shahzad ◽  
Ayat Ullah ◽  
...  
Keyword(s):  
Climate Change ◽  
Logit Model ◽  
Agricultural Sector ◽  
Market Access ◽  
Farming Systems ◽  
Multinomial Logit Model ◽  
Adaptation Measures ◽  
Extension Services ◽  
Rainfed Farming ◽  
Rainfed Wheat

Climate change is a severe threat to the agricultural sector in general and to rainfed farming in particular. The aim of this study was to investigate the factors that can potentially affect the adaptation process against climate change. This study focused on wheat farmers and farming systems in the rainfed agroecological zone of Pakistan. Farmers’ data related to climate change fatalism, the availability of climate-specific extension services, socioeconomic and institutional variables, and farm characteristics were collected. A logit model to assess farmers’ decisions to adopt an adaptation measure and a multinomial logit model to assess their choice of various adaptation measures were used. The results showed that fatalistic farmers were unlikely to implement climate change adaptation measures. The variables related to the climate-specific extension services, including farmers’ participation in training on climate-resilient crop farming and the availability of mobile communication-based advisory services, had highly significant and positive impacts on farmers’ decisions and their choice of adaptation measures. Input market access and tractor ownership also had positive and significant impacts on farmers’ decisions to adapt and their choice of adaptation measures. This study highlights the need to improve rainfed-wheat farmers’ education levels to change their fatalistic attitudes towards climate change. Furthermore, government action is needed to provide climate-specific extension services to ensure sustainable production levels that will ultimately lead to food and livelihood security under a changing climate.

Economic Analysis of Precision Farming Systems

2002 ◽  
Author(s):  
R J Godwin ◽  
T E Richards ◽  
G A Wood ◽  
J P Welsh ◽  
S Knight
Keyword(s):  
Economic Analysis ◽  
Farming Systems ◽  
Precision Farming

Data Transfer among Precision Farming Systems

2002 ◽  
Author(s):  
Péter Ákos Mesterházi ◽  
Miklós Neményi ◽  
Károly Kacz ◽  
Zsolt Stépán
Keyword(s):  
Data Transfer ◽  
Farming Systems ◽  
Precision Farming

DIGITAL AGRICULTURE INDUSTRY – CURRENT SITUATION ON THE BASIS OF EXISTING RESEARCHES AND SHARE FACTS

2020 ◽  
Vol 70 (3) ◽  
pp. 20-25
Author(s):  
Ilker Yahov ◽  
Andrey Elenkov
Keyword(s):  
Product Quality ◽  
21St Century ◽  
Rapid Growth ◽  
Agricultural Sector ◽  
Current Situation ◽  
Digital Transformation ◽  
Agriculture Industry ◽  
Digital Agriculture

Despite the big and rapid growth of technologies during the 21st century, there is still an industry that is lagging behind with the optimization and launch of its digital transformation. In fact, this is the agricultural sector. Therefore, in recent years, many attempts have been made to develop and implement optimized processes and technologies, in order to increase production and reduce costs while maintaining product quality. The purpose of this publication is to summarize the current situation on the basis of existing researches and share facts.

The changing role of agriculture in Dutch society

2009 ◽  
Vol 147 (5) ◽  
pp. 511-521 ◽  
Author(s):  
B. G. MEERBURG ◽  
H. KOREVAAR ◽  
D. K. HAUBENHOFER ◽  
M. BLOM-ZANDSTRA ◽  
H. VAN KEULEN
Keyword(s):  
Economies Of Scale ◽  
Agricultural Sector ◽  
Agricultural Research ◽  
Farming Systems ◽  
Farm Size ◽  
Past Century ◽  
The European Union ◽  
Dutch Society ◽  
The Past ◽  
Alternative Farming

SUMMARYDutch agriculture has undergone significant changes in the past century, similar to many countries in the European Union. Due to economies of scale and in order to remain economically profitable, it became necessary for farmers to increase farm size, efficiency and external inputs, while minimizing labour use per hectare. The latter has resulted in fewer people working in the agricultural sector. Consequently, Dutch society gradually lost its connection to agricultural production. This divergence resulted in a poor image for the agricultural sector, because of environmental pollution, homogenization of the landscape, outbreaks of contagious animal diseases and reduced animal welfare. Although the general attitude towards agriculture seems to have improved slightly in recent years, there is still a long way to go in regaining this trust.In order to keep the Dutch countryside viable, farmers are considered indispensable. However, their methods of production should match the demands of society in terms of sustainability. This applies both to farming systems that are used in a monofunctional way (production only) and to multifunctional farming systems. For researchers involved in development of these farming systems, this requires new capabilities; contrary to the situation in the past, citizens and stakeholder groups now demand involvement in the design of farming systems. In the current paper, it is suggested that, besides traditional mainstream agriculture, other alternative farming systems should be developed and implemented. Hence, Dutch agricultural research should remain focused on the cutting edge of economy and society. Despite all efforts, not all of these newly developed systems will acquire a position within the agricultural spectrum. However, some of the successful ones may prove extremely valuable.

scholarly journals The use of automatic and parallel driving systems in agricultural production of the Republic of Kazakhstan and the efficiency of their use

2020 ◽  
Vol 196 (5) ◽  
pp. 11-19
Author(s):  
Yuriy Polischuk ◽  
Nikolay Laptev ◽  
Artem Komarov
Keyword(s):  
Fuel Consumption ◽  
Agricultural Production ◽  
Farming Systems ◽  
Precision Farming ◽  
Total Cost ◽  
Comparative Tests ◽  
Automatic Driving ◽  
Gps Navigation ◽  
The Republic ◽  
Economic Indices

Abstract. Precision farming systems are being intensively introduced into the agricultural production of the Republic of Kazakhstan. Based on the data of development firms and dealerships centers, precision farming allows the cost of fertilizing, seeds, plant protection products and fuels and lubricants to be reduced by an average of 20 %. In doing so, the possibilities of obtaining efficiency from the use of precision farming systems under certain conditions of their use have not been fully studied. The aim of the work was to determine the impact of parallel and automatic driving systems on the technical and operational as well as economic indices during comparative tests in the North Kazakhstan region of the Republic of Kazakhstan. Research methods. During process of conducting comparative tests, the test conditions, agrotechnical, energy, operational and technological as well as economic indices of aggregates equipped with parallel and automatic driving systems and without systems were determined. All indices were determined in accordance with the requirements of current state standards. Results. In the article are presented the results of comparative tests of a self-moving sprayer on chemical weeding of wheat and flax crops, as well as a combine harvester for wheat harvesting in the conditions of Northern Kazakhstan. The use of GPS navigation and automatic control on the chemical weeding of grain and oilseeds crops contributes to an increase in productivity by 14.6 %, reduction in specific energy consumption by 8 %, fuel consumption by 17.0 %, and working fluid consumption by 14.5 %. In doing so, the total cost of money is reduced by 9 %, the annual savings of the total cost of money is 6562.6 thousand tenge (1093.7 thousand rubles). Using a parallel driving system (GPS-navigation with a course indicator) for harvesting wheat leads to an increase productivity by 2.1 %, reduction of total cost of money by 3 %, labor costs and specific fuel consumption by 1.4 %, while the annual savings of total cost of money is 233.4 thousand tenge (38.9 thousand rubles). The scientific novelty. In the conditions of the Northern region of the Republic of Kazakhstan, the influence of parallel and automatic driving systems on the technical, operational and economic performance of machine-tractor units was studied for the first time.

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