Smart farming technologies adoption: Which factors play a role in the digital transition?

2022 ◽  
pp. 101869
Author(s):  
Carlo Giua ◽  
Valentina Cristiana Materia ◽  
Luca Camanzi
Author(s):  
Ivelina Kulova

The purpose of this study is to investigate how companies from food industry in Bulgaria cope with the challenges and trends of the digital transformation. The analysis is based on data from specialized literature and statistics of NSI, EUROSTAT, Siemens and GBCIC, McKinsey Global Institute, IFAC, etc. to draw a comprehensive picture of the degree of digitization penetration in the enterprises of the food industry in Bulgaria. The results illustrate the complexity of the digital transformation of enterprises of food industry in Bulgaria and the challenges they are facing in their digital transition. This study can be a reliable reference for the industry to understand the current situation and the challenges of digitization.


2020 ◽  
Vol 1 (11) ◽  
pp. 12-22
Author(s):  
E. V. KARANINA ◽  
◽  
M. A. BORTNIKOV ◽  

The digital economy implies a structural transformation in many industries, including the energy sector, without taking into account the state specifics of the industry, for which full-fledged digitalization can be harmful. The aim of the study is to develop a methodology and determine the readiness of countries for digitalization in the electric power industry, taking into account all the main industry groups of factors. The paper analyzes the concept of “energy transition” and defines the indices that are applied to assess this transition at the global level. A system of indices is proposed to determine the degree of readiness for a digital transition in the electric power industry as one of the components of the “energy transition” and the most possible scenario for the transformation of this industry in Russia. The analysis of key areas of digital energy development is presented. The degree of readiness of the leading 100 countries in terms of GDP for digitalization in the electric power industry according to the proposed methodology has been calculated, and the further direction of basic research in this direction has been indicated. Conclusions have been drawn on the appropriateness of developing state programs and the main directions to which DM decision should be drawn with due desire to digitize the industry have been highlighted.


2021 ◽  
pp. 13-34
Author(s):  
Alo Sen ◽  
Rahul Roy ◽  
Satya Ranjan Dash

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 530
Author(s):  
Aneesh A. Chand ◽  
Kushal A. Prasad ◽  
Ellen Mar ◽  
Sanaila Dakai ◽  
Kabir A. Mamun ◽  
...  

Farm machinery like water sprinklers (WS) and pesticide sprayers (PS) are becoming quite popular in the agricultural sector. The WS and PS are two distinct types of machinery, mostly powered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is experimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated.


Author(s):  
Anusha Vangala ◽  
Anil Kumar Sutrala ◽  
Ashok Kumar Das ◽  
Minho Jo

Sign in / Sign up

Export Citation Format

Share Document