Agrarian potential in the function of economic development of the municipality of Varvarin DOI Creative Commons

Nemanja Josifov,

Marko Sedlak, Milan Mladenović

et al.

Zbornik radova - Geografski fakultet Univerziteta u Beogradu, Journal Year: 2023, Volume and Issue: 71, P. 129 - 152

Published: Jan. 1, 2023

The paper analyzed the agrarian potential at level of settlements in municipality Varvarin. This work aims to identify most significant factors that affect potential. following methods were applied: method successive dividers for determining direction agricultural land use, weighting obtaining a reference value calculating potential, and correlation coefficient analysis cause-and-effect relationships between by used parameters. provides an overview key problems agriculture local, regional, national, continental, global levels, including programs implemented certain developed countries revitalize agriculture.

Language: Английский

Seeding a Sustainable Future: Navigating the Digital Horizon of Smart Agriculture DOI Open Access
Sakshi Balyan, Harsita Jangir, Shakti Nath Tripathi

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 475 - 475

Published: Jan. 5, 2024

Agriculture is essential to the existence of human race, as well foundation our civilization, because it provides food, fuel, fiber, and other resources necessary for survival; however, facing critical challenges due anthropogenic climate change, which hampers food nutritional security. Consequently, agriculture industry must adjust farming issues, such shift in global temperatures environmental degradation, scarcity farm workers, population growth, dietary changes. Several measures have been implemented enhance agricultural productivity, including plant breeding, genetic engineering, precision agriculture. In recent years, world has witnessed burgeoning development novel scientific innovations technological advancements enabled by drones, smart sensors, robotics, remote sensing, resulting a plethora revolutionary methods that can be applied real-time crop modeling, high-throughput phenotyping, weather forecasting, yield prediction, fertilizer application, disease detection, market trading, practices, practices vital yield, quality. Furthermore, rise big data, advanced analytics, falling technology costs, faster internet connections, increased connectivity, increases computational power are all part current digitalization wave potential support commercial achieving its goals farming, resilience, sustainability. These technologies enable efficient monitoring crops, soil, conditions over large areas, providing farmers with data precise management optimizes productivity minimizes impacts. Though significant potential, like high implementation security concerns, inadequate digital literacy among remain. summary, rapidly transforming from conventional offering solutions, resource utilization, minimized input costs while fostering farmer livelihoods economic growth. Delivering comprehensive view how could help tackling issues degradation threatened biodiversity, this perspective emphasizes perks digitalization. Future may involve encryption, literacy, particular policies.

Language: Английский

Citations

35

Application of precision agriculture technologies in Central Europe-review DOI Creative Commons
Bojana Petrović, Roman Bumbálek, Tomáš Zoubek

et al.

Journal of Agriculture and Food Research, Journal Year: 2024, Volume and Issue: 15, P. 101048 - 101048

Published: Feb. 15, 2024

Precision agriculture (PA) relies on a large amount of precise data about given area and allows that to be used in accordance with agronomic practices. It offers farmers greater control over existing processes, from crop placement soil conditions chemical use. On the other hand, applying precision livestock solutions these expanding systems is way bring animals closer producers minimize waste costs. In Europe, has emerged as new help increase quantity quality agricultural production while using fewer inputs. The spatial temporal variability application PA implications site-specific are documented this article. objective review article provide an overview Central European countries (Poland, Czech Republic, Austria, Slovakia, Slovenia, Germany, Hungary) identified through systematic literature (SLR). analyses revealed rapid development automation agriculture, demand for skilled workers will continue technology open up areas well AgriTech startups future. Currently, there Germany Republic who leaders use technologies. However, requires further research more accurate information constantly evolving.

Language: Английский

Citations

28

Factors Influencing Precision Agriculture Technology Adoption Among Small-Scale Farmers in Kentucky and Their Implications for Policy and Practice DOI Creative Commons
S. C. Pāṇḍeya, Buddhi Gyawali, Suraj Upadhaya

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 177 - 177

Published: Jan. 15, 2025

The increasing pressure on food security and environmental sustainability has emphasized the importance of effective farm resource usage. Precision agriculture technologies (PATs) have been considered as one solutions to these challenges. Multiple stakeholders agencies working in sector implemented various initiatives facilitate their adoption. Despite numerous initiatives, adoption PATs small farms is shallow United States. It important understand what socio-economic demographic factors influence decision-making regarding PAT This research aimed provide actionable insights that can help farmers overcome existing challenges capitalize benefits advanced agricultural practices, ultimately contributing resilience sector. study used a mixed approach (a combination mail, in-person, focus group discussion) investigate influencing by small-scale Kentucky. data were analyzed using binary logistic regression method. results revealed size longer years farming experience increased likelihood adoption, whereas farmers’ age negatively affected Other variables, such gender, income, education, did not significantly. To promote among Kentucky, policies should supporting younger building suitable for operating reducing barriers. Furthermore, providing targeted training resources technologies, thereby improving efficiency sustainability.

Language: Английский

Citations

2

Adoption of smart farming technologies in field operations: A systematic review and future research agenda DOI
Hazem Yusuf Osrof, Cheng Ling Tan, Angappa Gunasekaran

et al.

Technology in Society, Journal Year: 2023, Volume and Issue: 75, P. 102400 - 102400

Published: Oct. 21, 2023

Language: Английский

Citations

27

Digital transformation of the agricultural industry: Behavioral decision-making, influencing factors, and simulation practices in the Yunnan highlands DOI

Liyang Zhao,

Hong Chen,

Chunhui Wen

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 358, P. 120881 - 120881

Published: April 15, 2024

Language: Английский

Citations

8

Regional Perspective of Using Cyber Insurance as a Tool for Protection of Agriculture 4.0 DOI Creative Commons
Maksym W. Sitnicki, Nataliia Prykaziuk,

Humeniuk Ludmila

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(2), P. 320 - 320

Published: Feb. 18, 2024

The digitalization of the agricultural industry is manifested through active use innovative technologies in all its areas. Agribusiness owners have to constantly improve their security meet new challenges. In this context, existing cyber risks agrarian were assessed and classification by possible consequences, such as data theft or alteration, terrorism, warfare, software hacking modification, blocking markets transactions on them, was proposed. Cyber insurance an effective tool for minimizing likelihood incidents comprehensive post-incident support, with involvement cybersecurity specialists. An algorithm cooperation between company when concluding a risk contract proposed, which takes into account needs wishes insurers at each stage interaction. To assess need agriculture 4.0, methodology has been developed evaluate regional characteristics agribusiness. results study show heterogeneous different regions world.

Language: Английский

Citations

6

Role of Smart Farm as a Tool for Sustainable Economic Growth of Korean Agriculture: Using Input–Output Analysis DOI Open Access

Sung-Wook Choi,

Yong Jae Shin

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3450 - 3450

Published: Feb. 13, 2023

This study focused on smart farms in Korea to confirm that the fourth industrial revolution technology is a tool can be used for sustainable economic development agriculture. input–output table, which included production-inducing effects of demand inducement model, value-added inducing effects, supply shortage and interlinkage effect. These methods were compare impact farm machinery agriculture Korean economy compared conventional agriculture, thereby confirming extent effect was conducted determine whether this agricultural sector could lead development. The analysis revealed showed greater ripple than those sector. However, both larger Considering only indirect effect, found evenly affect secondary tertiary industries. In case have industry, whereas agri-machines had industry. Moreover, according classified as raw industry with final demand, manufacturing intermediate demand. results several implications. For growth continuous creation new value by developing various types business models linked other industries consideration characteristics necessary. addition, fully demonstrate farms, management support are required so technologies strategically utilized

Language: Английский

Citations

13

Enhancing Precision Agriculture for Climate Change Mitigation in Visegrad Countries: Factors Shaping Adaptation DOI Creative Commons
Bojana Petrović, László Csambalik

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 399 - 399

Published: Feb. 14, 2025

As climate change intensifies, organic agriculture faces new challenges in maintaining sustainability and environmental health. Precision offers climate-smart solutions by enabling resource efficient data-driven farming. However, the adoption of precision technologies (PATs) is influenced various socio-economic factors, behavioral financial institutional factors technological factors. Adaptation for their application response to were identified through a systematic literature review (SLR) 58 papers from journals indexed Scopus Web Science. The investigation was performed Visegrad group countries: Czechia, Slovakia, Poland, Hungary. Some these include satellite imaging, remote sensing, soil moisture sensors, irrigation systems, which enable more use water, fertilizers, energy. Through comparative analysis V4 countries, this underscores importance tailored PA approaches address specific challenge promote sustainable agricultural practices countries.

Language: Английский

Citations

0

Climate-resilient water management: Leveraging IoT and AI for sustainable agriculture DOI
Syed Muhammad Zaigham Abbas Naqvi, Saddam Hussain, Muhammad Awais

et al.

Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 30, P. 100691 - 100691

Published: April 26, 2025

Language: Английский

Citations

0

A First View on the Competencies and Training Needs of Farmers Working with and Researchers Working on Precision Agriculture Technologies DOI Creative Commons
Anastasios Michailidis, Chrysanthi Charatsari, Thomas Bournaris

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(1), P. 99 - 99

Published: Jan. 4, 2024

The penetration of precision agriculture technologies in agrifood systems generates the need for efficient upskilling programs targeted at farmers and other actors. A critical first step this direction is to uncover training needs actors involved ecosystems. present study aimed identify assess gaps competencies related Greek livestock researchers specialized field. For farmers, we followed a partially mixed research design. To researchers’ needs, chose qualitative-dominant approach. results revealed that lack concerning exploitation technologies. Depending on their area expertise, have associated with predicting how affects future farming understanding artifacts interplay socio-environmental economic factors. Despite limited generalizability findings, which represent limitation reliance data two small sample sizes, our indicate that, beyond technology-related competencies, it essential enhance capacity producers foresight shape potential (digital) futures.

Language: Английский

Citations

3