Nanotechnology as a sustainable solution for proliferating agriculture sector DOI

R. Ridhi,

G. S. S. Saini, Surya Kant Tripathi

et al.

Materials Science and Engineering B, Journal Year: 2024, Volume and Issue: 304, P. 117383 - 117383

Published: April 22, 2024

Language: Английский

Main drivers and barriers to the adoption of Digital Agriculture technologies DOI Creative Commons
Thaís Aparecida Dibbern, L. A. S. Romani, S. M. F. S. Massruhá

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 8, P. 100459 - 100459

Published: April 15, 2024

The transition from traditional agriculture to Digital Agriculture involves various elements that make it challenging. Given the different contexts and particularities, this paper aims identify analyze primary factors barriers adopting Agriculture, promote an understanding of transition. By conducting a bibliometric assessment analyzing case studies, results show economic condition, availability technological infrastructure, technical knowledge, age farmers, type organization, reliability technology, concerns about security privacy are important in Agriculture. study also reveals limitation linked data sources used their preparation by studies. This finding existence gap literature concerning scarcity indicators capable measuring adoption digital while at same time providing perspective devoid producer bias. Furthermore, considering insights provided identification analysis those barriers, policymakers can tailor policies address specific challenges widespread technologies agriculture.

Language: Английский

Citations

28

Promoting the Transition towards Agriculture 4.0: A Systematic Literature Review on Drivers and Barriers DOI Open Access
Roberto Fragomeli, Azzurra Annunziata, Gennaro Punzo

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2425 - 2425

Published: March 14, 2024

In the modern era, imperative of digitalisation to enhance competitiveness spans various sectors, with agriculture being no exception. Agriculture 4.0, strategically positioned address challenges like climate change, food security, and resource preservation, holds potential increase productivity, profitability, sustainability in agriculture. Despite global accessibility digital technologies, their adoption within sector, especially among small medium-sized farms, encounters obstacles. Realising full 4.0 requires understanding factors influencing technology adoption. To this, study conducts a systematic literature review using PRISMA method, focusing on identifying primary drivers barriers associated implementation technologies. The is complemented by network analysis identified barriers. A total 42 articles from 2011 2023, sourced Scopus database, are examined. Individual farm-related play crucial role driving smart farming along social trust influence. Economic constraints lack infrastructure, such as internet access, emerge significant can inform development strategies promote transition 4.0. Farmers stand benefit insights into advantages, required skills, challenges, aiding informed decision-making

Language: Английский

Citations

17

Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming DOI
Siva Sai,

Sanjeev Kumar,

Aanchal Gaur

et al.

Cognitive Computation, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 1, 2025

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

From Detection to Protection: The Role of Optical Sensors, Robots, and Artificial Intelligence in Modern Plant Disease Management DOI
Anne‐Katrin Mahlein, Jayme Garcia Arnal Barbedo, Kuo-Szu Chiang

et al.

Phytopathology, Journal Year: 2024, Volume and Issue: 114(8), P. 1733 - 1741

Published: May 29, 2024

In the past decade, there has been a recognized need for innovative methods to monitor and manage plant diseases, aiming meet precision demands of modern agriculture. Over last 15 years, significant advances in detection, monitoring, management diseases have made, largely propelled by cutting-edge technologies. Recent agriculture driven sophisticated tools such as optical sensors, artificial intelligence, microsensor networks, autonomous driving vehicles. These technologies enabled development novel cropping systems, allowing targeted crops, contrasting with traditional, homogeneous treatment large crop areas. The research this field is usually highly collaborative interdisciplinary endeavor. It brings together experts from diverse fields pathology, computer science, statistics, engineering, agronomy forge comprehensive solutions. Despite progress, translating advancements decision-making or automation into agricultural practice remains challenge. knowledge transfer extension particularly challenging. Enhancing accuracy timeliness disease detection continues be priority, data-driven intelligence systems poised play pivotal role. This perspective article addresses critical questions challenges faced implementation digital management. underscores urgency integrating technological traditional integrated pest highlights unresolved issues regarding establishment control thresholds site-specific treatments necessary alignment technology use regulatory frameworks. Importantly, paper calls intensified efforts, widespread dissemination, education optimize application management, recognizing intersection technology's potential its current practical limitations.

Language: Английский

Citations

8

Change Management in Agriculture 4.0: SAP-LAP Model in Support of Sustainable Development and Food Security DOI
Aktam U. Burkhanov, Anastasia A. Sozinova, Yuliya Tyurina

et al.

Global Journal of Flexible Systems Management, Journal Year: 2024, Volume and Issue: 25(S1), P. 61 - 78

Published: March 18, 2024

Language: Английский

Citations

7

Proposal for a framework to manage the barriers that hinder the development of agriculture 4.0 in the agricultural production chain DOI
Franco da Silveira, Jayme Garcia Arnal Barbedo, Sabrina Letícia Couto da Silva

et al.

Computers and Electronics in Agriculture, Journal Year: 2023, Volume and Issue: 214, P. 108281 - 108281

Published: Oct. 6, 2023

Language: Английский

Citations

14

Blockchain and agricultural sustainability in South America: a systematic review DOI Creative Commons
Cristian Camilo Ordoñez,

Gustavo Ramírez Gonzales,

Juan Carlos Corrales

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: Feb. 13, 2024

In its fundamental role for food security in South America, sustainable agriculture faces the challenge of addressing current and future needs region while ensuring profitability, environmental health, social economic equity. Currently, as support agriculture, a significant transformation is observed agricultural landscape due to development advanced information systems. Technologies such Artificial Intelligence, Machine Learning, Blockchain have emerged crucial tools document processes. technology has proven be highly beneficial effectively issue supply chain by providing solutions transparent traceable This solves problem establishing permanent open record all transactions activities chain, allowing consumers stakeholders track origin quality products, thereby fostering trust fair trade. For this reason, article conducted review state blockchain aimed at researchers farmers America. The advantages disadvantages were identified, focusing on technologies developed tested during design pilot phases. PRISMA methodology was used review, documents searched Scopus Web Science databases. Six hundred fifty-six articles identified selected (2018–2023 period), but only 104 met eligibility inclusion criteria. findings indicate 30% increase adoption decentralized applications (DAPs) powered agribusiness sector compared previous year. After thorough analysis, it been determined that smart contracts, non-fungible tokens digital assets, oracles will provide promising future.

Language: Английский

Citations

5

Factors Influencing the Perceptions of Smallholder Farmers towards Adoption of Digital Technologies in Eastern Cape Province, South Africa DOI Creative Commons
N.V. Bontsa, Abbyssinia Mushunje, Saul Ngarava

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 13(8), P. 1471 - 1471

Published: July 25, 2023

The objective of the study was to determine factors that influence perceptions smallholder farmers towards adoption digital technologies. A purposively selected sample 250 who were cross-sectionally surveyed from Port St Johns and Ingquza Hill Local Municipalities in South Africa used study. Technology Acceptance Model (TAM) Attention, Desire, Action (AIDA) model analyse data. results showed technologies perceived be expensive, cause a divide, discouraged use Indigenous Knowledge even though they increased production. Positive perception associated with cattle rearing, extreme negative for sheep goat rearing. Educational level, employment status, monthly income, household size, being part cooperative (1% level), age, source income (10% level) significant affecting farmers’ In conclusion, there are economic, social justice, traditional by farmers, socio-economic perceptions. recommends providing low-cost promote Knowledge, which should target youth young less education small households full-time moderate-to-high incomes farmer groups/organisations.

Language: Английский

Citations

12

Artificial intelligence and sustainable development in Africa: A comprehensive review DOI Creative Commons
Ibomoiye Domor Mienye, Yanxia Sun,

Emmanuel Ileberi

et al.

Machine Learning with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 100591 - 100591

Published: Oct. 1, 2024

Language: Английский

Citations

4