Smart agriculture: a literature review DOI
Disha Garg, Mansaf Alam

Journal of Management Analytics, Год журнала: 2023, Номер 10(2), С. 359 - 415

Опубликована: Апрель 3, 2023

Industry 4.0 brings revolutionary changes to farming businesses by integrating emerging technologies such as the Internet of things (IoT), big data analytics (BDA), cloud computing (CC), and artificial intelligence (AI). These Emerging are potential enablers data-driven smart farming. Realizing importance agriculture, we provide a complete picture current literature in agriculture using review classification framework divided into four categories: (i) Smart Farming Activities, (ii) BDA Levels, (iii) Models, (iv) Techniques. This work uses preferred reporting items for systematic reviews (PRISMA) methodology on intelligent A total 90 papers have been identified, content analysis was conducted mine knowledge domain 2011–2022. The primary intention this is clarify most prominent activity, level analytics, models, techniques Finally, findings our discussed, suggestions addressed further research.

Язык: Английский

Enhancing smart farming through the applications of Agriculture 4.0 technologies DOI Creative Commons
Mohd Javaid, Abid Haleem, Ravi Pratap Singh

и другие.

International Journal of Intelligent Networks, Год журнала: 2022, Номер 3, С. 150 - 164

Опубликована: Янв. 1, 2022

Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and moves toward a smarter, more efficient, environmentally responsible sector. Agricultural have emerged to enhance sustainability discover effective farm methods. This encompasses all digitalisation automation processes in business our daily lives, including Big Data, Artificial Intelligence (AI), robots, Internet of Things (IoT), virtual augmented reality. These technological advancements are having profound impact on lives. From technical standpoint, it brings us precision agriculture. provides data-driven strategy for efficiently growing maintaining crops cultivable land, enabling farmers use most resources at their disposal. Throughout supply chain, operations create massive volumes data. Most this information was previously untouched, but with help big data technologies, such can be used improve performance production any crop. Depending crop type its growth needs, digitised harvesters handle huge areas various situations, particularly paper is brief about condition. Smart farming, Various key specific domains Exploring Domain discussed detail and, finally, identified significant applications technologies. essential lives since they simplify duties without recognising them. In systems, fleets equipment employ current infrastructures like cloud computing connect, identify processing condition different regions requirement input materials coordinate machinery.

Язык: Английский

Процитировано

372

Digital innovations for sustainable and resilient agricultural systems DOI Creative Commons
Robert Finger

European Review of Agricultural Economics, Год журнала: 2023, Номер 50(4), С. 1277 - 1309

Опубликована: Июнь 27, 2023

Abstract Digitalisation is rapidly transforming the agri-food sector. This paper investigates emerging opportunities, challenges and policy options. We show that digital innovations can contribute to more sustainable resilient agricultural systems. For example, enable increased productivity, reduced environmental footprints higher resilience of farms. However, these optimistic outcomes increasing digitalisation sector will not emerge on their own, but this development comes with several challenges, costs risks, e.g. in economic, social ethical dimensions. provide recommendations explore opportunities avoid risks. Moreover, we discuss implications for future research economics.

Язык: Английский

Процитировано

80

A review on multirobot systems in agriculture DOI
Chanyoung Ju, Jeongeun Kim, Jaehwi Seol

и другие.

Computers and Electronics in Agriculture, Год журнала: 2022, Номер 202, С. 107336 - 107336

Опубликована: Сен. 16, 2022

Язык: Английский

Процитировано

74

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey DOI Creative Commons
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 145813 - 145852

Опубликована: Янв. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Язык: Английский

Процитировано

69

Analysis of the drivers of Agriculture 4.0 implementation in the emerging economies: Implications towards sustainability and food security DOI Creative Commons
Md. Fahim Bin Alam, Saifur Rahman Tushar,

Sadid Md. Zaman

и другие.

Green Technologies and Sustainability, Год журнала: 2023, Номер 1(2), С. 100021 - 100021

Опубликована: Март 8, 2023

Global food insecurity has become a significant concern, especially for emerging economies. The crisis been exacerbated recently due to the intense supply chain disruption resulting from COVID-19 pandemic and ongoing Russia–Ukraine war. Agriculture 4.0, which combines conventional agriculture with various modern cutting-edge technologies, might help in this regard improve security. In such context, it is essential accurately identify pertinent drivers of 4.0 implementation ensure sustainability security This study, therefore, aims classify, assess, analyze hierarchical relationships among context an economy like Bangladesh, combining Pareto analysis, fuzzy theory, total interpretative structural modeling (TISM), Matriced' Impacts Cruoses Multiplication Applique un Classement (MICMAC) analysis. Based on literature review expert feedback, eighteen factors were identified initially. After employing top thirteen have further analyzed using TISM MICMAC examine their interrelationships. study findings indicate that "Automation & Robotics lessen usage manual labor", "Augmented reality (AR) training new farmers guiding tool evaluation," "Providing adequate financial incentives impoverished building storage facilities" are three most influential implement 4.0. expected contribute significantly future innovation development sector, eliminate hunger regional It potential assist practitioners industry leaders economies strategic decision-making achieving agricultural sector thus achieve relevant SDGs.

Язык: Английский

Процитировано

67

The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review DOI Open Access
Sofia Polymeni, Stefanos Plastras, Dimitrios N. Skoutas

и другие.

Electronics, Год журнала: 2023, Номер 12(12), С. 2651 - 2651

Опубликована: Июнь 13, 2023

Throughout human history, agriculture has undergone a series of progressive transformations based on ever-evolving technologies in an effort to increase productivity and profitability. Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which relied primitive tools, 2.0, incorporated machinery advanced practices, subsequently 3.0, emphasized mechanization employed intelligent technology enhance levels. To further automate agricultural while minimizing inputs pollutants, new approach management concepts fourth industrial revolution is being embraced gradually. This referred as “Agriculture 4.0” mainly implemented through use Internet Things (IoT) technologies, enabling remote control sensors actuators efficient collection transfer data. In addition, fueled by such robotics, artificial intelligence, quantum sensing, four-dimensional communication, form smart agriculture, called 5.0,” now emerging. 5.0 can exploit growing 5G network infrastructure basis. However, only 6G-IoT networks will be able offer technological advances that allow full expansion 5.0, inferred relevant scientific literature research. this article, we first introduce scope well key features leveraged much-anticipated communication systems. We then highlight importance influence these developing advancement conclude with discussion future challenges opportunities.

Язык: Английский

Процитировано

60

Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management DOI Creative Commons
Fernando Fuentes-Peñailillo,

Karen Gutter,

Ricardo Vega

и другие.

Journal of Sensor and Actuator Networks, Год журнала: 2024, Номер 13(4), С. 39 - 39

Опубликована: Июль 8, 2024

This paper explores the potential of smart crop management based on incorporation tools like digital agriculture, which considers current technological applied in such as Internet Things (IoT), remote sensing, and artificial intelligence (AI), to improve production efficiency sustainability. is essential context varying climatic conditions that affect availability resources for agriculture. The integration IoT sensor networks can allow farmers obtain real-time data their crops, assessing key health factors, soil conditions, plant water status, presence pests, environmental among others, finally result data-based decision-making optimize irrigation, fertilization, pest control. Also, this be enhanced by incorporating drones unmanned aerial vehicles (UAVs), increase monitoring capabilities through comprehensive field surveys high-precision growth tracking. On other hand, big analytics AI are crucial analyzing extensive datasets uncover patterns trends provide valuable insights improving agricultural practices. highlights advancements applications management, addressing challenges barriers global adoption these new types technologies emphasizing need ongoing research collaboration achieve sustainable efficient production.

Язык: Английский

Процитировано

56

The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era DOI Open Access
Fatih Ecer, İlkin Yaran Ögel, R. Krishankumar

и другие.

Artificial Intelligence Review, Год журнала: 2023, Номер 56(11), С. 13373 - 13406

Опубликована: Апрель 11, 2023

Язык: Английский

Процитировано

46

The Impact of the Digital Economy on High-Quality Development of Agriculture: A China Case Study DOI Open Access

Wen Yao,

Zhuo Sun

Sustainability, Год журнала: 2023, Номер 15(7), С. 5745 - 5745

Опубликована: Март 25, 2023

With the progress of information technology, digital technology has rapidly penetrated into all sectors national economy and is accelerating reconstruction economic development model, which become a new engine to drive growth lead industrial development. Based on panel data China’s provinces from 2013 2020, this paper empirically tested effect mechanism high-quality agricultural by constructing an evaluation index system for with economic, social, ecological benefits. The results show that promoted agriculture, promotion in eastern region stronger than central western regions. In addition direct promotion, also promotes promoting green agriculture. We should actively promote construction deep integration Secondly, government improve governance create good legal environment agriculture and, at same time, help farmers establish awareness train vocational skills. Finally, policies be formulated according local conditions.

Язык: Английский

Процитировано

44

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

и другие.

Sustainability, Год журнала: 2024, Номер 16(2), С. 475 - 475

Опубликована: Янв. 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.

Язык: Английский

Процитировано

41