Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives DOI Creative Commons
Sheikh Mansoor, Shahzad Iqbal, Simona Mariana Popescu

и другие.

Frontiers in Plant Science, Год журнала: 2025, Номер 16

Опубликована: Май 14, 2025

Traditional farming methods, effective for generations, struggle to meet rising global food demands due limitations in productivity, efficiency, and sustainability amid climate change resource scarcity. Precision agriculture presents a viable solution by optimizing use, enhancing fostering sustainable practices through data-driven decision-making supported advanced sensors Internet of Things (IoT) technologies. This review examines various smart used precision agriculture, including soil moisture, pH, plant stress etc. These deliver real-time data that enables informed decision-making, facilitating targeted interventions like optimized irrigation, fertilization, pest management. Additionally, the highlights transformative role IoT agriculture. The integration sensor networks with platforms allows remote monitoring, analysis via artificial intelligence (AI) machine learning (ML), automated control systems, enabling predictive analytics address challenges such as disease outbreaks yield forecasting. However, while offers significant benefits, it faces high initial investment costs, complexities management, needs technical expertise, security privacy concerns, issues connectivity agricultural areas. Addressing these technological economic is essential maximizing potential sustainability. Therefore, this we explore latest trends, challenges, opportunities associated enabled

Язык: Английский

Machine Learning in Sustainable Agriculture: Systematic Review and Research Perspectives DOI Creative Commons
Juan Botero-Valencia, Vanessa García Pineda, Alejandro Valencia-Arías

и другие.

Agriculture, Год журнала: 2025, Номер 15(4), С. 377 - 377

Опубликована: Фев. 11, 2025

Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision improves agricultural productivity profitability while reducing costs environmental impact. However, ML implementation faces challenges such as managing large volumes adequate infrastructure. Despite significant advances applications sustainable agriculture, there is still a lack deep systematic understanding several areas. Challenges include integrating sources adapting models to local conditions. This research aims identify trends key players associated with use agriculture. A review was conducted using the PRISMA methodology bibliometric analysis capture relevant studies from Scopus Web Science databases. The study analyzed literature between 2007 2025, identifying 124 articles that meet criteria for certainty assessment. findings show quadratic polynomial growth publication on notable increase up 91% per year. most productive years were 2024, 2022, 2023, demonstrating growing interest field. highlights importance multiple improved decision making, soil health monitoring, interaction climate, topography, properties land crop patterns. Furthermore, evolved weather advanced technologies like Internet Things, remote sensing, smart farming. Finally, agenda need deepening expansion predominant concepts, farming, develop more detailed specialized explore new maximize benefits sustainability.

Язык: Английский

Процитировано

6
Seniors and Sustenance: A Scoping Review on Food Security in the Elderly DOI Creative Commons

Nor Faiza Mohd Tohit,

Roselawati Mat Ya,

Mainul Haque

и другие.

Advances in Human Biology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Abstract The issue of food security amongst older people is a growing concern, as ageing populations face unique challenges that impact their access to adequate nutrition. This scoping review aims explore and synthesise existing literature on in later life, identifying key factors contributing insecurity seniors highlighting interventions can enhance access. By employing systematic approach based Arksey O’Malley’s framework, this study examines research from multiple databases, focussing studies published the past decade. findings reveal multifaceted problem influenced by socio-economic status, health limitations, social isolation geographic barriers. Elderly individuals often encounter mobility issues hinder ability procure food, while fixed incomes rising costs exacerbate nutritious options. In addition, identifies successful community-based programmes policy initiatives have shown promise addressing these challenges, emphasising importance tailored consider specific needs people. analysis highlights significant gaps current literature, particularly areas culturally sensitive long-term effects mental health. Furthermore, role technology mitigating presents promising yet underexplored avenue for future research. underscores critical need comprehensive strategies integrating policy, community support technological innovations effectively combat seniors. issues, stakeholders improve overall quality life outcomes elderly population, ensuring nutritional are met sustainably.

Язык: Английский

Процитировано

2
A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction DOI Creative Commons
Md. Alamin Talukder,

Majdi Khalid,

Nasrin Sultana

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 7, 2025

Intrusion detection systems are essential for securing wireless sensor networks (WSNs) and Internet of Things (IoT) environments against various threats. This study presents a novel hybrid machine learning (ML) model that integrates KMeans-SMOTE (KMS) data balancing principal component analysis (PCA) dimensionality reduction, evaluated using the WSN-DS TON-IoT datasets. The employs classifiers such as Decision Tree Classifier, Random Forest Classifier (RFC), gradient boosting techniques like XGBoost (XGBC) to enhance accuracy efficiency. proposed (KMS + PCA RFC) approach achieves remarkable performance, with an 99.94% f1-score on dataset. For dataset, it 99.97% 99.97%, outperforming traditional SMOTE TomekLink Generative Adversarial Network-based techniques. addresses class imbalance high-dimensionality challenges, providing scalable robust intrusion detection. Complexity reveals reduces training prediction times, making suitable real-time applications.

Язык: Английский

Процитировано

2
Balancing food security and environmental health: the dual challenge of pesticide use in India DOI Creative Commons
Arun Kumar, B. S. Bhople,

Jayanthi Jeganathan

и другие.

Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Combatting toxic chemical elements pollution for sub-Saharan Africa's ecological health DOI Creative Commons
Asha Ripanda,

Miraji Hossein,

Mwemezi J. Rwiza

и другие.

Environmental Pollution and Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
The role of automation and robotics in transforming hydroponics and aquaponics to large scale DOI Creative Commons
Milon Selvam Dennison, Pankaj Kumar, Fwangmun Wamyil

и другие.

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Фев. 17, 2025

Язык: Английский

Процитировано

1
Big data analytics in food industry: a state-of-the-art literature review DOI Creative Commons
Aftab Siddique, Ashish Gupta, Jason T. Sawyer

и другие.

npj Science of Food, Год журнала: 2025, Номер 9(1)

Опубликована: Март 21, 2025

The food industry has experienced rapid growth over the past two decades, driven by technological advancements that have generated vast quantities of complex data. However, industry's ability to effectively analyze and leverage this data remains limited due lack control diverse variables. This review addresses a critical gap exploring how AI-ML-based approaches can be applied solve key challenges in sector.

Язык: Английский

Процитировано

1
A Study of YOLO Architectures for Wildfire and Smoke Detection in Ground and Aerial Imagery DOI Creative Commons
Leo Ramos, Edmundo Casas, Cristian Romero

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104869 - 104869

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

1
Precision Agriculture: A Bibliometric Analysis and Research Agenda DOI Creative Commons
Abderahman Rejeb, Karim Rejeb, Alireza Abdollahi

и другие.

Smart Agricultural Technology, Год журнала: 2024, Номер unknown, С. 100684 - 100684

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

3
AI-Powered Autonomous Farming: The Future of Sustainable Agriculture DOI

Minhajul Islam Mim,

Fariha Sultana,

Md Riaz Hasan

и другие.

European Journal of Theoretical and Applied Sciences, Год журнала: 2025, Номер 3(1), С. 11 - 31

Опубликована: Янв. 1, 2025

The integration of Artificial Intelligence (AI) in agriculture represents a transformative shift traditional farming practices, enhancing productivity, efficiency, and sustainability. This paper explores key applications AI across smart farming, vertical urban fully autonomous farms, highlighting the significant role optimizing resource management, improving crop health monitoring, automating agricultural operations. synergy between Internet Things (IoT) facilitates real-time data analysis, leading to precision proactive decision-making. In technology supports optimization continuous addressing challenges related food security densely populated areas. Fully farms further exemplify advancement by minimizing labor costs maximizing operational efficiency. However, widespread adoption faces several challenges, including high initial investment costs, technological complexity, privacy concerns, regulatory hurdles, ethical implications employment. As landscape evolves, these is vital for successful implementation technologies. Future prospects indicate that ongoing advancements robotics will enhance production systems, contributing sustainability resilience agriculture. exploration underscores importance continued collaboration among providers, policymakers, community harness potential while mitigating associated risks, ensuring modern practices meet demands growing global population an environmentally responsible manner.

Язык: Английский

Процитировано

0