An Empirical Exploration of E-Agriculture System Acceptance, Satisfaction, and Usage DOI Creative Commons

Santosh Kumar,

Jyoti Prakash Singh, K. S. Kavi Kumar

и другие.

International Journal of Electronic Government Research, Год журнала: 2024, Номер 20(1), С. 1 - 26

Опубликована: Май 29, 2024

The Indian economy relies heavily on agriculture, and an e-agriculture portal is a digital tool for sustainable development. It enables government farmers to exchange information share resources with anyone. However, many are unaware of it, negatively impacting production supply chains. paper uses the Unified Theory Acceptance Use Technology analyze intention use portal. study used empirical methods assess how citizen satisfaction concerns affect purpose using Data were collected from 294 rural area further analyzed partial least squares structural equation modelling. study's main findings that (1) performance expectancy has most significant impact, while facilitating conditions have impact experience habit don't significantly usage. (2) positively affects satisfaction, engagement, trust in government, technology.

Язык: Английский

Smart Agriculture Technology: An Integrated Framework of Renewable Energy Resources, IoT-Based Energy Management, and Precision Robotics DOI Creative Commons
Anis Ur Rehman,

Yasser Alamoudi,

Haris M. Khalid

и другие.

Cleaner Energy Systems, Год журнала: 2024, Номер 9, С. 100132 - 100132

Опубликована: Авг. 11, 2024

Modern agricultural practices encounter challenges related to operational efficiency and environmental effects. This prompts a demand for innovative solutions foster sustainability in farming while emphasizing the limitations of conventional methods. To address these modern agriculture systems, this research proposes comprehensive framework smart farming. The proposed comprises three technology integrations: 1) an efficient integration renewable energy resources (RERs) with solar panels battery storage systems (BESS), 2) IoT-based monitoring precision irrigation, 3) android application-controlled robotic system targeted chemical application. investigates case study on Sharjah, United Arab Emirates (UAE) explore analyze optimal scenarios multiple resources. Results demonstrate successful cross-prototype through Blynk IoT platform providing users unified interface. Furthermore, results provide analysis investigation into interactions between RERs grid across various combinations. findings indicate potential revolutionize thus offer sustainable, efficient, technologically advanced approach. It also represents contribution complete solution presenting tangible promising future sustainable practices.

Язык: Английский

Процитировано

17

Sensors, systems and algorithms of 3D reconstruction for smart agriculture and precision farming: A review DOI

Shuwan Yu,

Xiaoang Liu, Qianqiu Tan

и другие.

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 224, С. 109229 - 109229

Опубликована: Июль 10, 2024

Язык: Английский

Процитировано

13

Trends and Future Directions in Research on the Protection of Traditional Village Cultural Heritage in Urban Renewal DOI Creative Commons
Jun Xia,

Xuefei Gu,

Tianru Fu

и другие.

Buildings, Год журнала: 2024, Номер 14(5), С. 1362 - 1362

Опубликована: Май 10, 2024

The process of urbanization has accelerated economic growth while also presenting social challenges. Urban renewal is crucial for achieving sustainable urban development, especially by preserving traditional villages as cultural heritage sites within cities. This study employs Python algorithm programming and visual analysis functions to conduct a bibliometric 408 research papers on the preservation village in from 1999 2023 Web Science core database. objective examine historical background, current status, future trends this area. explores cooperation networks, co-citation relationships, co-occurrence patterns, emerging characteristics protection renewal. It focuses various aspects, such authors, institutions, countries, journals, documents, keywords. results indicate that can be divided into three developmental stages. “Sustainable development”, “cultural heritage”, “historic landscapes”, “rural revitalization” are hotspots field. provide comprehensive overview evolution field help researchers willing work area quickly understand frontiers general situation.

Язык: Английский

Процитировано

9

Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models DOI Creative Commons

Hongkun Fu,

Jian Lü,

Jian Li

и другие.

Agronomy, Год журнала: 2025, Номер 15(1), С. 205 - 205

Опубликована: Янв. 16, 2025

Accurate crop yield prediction is crucial for formulating agricultural policies, guiding management, and optimizing resource allocation. This study proposes a method predicting yields in China’s major winter wheat-producing regions using MOD13A1 data deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of Convolutional Neural Network (CNN) with IGWO, accuracy significantly enhanced. Additionally, explores potential Green Normalized Difference Vegetation Index (GNDVI) prediction. The research utilizes collected from March to May between 2001 2010, encompassing vegetation indices, environmental variables, statistics. results indicate that IGWO-CNN outperforms traditional machine approaches standalone CNN models terms accuracy, achieving highest performance R2 0.7587, RMSE 593.6 kg/ha, MAE 486.5577 MAPE 11.39%. finds April optimal period early wheat. validates effectiveness combining remote sensing prediction, providing technical support precision agriculture contributing global food security sustainable development.

Язык: Английский

Процитировано

1

Bi-Level hierarchical ensemble intelligent approach for evaluating Spatio-Temporal Semantic data management systems in IoT-Based Agriculture 5.0 DOI
Nahia Mourad, Sarah Qahtan,

Bilal Bahaa

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127083 - 127083

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1

An in-depth review on the concept of digital farming DOI
Esraa E. Ammar,

Samah Abdel Aziz,

Xiaobo Zou

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Июнь 29, 2024

Язык: Английский

Процитировано

6

Precision Agriculture and Sustainable Yields: Insights from IoT-Driven Farming and the Precision Agriculture Test DOI Creative Commons
Nikolai Vatin, Sanjeev Kumar Joshi, Puja Acharya

и другие.

BIO Web of Conferences, Год журнала: 2024, Номер 86, С. 01091 - 01091

Опубликована: Янв. 1, 2024

This study clarifies how precision agriculture powered by the Internet of Things may optimize agricultural productivity and sustainability. Important connections, like positive association between output soil moisture, are revealed analyzing data from sensors. Test findings for Precision Agriculture show impressive production increases: 20% better yields wheat, 15% higher maize, 5% soybeans. Interestingly, these improvements come with significant resource savings, a 10% to reduction in use pesticides fertilizers. The evaluation sustainable yield highlights efficiency levels 92% 95%. These results demonstrate has potential completely transform contemporary methods maximizing crop output, promoting sustainability, reducing environmental impact.

Язык: Английский

Процитировано

4

Growing Green: Sustainable Agriculture Meets Precision Farming: A Review DOI Open Access
S. L. Kayastha, Anup Behera, Jyoti Prakash Sahoo

и другие.

Bhartiya Krishi Anusandhan Patrika, Год журнала: 2024, Номер Of

Опубликована: Янв. 18, 2024

Precision farming involves the use of advanced technologies such as global positioning system (GPS), sensors and data analytics to make informed decisions on crop management. The integration sustainable agriculture principles with precision techniques offers a holistic approach address challenges faced by modern agriculture. This review explores convergence practices, aiming enhance efficiency, productivity environmental sustainability systems. delves into farming, which GPS, optimize resource improve yields. practices within frameworks is central focus, emphasizing importance supervision, soil health biodiversity conservation. also highlights collaboration between cutting-edge agricultural environment friendly illustrating path forward for industry towards resilient nutritional security.

Язык: Английский

Процитировано

4

An Evaluation of Research Interests in Vertical Farming through the Analysis of KPIs Adopted in the Literature DOI Open Access
Benedetta Fasciolo, Ahmed Awouda, Nicolò Grasso

и другие.

Sustainability, Год журнала: 2024, Номер 16(4), С. 1371 - 1371

Опубликована: Фев. 6, 2024

Vertical farming has gained increased attention in recent years due to its capacity reduce the environmental impact of agricultural production terms water consumption and soil fertilizer usage. In literature, many works describe evaluate applications vertical farming. However, no work addresses issue classifying KPIs for highlights both most assessed aspects lack evaluations. The main contribution this study is conduct a literature review identify classify used To aim, we first proposed methodology define KPI categories. Then, identified classified them according defined Finally, analyzed obtained results. As result, collection 78 were compiled organized into analyses on frequency allow us conclude that related productivity are as compared those sustainability quality. Furthermore, very few papers perform cross-category evaluation. This underscores necessity more balanced consideration productivity, quality, context

Язык: Английский

Процитировано

4

A comprehensive examination of security and privacy in precision agriculture technologies DOI Creative Commons

Pauline A. Ongadi

GSC Advanced Research and Reviews, Год журнала: 2024, Номер 18(1), С. 336 - 363

Опубликована: Янв. 30, 2024

Precision agriculture has revolutionized modern farming practices by integrating cutting-edge technologies such as sensors, drones, and data analytics to optimize crop management. While these advancements offer unprecedented benefits in terms of yield optimization resource efficiency, they also raise significant concerns regarding the security privacy sensitive agricultural data. This research paper delves into intricate landscape precision privacy, aiming identify potential threats, vulnerabilities, corresponding measures necessary for safeguarding farmers' ensuring sustainability practices. The study employs a multidisciplinary approach, combining insights from computer science, agriculture, studies provide comprehensive overview. Through an analysis existing frameworks regulations, this proposes recommendations development implementation robust protocols privacy-enhancing tailored unique challenges agriculture. findings contribute ongoing dialogue on responsible technology adoption emphasizing importance striking balance between innovation protection information era farming.

Язык: Английский

Процитировано

4