Predicting the Greenhouse Crop Morphological Parameters Based on RGB-D Computer Vision DOI Creative Commons
Ziqiu Kang, Bo Zhou,

Shulang Fei

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100968 - 100968

Published: April 1, 2025

Language: Английский

Carbon dynamics in agricultural greenhouse gas emissions and removals: a comprehensive review DOI
Hesam Kamyab, Morteza SaberiKamarposhti, Haslenda Hashim

et al.

Carbon letters, Journal Year: 2023, Volume and Issue: 34(1), P. 265 - 289

Published: Dec. 16, 2023

Language: Английский

Citations

62

Comprehensive review: Effects of climate change and greenhouse gases emission relevance to environmental stress on horticultural crops and management DOI
Iftikhar Hussain Shah, Muhammad Aamir Manzoor, Jinhui Wu

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 351, P. 119978 - 119978

Published: Jan. 1, 2024

Language: Английский

Citations

54

An Edge Assisted Internet of Things Model for Renewable Energy and Cost-Effective Greenhouse Crop Management DOI

Nabeel S. Alsharafa,

Sudhakar Sengan, Santhi Sri T

et al.

Journal of Machine and Computing, Journal Year: 2025, Volume and Issue: unknown, P. 576 - 588

Published: Jan. 3, 2025

Improved greenhouse Crop Yields (CY) are now within reach due to the rise of "Smart Farming (SF)" based on Internet Things (IoT). The IoT presents a massive opportunity for precision farming, which has potential increase CY, optimize resource use, and decrease environmental impact agriculture. Kenya's climate challenges but this paper lays out an integrated model that works well growing Capsicum there. A multi-layered system equipped with sensors allows real-time monitoring critical Environmental Factors (EF) in model. For faster responses less dependence distant cloud services, these send data processing layer acts as intermediary uses Edge Computing (EC) management immediate action. analytics successfully reads sensor data, predicts possible scenarios, makes decisions using Random Forest (RF) algorithms improve crop productivity yield. Also, framework's user-friendly interface integrates display control, enabling efficient human communication. impedes cultivation horticultural crops. current study demonstrates hybrid + EC RF substantially improves growth. research establishes standard SF operations by combining advanced demonstrate how develop sustainable adaptive system. This set production proving dynamic environment can be developed applying IoT.

Language: Английский

Citations

3

Enhancing efficiency through integration of geothermal and photovoltaic in heating systems of a greenhouse for sustainable agriculture DOI Creative Commons
Mohammad Ghiasi, Zhanle Wang, Mehran Mehrandezh

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106040 - 106040

Published: Dec. 1, 2024

Language: Английский

Citations

11

Carbonated balsa-based shape-stable phase change materials with photothermal conversion and application in greenhouse DOI
Nan Zhang,

Xiyu Pan,

Zhaoli Zhang

et al.

Solar Energy Materials and Solar Cells, Journal Year: 2024, Volume and Issue: 266, P. 112699 - 112699

Published: Jan. 12, 2024

Language: Английский

Citations

10

Design and experimentation of a solar-powered robot for cleaning the greenhouse roofs DOI Creative Commons
Ahmed F. Amin, Xiaochan Wang, Guoxiang Sun

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102602 - 102602

Published: July 22, 2024

Language: Английский

Citations

9

Linear and non-linear impact of key agricultural components on greenhouse gas emissions DOI Creative Commons
Nazeer Ahmed,

Guo Xinagyu,

Mohamad Alnafissa

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 13, 2025

Agriculture significantly impacts the global environment, contributing to greenhouse gas (GHG) emissions, air and water pollution, biodiversity loss. As population grows demands higher agricultural output, these environmental are expected intensify. Among contributors, China, with its vast prominent sector, plays a leading role in GHG emissions. Understanding mitigating China is crucial for addressing broader challenges. To address key issues, we conducted study on dynamic impact of variables (agricultural land, fertilizer consumption, energy use agriculture, value-added, forest livestock, fisheries, crop production) emissions by utilizing data from 1990 2020, employed linear non-linear autoregressive distributed lag (ARDL NARDL) models. In study, co-integration analysis confirms long-run relationship between variables, long-term findings ARDL model reveal important insights, increased land use, production, livestock fishery production increases can be reduced increasing long term. Furthermore, asymmetric NARDL regression applied three positive shock results confirm that (AGL+), consumption (FC+), (EUA+) contribute However, adverse shocks (AGL−), (FC−), (EUA−) could compress These offer valuable implications Chinese authorities' focus expanding using more renewable energy, minimizing usage chemicals agriculture. measures help mitigate while promoting sustainable practices.

Language: Английский

Citations

1

Efficient energy management and temperature control of a high-tech greenhouse using an improved data-driven model predictive control DOI Creative Commons
Farhat Mahmood, Rajesh Govindan, Tareq Al‐Ansari

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100939 - 100939

Published: Feb. 1, 2025

Language: Английский

Citations

1

Next-generation water-saving strategies for greenhouses using a nexus approach with modern technologies DOI Creative Commons
Hao Zou,

Fan Wang,

Ziya Zeng

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 1, 2025

The escalating food and water crisis, propelled by population growth, urbanization, climate change, demands a reimagining of agricultural practices. Traditional water-saving irrigation methods have reached their limits, necessitating the exploration innovative approaches. This perspective explores potential utilizing excess light in greenhouse cultivation through advanced materials engineering technologies. We investigate four key technologies—sorption-based atmosphere harvesting (SAWH), superabsorbent polymer holding (SPWH), radiative cooling (RC), seawater desalination. proposes suitable application future development directions for conservation, aiming to introduce novel strategies smarter resource management. crisis solutions. Here, authors propose next-generation strategy integrating technologies, including atmospheric harvesting, polymers, cooling, solar-driven

Language: Английский

Citations

1

Advances in Solutions to Improve the Energy Performance of Agricultural Greenhouses: A Comprehensive Review DOI Creative Commons

Rodrigues Pascoal Castro,

Pedro Dinho da Silva, Luís C. Pires

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6158 - 6158

Published: July 15, 2024

The increasing global population and the challenges faced by food production sector, including urbanization, reduction of arable land, climatic extremes, necessitate innovative solutions for sustainable agriculture. This comprehensive review examines advancements in improving energy performance agricultural greenhouses, highlighting innovations thermal efficiency, particularly heating cooling systems. methods include a systematic analysis current technologies their applications optimizing greenhouse design functionality. Key findings reveal significant progress materials techniques that enhance efficiency operational sustainability. identifies gaps knowledge, such as need more research on economic viability new development predictive models various conditions. conclusions emphasize importance integrating renewable advanced control systems to achieve energy-efficient practices.

Language: Английский

Citations

8