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

S Yu, X Liu, Q Tan, Z Wang, B Zhang - Computers and Electronics in …, 2024 - Elsevier
Perceiving the shape and structure of the real three-dimensional world through sensors and
cameras is indispensable across various domains. The 3D reconstruction technology is …

An in-depth review on the concept of digital farming

EE Ammar, SA Aziz, X Zou, SA Elmasry… - Environment …, 2024 - Springer
A revolutionary paradigm change in agriculture is being referred to as “digital” or “precision”
farming, which aims to address issues with global food security while advancing …

[HTML][HTML] Smart agriculture technology: An integrated framework of renewable energy resources, IoT-based energy management, and precision robotics

AU Rehman, Y Alamoudi, HM Khalid, A Morchid… - Cleaner Energy …, 2024 - Elsevier
Modern agricultural practices encounter challenges related to operational efficiency and
environmental effects. This prompts a demand for innovative solutions to foster sustainability …

Unveiling the dynamics of agriculture greenhouse gas emissions: The role of energy consumptions and natural resources

J Mehmood, M Shahbaz, J Wang, MN Malik - Applied Energy, 2025 - Elsevier
Nearly every country has committed to minimizing its energy emissions and sharing climate
change research, particularly on greenhouse gas emissions from agriculture. Therefore, this …

The Coupling and Coordination Degree of Digital Business and Digital Governance in the Context of Sustainable Development

A Kwilinski, O Lyulyov, T Pimonenko - Information, 2023 - mdpi.com
The inexorable march of technological advancement, particularly within the digital domain,
continues to exert a profound influence on global economies, societies, and governance …

An Evaluation of Research Interests in Vertical Farming through the Analysis of KPIs Adopted in the Literature

B Fasciolo, AMM Awouda, N Grasso, G Bruno… - Sustainability, 2024 - mdpi.com
Vertical farming has gained increased attention in recent years due to its capacity to reduce
the environmental impact of agricultural production in terms of water consumption and soil …

Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning …

R Sapkota, A Paudel, M Karkee - arXiv preprint arXiv:2411.11285, 2024 - arxiv.org
Currently, deep learning-based instance segmentation for various applications (eg,
Agriculture) is predominantly performed using a labor-intensive process involving extensive …

Smart farmers' knowledge-oriented leadership and innovation performance: The mediating role of knowledge management, business competency, and innovation …

S Widtayakornbundit, C Luangpituksa - Pakistan Journal of Commerce …, 2023 - econstor.eu
This study focuses on the role of smart farmers in applying what they learned to develop
careers and agritourism business in the localities and investigates the relationship between …

An IoT-enabled penetrometer with constant-rate penetration for accurate measurement of soil cone index

V Mahore, P Soni, P Patidar, R Machavaram - Cogent Engineering, 2024 - Taylor & Francis
Hand-pushed cone penetrometer has been utilized to assess soil compaction based on soil
penetration resistance (SPR). However, the manual operation of these devices can be quite …

Agricultural resource management strategies for greenhouse gas mitigation: The land-energy-food-waste nexus based on system dynamics model

B Yu, X Liu, X Bi, H Sun, J Buysse - Environmental Impact Assessment …, 2025 - Elsevier
Transforming agricultural systems to mitigate climate change challenges is one of China's
most urgent tasks. The land, energy, food and waste nexus (LEFWN) in the agricultural …