[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications

S Ghazal, A Munir, WS Qureshi - Artificial Intelligence in Agriculture, 2024 - Elsevier
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …

[HTML][HTML] Impact of Controlled Environment Agriculture (CEA) in Nigeria, a Review of the Future of Farming in Africa

MA Nwanojuo, CK Anumudu, H Onyeaka - Agriculture, 2025 - mdpi.com
The study investigates controlled environment agriculture (CEA) in Nigeria focusing on its
feasibility, economic benefits, environmental impact, and socio-economic implications. While …

[HTML][HTML] Research on detection of wheat tillers in natural environment based on YOLOv8-MRF

M Liang, Y Zhang, J Zhou, F Shi, Z Wang, Y Lin… - Smart Agricultural …, 2025 - Elsevier
To bolster agricultural efficiency and precision, this study introduces the YOLOv8-MRF
model (multi-path coordinate attention, receptive field attention convolution, and Focaler …

Enhanced YOLOv8 algorithm for leaf disease detection with lightweight GOCR-ELAN module and loss function: WSIoU

G Wen, M Li, Y Tan, C Shi, Y Luo, W Luo - Computers in Biology and …, 2025 - Elsevier
Leaf disease detection holds significant application value in the agricultural domain, as
timely and accurate detection of crop leaf disease targets is crucial for improving crop yield …

Transformasi Penyuluhan Pertanian Menuju Society 5.0: Analisis Peran Teknologi Informasi dan Komunikasi

T Tapi, YY Makabori - Journal of …, 2024 - jurnal.polbangtanmanokwari.ac.id
Metode: Metode review jurnal digunakan mengkaji tema utama transformasi penyuluhan
pertanian menuju Society 5.0. Studi terhadap jurnal ilmiah diperoleh dari database jurnal …

Computer vision and Generative AI for yield prediction in Digital Agriculture

S Majumder, Y Khandelwal… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
For the cause of evolution of agriculture to its next generation, the introduction of AI and data-
driven approach is going to be an important part of the agricultural industry that as per our …

Exploration of Computer Vision Systems in the Recognition of Characteristics in Parts in an Industrial Environment

J Rodrigues, J Ribeiro - EPIA Conference on Artificial Intelligence, 2024 - Springer
With the success of the applicability of Artificial Intelligence and Machine Learning (AI/ML),
approaches in the field of computer vision has been highlighted, such as the recognition of …

Optimizing Engineered SynComs for Controlled Environment Agriculture (CEA): From Theory to Commercialization

D Huang - International Journal of Horticulture, 2024 - search.proquest.com
This study synthesizes research findings on the use of Digital Twin architectures, machine
learning models, genetic engineering, and automated control systems to optimize SynComs …

[PDF][PDF] Challenges in Modelling Photosynthesis as a Function of Spectral Photon Flux Density

A Zwenger, J Balasus, S Klir, TQ Khanh - 2024 - tu-ilmenau.de
To establish a sustainable and efficient crop cultivation, independent of season and climate,
artificial lighting remains a critical factor. Artificial lighting can incur a significant …