[HTML][HTML] Artificial intelligence, machine learning and deep learning in advanced robotics, a review

M Soori, B Arezoo, R Dastres - Cognitive Robotics, 2023 - Elsevier
Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have
revolutionized the field of advanced robotics in recent years. AI, ML, and DL are transforming …

The path to smart farming: Innovations and opportunities in precision agriculture

E Karunathilake, AT Le, S Heo, YS Chung, S Mansoor - Agriculture, 2023 - mdpi.com
Precision agriculture employs cutting-edge technologies to increase agricultural productivity
while reducing adverse impacts on the environment. Precision agriculture is a farming …

Internet of Things and wireless sensor networks for smart agriculture applications: A survey

MN Mowla, N Mowla, AFMS Shah, KM Rabie… - IEEe …, 2023 - ieeexplore.ieee.org
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

Carbon dynamics in agricultural greenhouse gas emissions and removals: a comprehensive review

H Kamyab, M SaberiKamarposhti, H Hashim, M Yusuf - Carbon Letters, 2024 - Springer
Agriculture is a pivotal player in the climate change narrative, contributing to greenhouse
gas (GHG) emissions while offering potential mitigation solutions. This study delved into …

Empowering vertical farming through IoT and AI-Driven technologies: A comprehensive review

AS Rathor, S Choudhury, A Sharma, P Nautiyal… - Heliyon, 2024 - cell.com
The substantial increase in the human population dramatically strains food supplies.
Farmers need healthy soil and natural minerals for traditional farming, and production takes …

Blockchain-enabled smart agriculture: Enhancing data-driven decision making and ensuring food security

KU Rehman, S Andleeb, M Ashfaq, N Akram… - Journal of Cleaner …, 2023 - Elsevier
Agriculture plays a vital role in global food security, but conventional practices have led to
environmental degradation and health risks due to excessive use of agricultural nutrients …

Role of internet of things and deep learning techniques in plant disease detection and classification: A focused review

VS Dhaka, N Kundu, G Rani, E Zumpano, E Vocaturo - Sensors, 2023 - mdpi.com
The automatic detection, visualization, and classification of plant diseases through image
datasets are key challenges for precision and smart farming. The technological solutions …

Advanced mango leaf disease detection and severity analysis with federated learning and cnn

S Mehta, V Kukreja, R Yadav - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Worldwide mango production is threatened by mango leaf diseases, resulting in
considerable financial losses. Effective illness management and reduction depend on early …

A novel multi-label pest image classifier using the modified Swin Transformer and soft binary cross entropy loss

Q Guo, C Wang, D Xiao, Q Huang - Engineering Applications of Artificial …, 2023 - Elsevier
As pests can cause heavy crop losses, integrated pest management is a vital aspect of
agriculture. In general, pest recognition is essential to the integrated pest management …

[HTML][HTML] The implementation of “smart” technologies in the agricultural sector: a review

F Assimakopoulos, C Vassilakis, D Margaris, K Kotis… - Information, 2024 - mdpi.com
The growing global population demands an increase in agricultural production and the
promotion of sustainable practices. Smart agriculture, driven by advanced technologies, is …