[HTML][HTML] Spatial, spectral and temporal insights: harnessing high-resolution satellite remote sensing and artificial intelligence for early monitoring of wood boring pests …

DK Mahanta, TK Bhoi, J Komal, I Samal, A Mastinu - Plant Stress, 2024 - Elsevier
Globally, biotic factors like insect pests and diseases as well as abiotic factors like fire,
windstorms, and droughts influence the global forest ecosystem. Wood-boring pests (WBPs) …

[HTML][HTML] Advanced Power Converters and Learning in Diverse Robotic Innovation: A Review

R Singh, VSB Kurukuru, MA Khan - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of the integration of advanced power
management systems and learning techniques in the field of robotics. It identifies the critical …

[HTML][HTML] A comprehensive analysis of the advances in Indian Digital Agricultural architecture

A Balkrishna, R Pathak, S Kumar, V Arya… - Smart Agricultural …, 2023 - Elsevier
ICT-based interventions such as smart farming and precision agriculture are helping to
improve the output of traditional agricultural systems and drive them toward sustainability …

[HTML][HTML] Coconut (Cocos nucifera) tree disease dataset: a dataset for disease detection and classification for machine learning applications

S Thite, Y Suryawanshi, K Patil, P Chumchu - Data in Brief, 2023 - Elsevier
Abstract The``Coconut (Cocos nucifera) Tree Disease Dataset''comprises 5,798 images
across five disease categories:``Bud Root Dropping,''``Bud Rot,''``Gray Leaf Spot,''``Leaf …

[HTML][HTML] Integration of technology in agricultural practices towards agricultural sustainability: A case study of Greece

D Kalfas, S Kalogiannidis, O Papaevangelou, K Melfou… - Sustainability, 2024 - mdpi.com
Agricultural technology integration has become a key strategy for attaining agricultural
sustainability. This study examined the integration of technology in agricultural practices …

[HTML][HTML] An Autonomous Navigation Framework for Holonomic Mobile Robots in Confined Agricultural Environments

K Tsiakas, A Papadimitriou, EM Pechlivani… - Robotics, 2023 - mdpi.com
Due to the accelerated growth of the world's population, food security and sustainable
agricultural practices have become essential. The incorporation of Artificial Intelligence (AI) …

[HTML][HTML] Synergy of Patent and Open-Source-Driven Sustainable Climate Governance under Green AI: A Case Study of TinyML

T Li, J Luo, K Liang, C Yi, L Ma - Sustainability, 2023 - mdpi.com
Green AI (Artificial Intelligence) and digitalization facilitate the “Dual-Carbon” goal of low-
carbon, high-quality economic development. Green AI is moving from “cloud” to “edge” …

[HTML][HTML] Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data

I Navrozidis, XE Pantazi, A Lagopodi, D Bochtis… - Remote Sensing, 2023 - mdpi.com
Timely and accurate detection of diseases plays a significant role in attaining optimal
growing conditions of olive crops. This study evaluated the use of two machine learning …

Harnessing Artificial Intelligence for Sustainable Agricultural Development in Africa: Opportunities, Challenges, and Impact

K Gikunda - arXiv preprint arXiv:2401.06171, 2024 - arxiv.org
This paper explores the transformative potential of artificial intelligence (AI) in the context of
sustainable agricultural development across diverse regions in Africa. Delving into …

[PDF][PDF] Machine vision and artificial intelligence for plant growth stress detection and monitoring: A review

S Islam, MN Reza, SA Samsuzzaman, YJ Cho… - Precision …, 2024 - researchgate.net
The agricultural sector faces increasing challenges in ensuring food security and optimizing
crop yield, necessitating innovative solutions for early detection and mitigation of plant …