Cyber-agricultural systems for crop breeding and sustainable production

S Sarkar, B Ganapathysubramanian, A Singh… - Trends in Plant …, 2024 - cell.com
The cyber-agricultural system (CAS) represents an overarching framework of agriculture that
leverages recent advances in ubiquitous sensing, artificial intelligence, smart actuators, and …

[HTML][HTML] Understanding the potential applications of Artificial Intelligence in Agriculture Sector

M Javaid, A Haleem, IH Khan, R Suman - Advanced Agrochem, 2023 - Elsevier
Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate
healthier crops, manage pests, monitor soil and growing conditions, analyse data for …

Towards sustainable artificial intelligence: an overview of environmental protection uses and issues

A Pachot, C Patissier - arXiv preprint arXiv:2212.11738, 2022 - arxiv.org
Artificial Intelligence (AI) is used to create more sustainable production methods and model
climate change, making it a valuable tool in the fight against environmental degradation …

[PDF][PDF] Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies.

S Sow, S Ranjan, MF Seleiman… - Phyton (0031 …, 2024 - researchgate.net
Agriculture plays a crucial role in the economy, and there is an increasing global emphasis
on automating agricultural processes. With the tremendous increase in population, the …

[HTML][HTML] Artificial intelligence tools for the agriculture value chain: Status and prospects

F Assimakopoulos, C Vassilakis, D Margaris, K Kotis… - Electronics, 2024 - mdpi.com
This article explores the transformative potential of artificial intelligence (AI) tools across the
agricultural value chain, highlighting their applications, benefits, challenges, and future …

[HTML][HTML] Semi-supervised machine learning analysis of crop color for autonomous irrigation

A Tschand - Smart Agricultural Technology, 2023 - Elsevier
Agricultural irrigation wastage, especially from inefficient infrastructure in developing
nations, is among the leading causes of the global water shortage epidemic, which affects …

[PDF][PDF] Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations

AY Ghareeb, SK Gharghan, AH Mutlag, R Nordin - Journal of Techniques, 2023 - iasj.net
Due to rising global population levels and the subsequent need for more food production,
agriculture now consumes more than 70 percent of the world's freshwater resources [1] …

[PDF][PDF] Applications of Artificial Intelligence in Precision Irrigation

A Elshaikh, E Elsheikh, J Mabrouki - Journal of Environmental & …, 2024 - researchgate.net
This paper provides an overview of the various applications of Artificial Intelligence (AI) in
precision irrigation. It covers key research areas, methodologies, challenges, and future …

Unlocking productivity potential: the promising role of agricultural robots in enhancing farming efficiency

AK Rai, N Kumar, D Katiyar… - … of Plant & Soil …, 2023 - repository.journal4submission.com
Integration of advanced robotics in agriculture can exponentially boost productivity, alleviate
labor shortages, reduce the environmental footprint, and increase the overall profitability of …

Urban Water Supply Sustainability and Resilience under Climate Variability: Innovative Paradigms, Approaches and Technologies

AG Capodaglio - ACS ES&T Water, 2024 - ACS Publications
Droughts, a temporary imbalance of water availability due to natural cycles, and water
scarcity, linked to water demand, are interrelated conditions that highlight the impending …