CORTEXA
← Browse
openalexZenodo (CERN European Organization for Nuclear Research)Cited by 0

Artificial Intelligence in Plant Sciences

Dr. Nupur Prasad

Artificial intelligence (AI) may be referred to as a family of technologies which allow computers and other machines to perform the tasks that were previously dependent on human intelligence. In order to perform the tasks autonomously, the machines learn from large volumes of input data and involve the use of machine learning algorithms. It attempts to mimic the process of human learning in which a person gradually develops knowledge and skills by continuous trial and error method. Due to the ability of AI to perform intelligent tasks, it finds a number of opportunities for application in diverse fields including plant sciences. In this chapter, let us try to gain a basic understanding of artificial intelligence and its applications with special reference to plant sciences.

Also available via: European Organization for Nuclear Research

View free PDFSource page

Related papers

openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-08-09

Artificial Intelligence in Library and Information Science Education: An Indian Context

Laxmibai S. Kattimani, Nandeesha B.

This paper assesses the current situation of Artificial Intelligence in Library and Information Science education in India. It discusses the advantages of using Artificial Intelligence in this field. The studies are based on a review of the academic courses framework, institution…

Also available via: European Organization for Nuclear Research

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-08-09

Artificial Intelligence for Supply Chain Optimization and Inventory Management

Mahantesh G. Puranikmath

Artificial intelligence driven supply chain and inventory management enhances accuracy, reduces costs, and improves efficiency by leveraging machine learning, predictive analytics, and computer vision.The artificial intelligence optimizes stock levels, reduces forecasting errors…

Also available via: European Organization for Nuclear Research

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23

EL-RAKHAWI SOVEREIGN JURISPRUDENCE OF ARTIFICIAL INTELLIGENCE LIABILITY A Comprehensive Architecture for Criminal and Civil Responsibility in the Age of Autonomous Systems, Embodied Robotics, and Artificial General Intellig

m el-rakhawi

EL-RAKHAWI SOVEREIGN JURISPRUDENCE OF ARTIFICIAL INTELLIGENCE LIABILITY A Comprehensive Architecture for Criminal and Civil Responsibility in the Age of Autonomous Systems, Embodied Robotics, and Artificial General Intellig

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-08-09

Current Artificial Intelligence (AI) Advancements Are Rapidly Increasing Investment and Significant to GDP Growth

Lepakshaiah S.V.

Artificial Intelligence (AI) advancements are driving a massive, global investment boom in infrastructure such as data centers, semiconductors, and specialized software which is significantly contributing to GDP growth unlike the task-based model of automation that has been appli…

Also available via: European Organization for Nuclear Research

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

AUTONOMOUS ROBOTICS THROUGH DETERMINISTIC (NON-ITERATIVE) ARTIFICIAL INTELLIGENCE: AUTONOMY THROUGH STRUCTURE. INTELLIGENCE THROUGH DETERMINISTIC EQUILIBRIUM.

H.M. Cekirge

Artificial intelligence has achieved remarkable success through optimization-based learning, probabilistic reasoning, deep neural networks, and increasingly complex computational architectures. Despite these advances, many autonomous robotic systems continue to rely on iterative…

View free PDFSource page