From google gemini to openai q*(q-star): A survey of reshaping the generative artificial intelligence (ai) research landscape

TR McIntosh, T Susnjak, T Liu, P Watters… - arXiv preprint arXiv …, 2023 - arxiv.org
This comprehensive survey explored the evolving landscape of generative Artificial
Intelligence (AI), with a specific focus on the transformative impacts of Mixture of Experts …

Modern-age Agriculture with Artificial Intelligence: A review emphasizing Crop Yield Prediction

P Sharma, P Dadheech - 2023 - catalog.lib.kyushu-u.ac.jp
Agriculture is a key employment in several countries throughout the globe. AI is increasingly
becoming a part of agriculture industry as traditional methods are insufficient to supply the …

A novel approach to iot based plant health monitoring system in smart agriculture

M Mudholkar, P Mudholkar… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The study and practice of recognizing and resolving physiological and biologic processes
that prevent plants from reaching their full hereditary potential for applications such as food …

Machine Learning Adoption in Blockchain-Based Smart Applications

V Suthar, V Bansal, CS Reddy… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The development of blockchain technology (BT) in recent years has made it a distinctive,
revolutionary, and popular innovation. Information security and confidentiality are prioritised …

AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns

P Sharma, P Dadheech, AVSK Senthil - Artificial Intelligence Tools …, 2023 - igi-global.com
Agriculture is the foremost factor which is important for the survival of human beings.
Farming contributes to a very big part of GDP; still, several areas exist where improvements …

An analysis of medical images using deep learning

A Jain, MM Krishna, SN Tadiboina… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The use of AI models in health care system and the life sciences is expanding. In this paper,
we will take a look at the present state of the art and address the unanswered issues …

A detailed review of implementation of deep learning approaches for industrial internet of things with the different opportunities and challenges

A Saxena, B Pant, J Alanya-Beltran… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) has become one of the most rapidly developing
innovative technologies in recent years, with the potential to digitize and connect numerous …

An approach to identify and classify agricultural crop diseases using machine learning and deep learning techniques

I Ahmed, G Habib, PK Yadav - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Automatic identification of diseases and unhealthy areas in plant leaf pictures and
agricultural crop production is made feasible by technology advances that help farmers …

Plant Disease Classification Using Alex Net

K Kewat - 2023 - researchsquare.com
In modern agriculture field, pest and disease identification is a major role of crop cultivation.
Image classification by the use of deep convolutional neural networks of training and …

现代农业领域中计算机视觉技术的运用与发展

秦昌友, 杨艳山, 顾峰玮, 陈盼阳, 秦维彩 - 中国农机化学报, 2023 - zgnjhxb.niam.com.cn
计算机视觉是一个涉及使机器“看到” 的领域. 该技术使用相机和计算机代替人眼来识别,
跟踪和测量目标以进行进一步的图像处理. 随着计算机视觉的发展, 这种技术在现代农业领域 …