Application of smart techniques, internet of things and data mining for resource use efficient and sustainable crop production

A Ali, T Hussain, N Tantashutikun, N Hussain… - Agriculture, 2023 - mdpi.com
Technological advancements have led to an increased use of the internet of things (IoT) to
enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural …

A comprehensive survey on IoT and AI based applications in different pre-harvest, during-harvest and post-harvest activities of smart agriculture

RK Kasera, S Gour, T Acharjee - Computers and Electronics in Agriculture, 2024 - Elsevier
Today farmers around the world are gradually embracing Smart farming assisted by different
cutting-edge technologies. The Internet of Things (IoT) is playing a major role in the …

An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier

N Deepa, B Prabadevi, PK Maddikunta… - The Journal of …, 2021 - Springer
Recent technological advancements in information and communication technologies
introduced smart ways of handling various aspects of life. Smart devices and applications …

Agricultural Irrigation Recommendation and Alert (AIRA) system using optimization and machine learning in Hadoop for sustainable agriculture

R Veerachamy, R Ramar - Environmental Science and Pollution Research, 2022 - Springer
Abstract Internet of Things (IoT) in the field of agriculture promises to continuously provide
global access to the farming information. The smart agriculture system either gives alert …

Realizing sustainable development via modified integrated weighting MCDM model for ranking agrarian dataset

N Deepa, K Ganesan, K Srinivasan, CY Chang - Sustainability, 2019 - mdpi.com
One of the crucial elements in decision-making is the calculation of criteria weights. In this
paper, a new Modified Integrated Weighting (MIW) method was proposed to combine the …

Location-based augmented reality in-situ visualization applied for agricultural fieldwork navigation

M Zheng, AG Campbell - 2019 IEEE International Symposium …, 2019 - ieeexplore.ieee.org
Nowadays unbalanced crop yield and population growth have led to people worry about a
potential future “Agricultural Crisis”. To increase the arable land use efficiency, this research …

Prediction of fresh herbage yield using data mining techniques with limited plant quality parameters

Ş Çelik, H Tutar, E Gönülal, H Er - Scientific Reports, 2024 - nature.com
The purpose of this study was to ascertain the fresh herbage yield, fertilizer dosage, and
plant characteristics of the Sorghum-Sudangrass hybrid grown in arid and semi-arid regions …

[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 …

Fast attribute reduction by neighbor inconsistent pair selection for dynamic decision tables

C Zhang, H Liu, Z Lu, J Dai - … Journal of Machine Learning and Cybernetics, 2024 - Springer
Attribute reduction is capable of reducing the dimensionality of data and improving the
performance of data mining. As a reasonable representative of relationships between …

Analysis of machine learning algorithms on cancer dataset

B Prabadevi, N Deepa, LB Krithika… - … on emerging trends in …, 2020 - ieeexplore.ieee.org
The most promising of all cancers that are prevailing among and the primary source of
women's deaths worldwide is the cancerous breast cells. Accurate discovery of this type of …