From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector

A Hassoun, S Jagtap, H Trollman… - … reviews in food …, 2024 - Wiley Online Library
Although several food‐related fields have yet to fully grasp the speed and breadth of the
fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors …

Artificial intelligence in precision agriculture: A systematic review on tools, techniques, and applications

J Dhakshayani, B Surendiran… - Predictive Analytics in …, 2024 - taylorfrancis.com
Automation in agriculture using information and communication techniques and robotic
devices has recently received much attention. Significant breakthroughs in agricultural …

Crop classification and prediction based on soil nutrition using machine learning methods

T Swathi, S Sudha - International Journal of Information Technology, 2023 - Springer
In India, farmers generally grow a traditional crop or the crop that is in demand resulting in
poor yield. In the former case, the nutritional value of the soil gets deteriorated due to the …

Object detection using deep ensemble model for enhancing security towards sustainable agriculture

P Singh, R Krishnamurthi - International journal of information technology, 2023 - Springer
The protection of crops from intruders (objects) is a critical concern for sustainable
agriculture and reducing crop loss. However, traditional methods relying on human …

Development of a model for estimation of soil parameters using deep learning

SR Wankhade, AB Raut - International Journal of Information Technology, 2024 - Springer
Earlier, crop cultivation was undertaken based on farmers' hands-on expertise. However,
farmers cannot choose suitable crops based on soil and environmental factors. Therefore …

A hybrid deep-based model for scene text detection and recognition in meter reading

AAA Alshawi, J Tanha, MA Balafar… - International Journal of …, 2023 - Springer
Scene text detection and recognition are important tasks. However, scene text detection and
recognition in real world images is one of the most challenging tasks in text mining. This …

Empowering agricultural security with IoT and deep learning driven real-time alert systems

P Singh, R Krishnamurthi - International Journal of Information …, 2024 - Springer
In the realm of smart agriculture, our primary objective is to enhance security in the
agriculture field by combining IoT and computer vision technologies. By leveraging these …

Cyber-Physical Systems for Smart City Applications: A Comparative Study

KD Singh, P Singh, R Chhabra, G Kaur… - … on Advancement in …, 2023 - ieeexplore.ieee.org
Integrating Cyber-Physical Systems (CPS) in smart cities can significantly improve citizens'
quality of life and the overall functioning of urban areas. This study aimed to examine the …

Performance of the K-means and fuzzy C-means algorithms in big data analytics

Z Salman, A Alomary - International Journal of Information Technology, 2024 - Springer
Nowadays, cloud computing is used by most organizations to utilize cloud resources and
services in dealing with big data. Besides, machine learning techniques are applied to …

Data analytics in agriculture: Predictive models and real‐time decision‐making

R Kumar, HK Channi, HK Banga - … AI, and internet of things (IoT …, 2024 - Wiley Online Library
The agricultural sector increasingly uses data analytics to help with decision‐making.
Predictive models and real‐time decision‐making are essential components of data …