Challenges to use machine learning in agricultural big data: a systematic literature review

A Cravero, S Pardo, S Sepúlveda, L Muñoz - Agronomy, 2022 - mdpi.com
Agricultural Big Data is a set of technologies that allows responding to the challenges of the
new data era. In conjunction with machine learning, farmers can use data to address …

Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends

E Avşar, MN Mowla - Ad Hoc Networks, 2022 - Elsevier
IoT based smart agriculture systems are important for efficient usage of lands, water, and
energy resources. Wireless communication protocols constitute a critical part of smart …

Internet of Things and wireless sensor networks for smart agriculture applications: A survey

MN Mowla, N Mowla, AFMS Shah, KM Rabie… - IEEe …, 2023 - ieeexplore.ieee.org
The increasing food scarcity necessitates sustainable agriculture achieved through
automation to meet the growing demand. Integrating the Internet of Things (IoT) and …

IoT framework for measurement and precision agriculture: predicting the crop using machine learning algorithms

K Bakthavatchalam, B Karthik, V Thiruvengadam… - Technologies, 2022 - mdpi.com
IoT architectures facilitate us to generate data for large and remote agriculture areas and the
same can be utilized for Crop predictions using this machine learning algorithm …

Use and adaptations of machine learning in big data—Applications in real cases in agriculture

A Cravero, S Sepúlveda - Electronics, 2021 - mdpi.com
The data generated in modern agricultural operations are provided by diverse elements,
which allow a better understanding of the dynamic conditions of the crop, soil and climate …

Data-driven analysis and machine learning-based crop and fertilizer recommendation system for revolutionizing farming practices

C Musanase, A Vodacek, D Hanyurwimfura… - Agriculture, 2023 - mdpi.com
Agriculture plays a key role in global food security. Agriculture is critical to global food
security and economic development. Precision farming using machine learning (ML) and the …

[HTML][HTML] Intelligent insecticide and fertilizer recommendation system based on TPF-CNN for smart farming

T Thorat, BK Patle, SK Kashyap - Smart Agricultural Technology, 2023 - Elsevier
Nowadays, artificial intelligence and sensor technology play a vital role in the agriculture
field. The use of excess insecticides and fertilizers in farming poses a risk to human health. It …

IoT based smart greenhouse framework and control strategies for sustainable agriculture

MS Farooq, R Javid, S Riaz, Z Atal - IEEE Access, 2022 - ieeexplore.ieee.org
In recent years, the Internet of Things (IoT) has become one of the most familiar names
creating a benchmark and scaling new heights. IoT an indeed future of the communication …

Data type and data sources for agricultural big data and machine learning

A Cravero, S Pardo, P Galeas, J López Fenner… - Sustainability, 2022 - mdpi.com
Sustainable agriculture is currently being challenged under climate change scenarios since
extreme environmental processes disrupt and diminish global food production. For example …

IoT-based privacy-preserving anomaly detection model for smart agriculture

K Kethineni, P Gera - Systems, 2023 - mdpi.com
Internet of Things (IoT) technology has been incorporated into the majority of people's
everyday lives and places of employment due to the quick development in information …