Artificial intelligence technology in the agricultural sector: A systematic literature review

E Elbasi, N Mostafa, Z AlArnaout, AI Zreikat… - IEEE …, 2022 - ieeexplore.ieee.org
Due to the increasing global population and the growing demand for food worldwide as well
as changes in weather conditions and the availability of water, artificial intelligence (AI) such …

[HTML][HTML] Enhancing smart farming through the applications of Agriculture 4.0 technologies

M Javaid, A Haleem, RP Singh, R Suman - International Journal of …, 2022 - Elsevier
Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and
moves toward a smarter, more efficient, environmentally responsible agriculture sector …

IoT solutions with artificial intelligence technologies for precision agriculture: definitions, applications, challenges, and opportunities

EEK Senoo, L Anggraini, JA Kumi, BK Luna… - …, 2024 - search.proquest.com
The global agricultural sector confronts significant obstacles such as population growth,
climate change, and natural disasters, which negatively impact food production and pose a …

Development of an IOT-Based Semi-Autonomous Vehicle Sprayer

M Padhiary, SV Tikute, D Saha, JA Barbhuiya… - Agricultural …, 2024 - Springer
Mechanization is essential for improving farming processes to achieve the best possible use
of resources, reduce costs, and increase operational efficiency. Novel spraying methods are …

Internet of things sensors and support vector machine integrated intelligent irrigation system for agriculture industry

GK Kumar, ML Bangare, PM Bangare, CR Kumar… - Discover …, 2024 - Springer
Because there is more demand for freshwater around the world and the world's population is
growing at the same time, there is a severe lack of freshwater resources in the central part of …

A 5G-IoT enabled Big Data infrastructure for data-driven agronomy

F Berto, C Ardagna, M Torrente… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The increasing necessity of efficient and effective agriculture has pushed towards the
development of computer aided techniques, where on-field measurements are used to take …

The Outcomes of Smart Irrigation System using Machine Learning to minimize water usage within the Agriculture Sector

I Lephondo, A Telukdarie, I Munien… - Procedia Computer …, 2024 - Elsevier
The water scarcity challenge has become a global threat to food security and the entire
agricultural value chain at large. Saving water is the most strenuous challenge for farmers …

Enhancing precision agriculture through cyber-physical systems: a functional monitoring platform as decision support tool

ES Picchiotti, S Krik, P Ibba, P Tosato… - … on Metrology for …, 2023 - ieeexplore.ieee.org
The continuous advances in the area of cyber-physical systems (CPSs) have led to the
improvement of various fields, including agriculture. In this sector, high-performance …

Plant disease detection and classification using advanced artificial intelligence and machine learning approaches

LV Reddy, D Ganesh, A Madhavi, I Ahmad… - AIP Conference …, 2024 - pubs.aip.org
The agricultural sector is crucial to the economy. The agricultural sector continues to play a
significant role in India's economy, accounting for around 15% of GDP. In many parts of the …

An Efficient Ensemble Ranking Model for IoT-based Crop-Precision-Prediction (CPP) in Agriculture

P Chintamaneni, S Kodukula - 2024 5th International …, 2024 - ieeexplore.ieee.org
In recent years, agriculture has undergone substantial technical transformation using
Internet of Things and Artificial Intelligence, to realize smoothly production scenarios. In this …