Everything you wanted to know about smart agriculture
The world population is anticipated to increase by close to 2 billion by 2050 causing a rapid
escalation of food demand. A recent projection shows that the world is lagging behind …
escalation of food demand. A recent projection shows that the world is lagging behind …
Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review
This study explores the potential of Precision Agriculture (PA) and Smart Farming (SF) using
cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and …
cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and …
Disruptive technologies in smart farming: an expanded view with sentiment analysis
Smart Farming (SF) is an emerging technology in the current agricultural landscape. The
aim of Smart Farming is to provide tools for various agricultural and farming operations to …
aim of Smart Farming is to provide tools for various agricultural and farming operations to …
Recent trends of smart agricultural systems based on Internet of Things technology: A survey
DA Gzar, AM Mahmood, MKA Al-Adilee - Computers and Electrical …, 2022 - Elsevier
Abstract Internet of Things (IoT) technology can be used to enhance traditional approaches
by combining advanced technologies with sophisticated methodologies aiming to boost …
by combining advanced technologies with sophisticated methodologies aiming to boost …
Application of artificial intelligence in IoT security for crop yield prediction
M Hassan, K Malhotra, M Firdaus - ResearchBerg Review of …, 2022 - researchberg.com
This research explores the application of Artificial Intelligence (AI) in the Internet of Things
(IoT) for crop yield prediction in agriculture. IoT devices, like sensors and drones, collect …
(IoT) for crop yield prediction in agriculture. IoT devices, like sensors and drones, collect …
An IoT low-cost smart farming for enhancing irrigation efficiency of smallholders farmers
Nowadays, agriculture faces several challenges in ensuring food safety. Water scarcity is
one of the main challenges facing farmers in the rainfed agriculture sector, especially during …
one of the main challenges facing farmers in the rainfed agriculture sector, especially during …
An Innovative Smart and Sustainable Low-Cost Irrigation System for Anomaly Detection Using Deep Learning
The agricultural sector faces several difficulties today in ensuring the safety of food supply,
including water scarcity. This study presents the design and development of a low-cost and …
including water scarcity. This study presents the design and development of a low-cost and …
High Altitude Platform Stations Aided Cloud-Computing Solution for Rural-Environment IoT Applications
V Monzon Baeza, M Alvarez Marban - Computer Networks and …, 2022 - orbilu.uni.lu
This work proposes a flexible and scalable Smart Rural (SR) system for gathering and
processing IoT data from remote rural areas with no traditional communication coverage as …
processing IoT data from remote rural areas with no traditional communication coverage as …
A machine learning based model for energy usage peak prediction in smart farms
Context: Energy utilization is one of the most closely related factors affecting many areas of
the smart farm, plant growth, crop production, device automation, and energy supply to the …
the smart farm, plant growth, crop production, device automation, and energy supply to the …
Machine learning and IoT-based smart farming for enhancing the crop yield
S Sundaresan, SD Johnson, VM Bharathy… - Journal of Physics …, 2023 - iopscience.iop.org
The lack of favourable atmospheric conditions leads to the loss of many crops each year. In
India alone, over 11 billion dollars are lost. By combining IoT and machine learning …
India alone, over 11 billion dollars are lost. By combining IoT and machine learning …