Precision irrigation management using machine learning and digital farming solutions
Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …
Wireless sensor networks in agriculture: Insights from bibliometric analysis
A Abdollahi, K Rejeb, A Rejeb, MM Mostafa, S Zailani - Sustainability, 2021 - mdpi.com
This study investigates how wireless sensor network (WSN) applications in agriculture are
discussed in the current academic literature. On the basis of bibliometric techniques, 2444 …
discussed in the current academic literature. On the basis of bibliometric techniques, 2444 …
Towards precision agriculture: IoT-enabled intelligent irrigation systems using deep learning neural network
Recently, precision agriculture has gained substantial attention due to the ever-growing
world population demands for food and water. Consequently, farmers will need water and …
world population demands for food and water. Consequently, farmers will need water and …
LoRa based intelligent soil and weather condition monitoring with internet of things for precision agriculture in smart cities
Urbanization is expected to hold about 50% of the world population by 2050 and there will
be stress on available resources including food and freshwater. Further, inefficient utilization …
be stress on available resources including food and freshwater. Further, inefficient utilization …
[HTML][HTML] A comprehensive and systematic study in smart drip and sprinkler irrigation systems
D Bhavsar, B Limbasia, Y Mori, MI Aglodiya… - Smart Agricultural …, 2023 - Elsevier
Many regions of the world have unpredictable rainfall, making agriculture impossible to
sustain without diverse irrigation technologies. Irrigation has a huge impact on crop …
sustain without diverse irrigation technologies. Irrigation has a huge impact on crop …
Data reduction based on machine learning algorithms for fog computing in IoT smart agriculture
Highlights•It is a challenge to manage a massive amount of data generated by sensors in
IoT.•Combining machine learning with data compression results in a larger data …
IoT.•Combining machine learning with data compression results in a larger data …
[HTML][HTML] IoT-based smart irrigation management system to enhance agricultural water security using embedded systems, telemetry data, and cloud computing
Agriculture, the key sector for food production, faces challenges exacerbated by the growing
global demand for food and the scarcity of water resources. Traditional irrigation methods …
global demand for food and the scarcity of water resources. Traditional irrigation methods …
Data-driven water need estimation for IoT-based smart irrigation: A survey
Precision irrigation plays an important socio-economic and environmental role in our
society, reducing water and electricity consumption and increasing food production. An …
society, reducing water and electricity consumption and increasing food production. An …
Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT
Accurate estimation of Reference Evapotranspiration (ET 0) is important for efficient
management and conservation of irrigation water. Existing methods of ET 0 rate …
management and conservation of irrigation water. Existing methods of ET 0 rate …
Design, implementation, and empirical validation of an IoT smart irrigation system for fog computing applications based on Lora and Lorawan sensor nodes
Climate change is driving new solutions to manage water more efficiently. Such solutions
involve the development of smart irrigation systems where Internet of Things (IoT) nodes are …
involve the development of smart irrigation systems where Internet of Things (IoT) nodes are …