Results 161 to 170 of about 161,129 (204)
Editorial: Pest-smart strategies for improved eco-efficiency in agriculture, forestry and communities. [PDF]
Frisvold GB +3 more
europepmc +1 more source
Harnessing Beneficial Microbes and Sensor Technologies for Sustainable Smart Agriculture. [PDF]
Rezaee Danesh Y.
europepmc +1 more source
Improved Weighted Quantum Whale Optimization with vision transformer for intrusion detection, atmospheric monitoring and recommendation in smart agriculture. [PDF]
Menaka A, Sakthivel K.
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Proceedings of the Workshop on Interactive Data Mining, 2019
In recent past, there is a growing trend of interest among the downstream stakeholders of a dairy chain to receive milk (and dairy products) of high quality. Moreover, the rejection of milk and other dairy products by customers due to its poor quality has severe negative impacts on the dairy chain's upstream stakeholders.
Atefe Zakeri +4 more
openaire +1 more source
In recent past, there is a growing trend of interest among the downstream stakeholders of a dairy chain to receive milk (and dairy products) of high quality. Moreover, the rejection of milk and other dairy products by customers due to its poor quality has severe negative impacts on the dairy chain's upstream stakeholders.
Atefe Zakeri +4 more
openaire +1 more source
2021
This project allows a user to control all the types of equipment that controls the water quality, temperature, and water cleanliness. Using this project, the user can view the graphically visualized water data like water temperature, turbidity, ph level, oxygen level, and also the project handles all the automation works like filling the tank ...
S. Guruprasad, R. Jawahar, S. Princemary
openaire +1 more source
This project allows a user to control all the types of equipment that controls the water quality, temperature, and water cleanliness. Using this project, the user can view the graphically visualized water data like water temperature, turbidity, ph level, oxygen level, and also the project handles all the automation works like filling the tank ...
S. Guruprasad, R. Jawahar, S. Princemary
openaire +1 more source
2020 7th International Conference on Electrical and Electronics Engineering (ICEEE), 2020
A smart, low-cost and efficient farming system is proposed in this work. Good farm resources management via recent technologies is pursued here in this proposed work such as effective water usage, decreasing human labor, and reducing efforts and errors due to human carelessness.
Mohammad T. Yaseen +2 more
openaire +1 more source
A smart, low-cost and efficient farming system is proposed in this work. Good farm resources management via recent technologies is pursued here in this proposed work such as effective water usage, decreasing human labor, and reducing efforts and errors due to human carelessness.
Mohammad T. Yaseen +2 more
openaire +1 more source
2023
Smart farming uses information and communication technologies in various fields of agriculture. It refers to the use of information and data management technologies in agriculture. Smart farming leads towards high productive and sustainable agricultural production.
Jigna Bhupendra Prajapati +5 more
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Smart farming uses information and communication technologies in various fields of agriculture. It refers to the use of information and data management technologies in agriculture. Smart farming leads towards high productive and sustainable agricultural production.
Jigna Bhupendra Prajapati +5 more
openaire +1 more source
International Journal of Innovative Science and Research Technology
The Smart Farming Assistant is a machine learning-based system designed to aid farmers and agricultural planners in making informed decisions about crop yield and market pricing. The system utilizes advanced algorithms such as XGBoost and Random Forest to predict agricultural outcomes based on soil health, weather patterns, and historical market data ...
Gulam Muddasir Farooqui +2 more
openaire +1 more source
The Smart Farming Assistant is a machine learning-based system designed to aid farmers and agricultural planners in making informed decisions about crop yield and market pricing. The system utilizes advanced algorithms such as XGBoost and Random Forest to predict agricultural outcomes based on soil health, weather patterns, and historical market data ...
Gulam Muddasir Farooqui +2 more
openaire +1 more source

