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Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review
The demand for freshwater resources has increased in recent times and has been
exacerbated by escalating global population and increasing drought indices in the world's …
exacerbated by escalating global population and increasing drought indices in the world's …
[HTML][HTML] Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
[HTML][HTML] An overview of smart irrigation management for improving water productivity under climate change in drylands
Global drylands, covering about 41% of Earth's surface and inhabited by 38% of the world's
population, are facing the stark challenges of water scarcity, low water productivity, and food …
population, are facing the stark challenges of water scarcity, low water productivity, and food …
[LIBRO][B] Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond: Second …
T Fujita, F Smarandache - 2024 - books.google.com
The second volume of “Advancing Uncertain Combinatorics through Graphization,
Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” …
Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” …
[HTML][HTML] Implementing sustainable irrigation in water-scarce regions under the impact of climate change
The sustainability of irrigated agriculture is threatening due to adverse climate change, given
future projections that every one in four people on Earth might be suffering from extreme …
future projections that every one in four people on Earth might be suffering from extreme …
DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting
Crop yield forecasting is of great importance to crop market planning, crop insurance,
harvest management, and optimal nutrient management. Commonly used approaches for …
harvest management, and optimal nutrient management. Commonly used approaches for …
[LIBRO][B] Exploring Concepts of HyperFuzzy, HyperNeutrosophic, and HyperPlithogenic Sets (I)
T Fujita, F Smarandache - 2025 - books.google.com
This work investigates the evolution of traditional set theory to address complex and
ambiguous real-world phenomena. It introduces hierarchical hyperstructures and …
ambiguous real-world phenomena. It introduces hierarchical hyperstructures and …
Irrigation with artificial intelligence: problems, premises, promises
Protagonists allege that artificial intelligence (AI) is revolutionising contemporaneous
mindscapes. Here, we authoritatively review the status quo of AI and machine learning …
mindscapes. Here, we authoritatively review the status quo of AI and machine learning …
Analysis of fuzzy applications in the agri-supply chain: A literature review
With the increasing global demand for fresh food, the importance of the mass agri-producing
countries has also increased. Agri-production has undergone a significant transformation …
countries has also increased. Agri-production has undergone a significant transformation …
Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score …
Sample-destructive methods for the determination of plant water status have been the
primary reference for various agronomic practices over the years. Several recent …
primary reference for various agronomic practices over the years. Several recent …