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Cloud-Fog based framework for drought prediction and forecasting using artificial neural network and genetic algorithm
Drought is one of the most recurrent natural disasters with cataclysmic effects on water
budget, crop production, economic progression and public health. These consequences are …
budget, crop production, economic progression and public health. These consequences are …
Cloud-centric IoT-based green framework for smart drought prediction
Drought is a catastrophic natural disaster with significant impact on financial stability,
hydrological budget, public health, and agricultural productivity. Numerous drought indices …
hydrological budget, public health, and agricultural productivity. Numerous drought indices …
Artificial intelligence-based model for drought prediction and forecasting
Drought is considered as one of the most extremely destructive natural disasters with
catastrophic impact on hydrological balance, agriculture outcome, wildlife habitat and …
catastrophic impact on hydrological balance, agriculture outcome, wildlife habitat and …
[HTML][HTML] Evaluating the potential of Nature-based solutions to mitigate land use and climate change impacts on the hydrology of the Gefersa and Legedadi watersheds …
Study region Surface water supply source of Addis Ababa, the capital city of Ethiopia, relies
primarily on the small reservoirs in Gefersa and Legedadi water supply systems located …
primarily on the small reservoirs in Gefersa and Legedadi water supply systems located …
[KİTAP][B] Develo** an impact-based combined drought index for monitoring crop yield anomalies in the Upper Blue Nile Basin, Ethiopia
Y Bayissa - 2018 - taylorfrancis.com
Having a robust drought monitoring system for Ethiopia is crucial to mitigate the adverse
impacts of droughts. Yet, such monitoring system still lacks in Ethiopia, and in the Upper …
impacts of droughts. Yet, such monitoring system still lacks in Ethiopia, and in the Upper …
Exploring the possibilities of remote yield estimation using crop water requirements for area yield index insurance in a data-scarce dryland
The need for accurate and meaningful agricultural data as the means of making vibrant
policies and informed decisions, is an increasing concern for policymakers in develo** …
policies and informed decisions, is an increasing concern for policymakers in develo** …
Design efficient model to increase crop yield using deep learning
Agriculture plays a vital role in the Indian economy. More than 70% to 80% rural households
depend on agriculture. India's agriculture is composed various crops such as the foremost …
depend on agriculture. India's agriculture is composed various crops such as the foremost …
Could spatial features help the matching of textual data?
Textual data is available to an increasing extent through different media (social networks,
companies data, data catalogues, etc.). New information extraction methods are needed …
companies data, data catalogues, etc.). New information extraction methods are needed …
IoT-Inspired Smart Drought Prediction Framework: Machine Learning Approach
D Bhardwaj, G Kaur - International Conference on Machine Learning …, 2024 - Springer
A severe drought may have devastating effects on a region's hydrological balance,
agriculture, animal habitat, and economy, among other things. As a result, a reliable method …
agriculture, animal habitat, and economy, among other things. As a result, a reliable method …
Design and Implementation of Forecast Remedy Technique to Maximize The Yield of Farming Using Deep Learning
India is known as agriculture dominated country. India's agriculture is composed of many
crops, with the foremost essential food being rice and wheat with sugarcane, oilseeds, and …
crops, with the foremost essential food being rice and wheat with sugarcane, oilseeds, and …