Cloud-Fog based framework for drought prediction and forecasting using artificial neural network and genetic algorithm

A Kaur, SK Sood - Journal of Experimental & Theoretical Artificial …, 2020 - Taylor & Francis
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 …

Cloud-centric IoT-based green framework for smart drought prediction

A Kaur, SK Sood - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Drought is a catastrophic natural disaster with significant impact on financial stability,
hydrological budget, public health, and agricultural productivity. Numerous drought indices …

Artificial intelligence-based model for drought prediction and forecasting

A Kaur, SK Sood - The Computer Journal, 2020 - academic.oup.com
Drought is considered as one of the most extremely destructive natural disasters with
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 …

Y Bayissa, R Srinivasan, J Hunink, D Nyolei… - Journal of Hydrology …, 2025 - Elsevier
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 …

[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 …

Exploring the possibilities of remote yield estimation using crop water requirements for area yield index insurance in a data-scarce dryland

E Eze, A Girma, A Zenebe, JM Kourouma… - Journal of Arid …, 2020 - Elsevier
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** …

Design efficient model to increase crop yield using deep learning

AH Tidake, Y kumar Sharma… - … on Innovative Trends …, 2019 - ieeexplore.ieee.org
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 …

Could spatial features help the matching of textual data?

J Fize, M Roche, M Teisseire - Intelligent Data Analysis, 2020 - content.iospress.com
Textual data is available to an increasing extent through different media (social networks,
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 …

Design and Implementation of Forecast Remedy Technique to Maximize The Yield of Farming Using Deep Learning

AH Tidake, Y Sharma… - … Conference on Industry …, 2020 - ieeexplore.ieee.org
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 …