Machine learning based crop water demand forecasting using minimum climatological data

RK Sidhu, R Kumar, PS Rana - Multimedia Tools and Applications, 2020 - Springer
Rice is one of the world's most popular food crops. Since its production is dependent on
intensive water use, water management is critical to ensure sustainability of water resource …

Prediction of irrigation water requirements for green beans-based machine learning algorithm models in arid region

A Mokhtar, N Al-Ansari, W El-Ssawy, R Graf… - Water resources …, 2023 - Springer
Water scarcity is the most obstacle faced by irrigation water requirements, likewise, limited
available meteorological data to calculate reference evapotranspiration. Consequently, the …

A water demand prediction model for central indiana

S Shah, M Hosseini, ZB Miled, R Shafer… - Proceedings of the AAAI …, 2018 - ojs.aaai.org
Due to the limited natural water resources and the increase in population, managing water
consumption is becoming an increasingly important subject worldwide. In this paper, we …

Optimisation of water demand forecasting by artificial intelligence with short data sets

RG Perea, EC Poyato, P Montesinos, JAR Díaz - Biosystems engineering, 2019 - Elsevier
Highlights•Forecasting of daily irrigation water demand model with data available is
limited.•The Bayesian framework approach and GAs were used to find the optimal ANN.•The …

Daily evapotranspiration prediction using gradient boost regression model for irrigation planning

AS Ponraj, T Vigneswaran - The Journal of Supercomputing, 2020 - Springer
Appropriate irrigation planning with reference evapotranspiration (ET o) plays an important
role in managing the water resources for agriculture. This paper presents machine learning …

Irrigation water requirement prediction through various data mining techniques applied on a carefully pre-processed dataset

M Khan, MZ Islam, M Hafeez - Journal of Research …, 2011 - researchoutput.csu.edu.au
Large amount of water in irrigated agriculture is wasted due to poor water management
practices. To improve water management in irrigated areas, models for estimation of future …

[HTML][HTML] Attention is all water need: Multistep time series irrigation water demand forecasting in irrigation disctrics

RG Perea, EC Poyato, JAR Díaz - Computers and Electronics in Agriculture, 2024 - Elsevier
Energy demand, energy cost and water scarcity are three of the main problems in the new
Irrigation districts (ID) where the irrigation distribution networks are pressurized and …

Long short-term memory neural network-based multi-level model for smart irrigation

RK Sidhu, R Kumar, PS Rana - Modern Physics Letters B, 2020 - World Scientific
Rice is a staple food crop around the world, and its demand is likely to rise significantly with
growth in population. Increasing rice productivity and production largely depends on the …

An intelligent irrigation scheduling and monitoring system for precision agriculture application

RKM Math, NV Dharwadkar - International Journal of Agricultural and …, 2020 - igi-global.com
In spite of technological advancements, the farm productivity of Indian agriculture is still on
the lower side. The underlying reason for poor farm productivity in India is due to the …

Irrigation water demand forecasting: A data pre-rocessing and data mining approach based on spatio-temporal data

M Khan, MZ Islam, M Hafeez - The 9th Australasian …, 2011 - researchoutput.csu.edu.au
World population is increasing at a fast rate resulting in huge pressure on limited water
resources. Just about 3% of the earth's total water is freshwater that can be used for various …