[HTML][HTML] Forecasting of wheat production in Haryana using hybrid time series model

M Devi, J Kumar, DP Malik, P Mishra - Journal of Agriculture and Food …, 2021 - Elsevier
Agriculture plays vital role in Indian economy and employment; India is one of the largest
countries in terms of wheat production and consumption. This research aims to study …

Fusion of multivariate time series meteorological and static soil data for multistage crop yield prediction using multi-head self attention network

A Kaur, P Goyal, R Rajhans, L Agarwal… - Expert Systems with …, 2023 - Elsevier
Yield prediction is helpful for timely harvest management, crop planning, and food security. It
depends on many factors like location, climate, soil characteristics, genotype, etc. The data …

A hybrid ARIMA–WNN approach to model vehicle operating behavior and detect unhealthy states

M Alizadeh, S Rahimi, J Ma - Expert Systems with Applications, 2022 - Elsevier
As modern vehicles system becomes increasingly complex, there is an urgent need to
develop a framework to monitor the behavior and detect the unhealthy states to …

Hybrid online model based multi seasonal decompose for short-term electricity load forecasting using ARIMA and online RNN

NQ Dat, NT Ngoc Anh, N Nhat Anh… - Journal of Intelligent & …, 2021 - content.iospress.com
Short-term electricity load forecasting (STLF) plays a key role in operating the power system
of a nation. A challenging problem in STLF is to deal with real-time data. This paper aims to …

[PDF][PDF] Modeling and forecasting of oilseed production of India through artificial intelligence techniques

S Rathod, KN Singh, SG Patil, RH Naik, M Ray… - Indian J. Agric …, 2018 - epubs.icar.org.in
Indian agriculture has made considerable progress in respect of principle food crops, but the
performance in case of oilseed crops is so far not good as compared to food grains …

Statistical models for forecasting mango and banana yield of Karnataka, India

S Rathod, GC Mishra - Journal of Agricultural Science and …, 2018 - jast.modares.ac.ir
Horticulture sector plays a prominent role in economic growth for most of the develo**
countries. India is the largest producer of fruits and vegetables in the world next only to …

[PDF][PDF] Hybrid time series models for forecasting banana production in Karnataka State, India

S Rathod, GC Mishra, KN Singh - Journal of the Indian Society of …, 2017 - researchgate.net
Autoregressive integrated moving average (ARIMA) technique has been widely used for
forecasting in divergent domains for several decades. One of the main drawbacks of this …

A generalized multimodal deep learning model for early crop yield prediction

A Kaur, P Goyal, K Sharma, L Sharma… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Early crop yield prediction is crucial in agriculture for making administrative plans to ensure
food security, post harvest management and distribution of a crop. Remote sensing data …

A comparative study of series hybrid approaches to model and predict the vehicle operating states

M Alizadeh, J Ma - Computers & Industrial Engineering, 2021 - Elsevier
With the growing complexity of modern vehicle system, the capability of modeling the
behavior of different subsystems and predicting their forthcoming patterns become vital. It …

[PDF][PDF] Time series prediction for sugarcane production in Bihar using ARIMA & ANN model

S Paswan, A Paul, A Paul, AS Noel - The Pharma Innovation …, 2022 - researchgate.net
Agriculture is important to the Indian economy and employment; India is the world's second-
largest producer of sugarcane, which is a key cash crop in Bihar. The main objectives of this …