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[HTML][HTML] Forecasting of wheat production in Haryana using hybrid time series model
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
largest producer of sugarcane, which is a key cash crop in Bihar. The main objectives of this …