Yield forecasting

After the deep drawing of cup-shaped features, the product develops a "earing" due to the anisotropy of the sheet metal. Predicting the formation of "earing" during the deep drawing process is crucial for decreasing this fault. The goal of this work is to forecast the production of "earing" during the deep drawing process of a cup-shaped detail made of stainless steel SUS304 by modeling and experimental results.

8p videadpool 05-05-2023 4 3   Download

This study compares the price predictions of the Vanguard real estate exchangetraded fund (ETF) (VNQ) using the back propagation neural network (BPNN) and autoregressive integrated moving average (ARIMA) models. The input variables for BPNN include the past 3-day closing prices, daily trading volume, MA5, MA20, the S&P 500 index, the United States (US) dollar index, volatility index, 5-year treasury yields, and 10-year treasury yields. In addition, variable reduction is based on multiple linear regression (MLR).

16p mynguyenha 21-07-2021 18 1   Download

The study was based on, an application of discriminant function analysis of Agroclimatic zone for developing suitable statistical models to forecast wheat yield in Ayodhya district of Eastern Utter Pradesh has been demonstrated. The study utilized the crop yield data and corresponding weekly weather data of last 27 years (1990-91 to 2016-17).

7p trinhthamhodang11 27-04-2021 14 1   Download

In this paper, we developed the weather based yield prediction model between weather factors such as maximum temperature (Tmax), minimum temperature (Tmin), relative humidity (RH1), (RH2) and rainfall (RF) observed at Grapes Research station, Theni district during the summer and winter season from 2016 to 2020.

18p trinhthamhodang11 27-04-2021 11 1   Download

To mitigate these losses of kharif sorghum, a field experiment was conducted to find out the suitable sowing date for sustainable yield of rainfed kharif sorghum under erratic behavior of monsoon.

9p caygaocaolon11 21-04-2021 13 2   Download

Forecasting solar irradiance has been an important topic and a trend in renewable energy supply share. Exact irradiance forecasting could help facilitate the solar power output prediction. Forecasting improves the planning and operation of the Photovoltaic (PV) system and the power system, then yields many economic advantages. The irradiance can be forecasted using many methods with their accuracies.

6p caygaocaolon10 05-02-2021 23 1   Download

Chabbra and Haris (2014) compiled the indigenous knowledge related to climatic parameters, their forecasting during different time periods of a year (Nakshatras) based on experiences of the farmers and comparing indigenous knowledge with modern scientific analysis of weather data and their relationship with wheat and rabi maize yield in Patna, Bihar...

7p cothumenhmong9 18-01-2021 9 1   Download

The first picking yield becomes available after about 4 months of sowing the crop while its final harvesting is done after 6 months, the cotton yield forecast on this basis is feasible about 2 months before harvesting.

7p gaocaolon9 22-12-2020 14 2   Download

An experiment was conducted during kharif 2015 and 2016 at Agro met Research Farm of NDUAT as to basis the yield forecast Yield Forecast of rice crop in Eastern U.P. using simulation Model. The genetic coefficients were determined by the Decision Support System for Agro Technology Transfer (DSSAT) model using the identical management and other conditions as in the field experiment for three varieties of rice (Sarooj-52, NDR-359 and Swarna).

5p nguathienthan8 20-10-2020 14 1   Download

The study mainly confined to secondary collected for a period 2009-10 to 2014-15 data of promising varieties of Rice yield. Data collected from various publications, Government of Chhattisgarh were subjected structural time series model. The data are analyzed by using software Statistical Analysis System (SAS). Structural time series model adopted for forecasting purpose is given below.

6p chauchaungayxua8 03-10-2020 9 1   Download

Regression models by Hendrick and Scholl technique were developed on sorghum for Tapi and Surat districts of South Gujarat. The daily weather data were used in the study as indicator in crop yield prediction were collected for a period of 32 years. The 28 year data was used for development of the model. The validation of model was done using data set of 2010, 2011, 2012 and 2013.

7p trinhthamhodang1215 23-09-2020 12 1   Download

The present study was undertaken to investigate the feasibility of estimating the productivity of rice and wheat crops based on weather variables using past weather and yield records of different districts of Central Uttar Pradesh.

6p caygaocaolon7 18-09-2020 10 0   Download

Forecasting of area/yield/production of crops is one of the important aspects in agricultural sector. Crop yield forecasts are extremely useful in formulation of policies regarding stock, distribution and supply of agricultural produce to different areas in the country. In this study the forecast values of area, yield and hence production of rabi pulses are found. ARIMA method should not be used for finding the forecasted values for the testing period as this would increase the uncertainty with the end period of testing data.

8p caygaocaolon6 30-07-2020 8 1   Download

Parameter estimation in statistical modelling plays a crucial role in the real world phenomena. Several alternative analyses may be required for the purpose. An attempt has been made in this paper to estimate the yield of wheat crop using principal components of the weather parameters spread over the crop growth period. Principal component analysis has been used for the purpose of developing zonal yield forecast models because of multicollinearity present among weather variables.

6p nguaconbaynhay6 23-06-2020 9 0   Download

Crop yield models are abstract presentation of interaction of the crop with its environment and can range from simple correlation of yield with a finite number of variables to the complex statistical models with predictive end. The pre-harvest forecasts are useful to farmers to decide in advance their future prospects and course of action. ARIMAX models have been fitted for cotton yield forecasting in Hisar, Fatehabad and Sirsa districts of Haryana.

5p nguaconbaynhay6 23-06-2020 12 0   Download

Pre harvest forecast of agricultural production is essentially required for food security point of view. In this paper attempt has been made to develop model for forecasting the yield of kharif (Groundnut, paddy, maize) and rabi (wheat and mustard) crop of different district of middle Gujarat and north Gujarat using regression technique. The model were developed base on 30 years (1985 to 2015) district wise crop yield and weekly meteorological data and validated with 2 years (2010-11 & 2011-12) and forecast were issued for 2012-13.

9p gaocaolon5 14-06-2020 8 1   Download

The present study has aimed to test the accuracy of Forecast error (FE) value of wheat yield through non-linear models in Bihar. For this study, there were four models namely Monomolecular, Logistic, Gompertz and Compound growth model has been taken under study. The best suitable non-linear model is selected on the basis of different statistic i.e. MAPE, RMSE, OSAF, % FE. These were computed for various growth models under the three agro-climatic zones of Bihar and also for whole Bihar state.

6p angicungduoc5 14-06-2020 15 0   Download

Forecasting of sunflower production is of utmost importance in state of Odisha. Forecasted values of area and yield of sunflower are used to forecast production of sunflower. Forecasting done by the help of best fit regression model is quite reliable. Selecting the appropriate models that would fit the data is done through the help of scatter plot of the data. The model to be considered for best fit has to satisfy the error assumptions and must have all the estimated coefficients significant.

6p angicungduoc5 14-06-2020 11 0   Download

Forecasting stock index has been received great interest because an accurate prediction of stock index may yield benefits and profits for investors, economists and practitioners. The objective of this study is to develop two efficient forecasting models and compare their performances in one day-ahead forecasting the daily Vietnamese stock index.

16p tohitohi 22-05-2020 22 4   Download

The present investigation entitled “Forecast Models of Potato Yield Using Principal Component Analysis for Sultanpur District of Eastern Uttar Pradesh.” Time series data on yield of potato and weekly data from 40th SMW of the previous year to 6th SMW of the following year on five weather variables viz., Minimum Temperature, Maximum Temperature, Relative humidity 08.30hrs, Relative humidity 17.30hrs, and Wind-Velocity covering the period from 1990-91 to 2011-12 have been utilized for development of preharvest forecast model.

6p trinhthamhodang5 16-05-2020 10 0   Download