Crop yield forecasting

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

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

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 was carried out to make a suitable forecast model that predicts yield loss occurred due to weeds in wheat crop. The data were taken from the annual report of AICRP-WM centres. Gwalior and Pusa are the two centres in which the work has been carried out. Weed density and weed dry weight were two weed infestation measurements that were considered for model fitting.

5p chauchaungayxua5 08-05-2020 11 1   Download

In the Gujarat State, rice occupies about 7 to 8 per cent of the gross cropped area and accounts for about 14.00 per cent of the total food grain production. Pre harvest forecast may provide useful information to agriculturalists, administration offices and merchants. In the current study statistical crop modeling was engaged to provide forecast in advance harvesting for taking timely pronouncements. In this paper Multiple Linear Regression (MLR) Technique and Discriminant function analysis were derived for estimating average rice production for the district of Surat in south Gujarat.

13p nguaconbaynhay5 11-05-2020 11 0   Download

Pre harvest crop yield forecast is required for storage, pricing, marketing, import, export etc. Weather is the main factor which affects crop yield. Variability in weather causes the losses in the yield. Use of weather can be done for crop production forecast. Weather plays an important role in crop growth. Therefore model based on weather parameters can be provide reliable forecast in advance for crop yield. In this study, the focus was on the development crop yield forecast (CYF) model through stepwise linear regression technique using weather variables and historic crop yield.

4p caygaocaolon4 01-04-2020 11 1   Download

Crop acreage estimation and crop yield forecasting are two components, which are crucial for proper planning and policy making in the agriculture sector of the country. This research is a study model of forecasting area, production and productivity of rice in Thanjavur district as it is a “Rice bowl of Tamil Nadu”. Data for the period of 1990-91 to 2014-15 were analyzed by time series methods.

8p cothumenhmong4 25-03-2020 19 2   Download

Present investigation was conducted at Dr. YS Parmar University of Horticulture and Forestry, Nauni (HP) to study the effect of changing climatic conditions on seed yield of onion (Allium cepa L.) in mid hills of Himachal Pradesh. The meteorological data (30 years) and onion seed yield data (26 years) were collected; correlation and regression analysis between various weather parameters (temperature, rainfall and relative humidity) and onion seed productivity was done for productivity trend analysis.

11p cothumenhmong4 25-03-2020 13 1   Download

The growth of Indian economy mainly depends on agriculture sector as it accounts 18 percent of national GDP. Agriculture sector was one of the main area to impact by climate change. Pre-harvest forecast based on weather parameters plays very important role in developing countries. Rice is the most significant principal food in India which play fundamental role in day-to-day requisite of diet. In the current study statistical crop modeling was engaged to provide forecast in advance.

12p kethamoi2 14-12-2019 19 0   Download

Agricultural sustainability is the highest priority in developed and developing countries. This study aims in discussing the impacts and applications of geospatial information technology in agriculture and allied branches. These advanced technologies offer multi-scale benefits and they can be used to create and synthesize new low-cost information and documents.

9p kequaidan2 11-12-2019 17 0   Download

Remote sensing has several advantages in the field of agronomical research purpose. The assessment of agricultural crop canopies has provided valuable insights in the agronomic parameters. Remote sensing play a significant role in crop classification, crop monitoring and yield assessment. The use of remote sensing is necessary in the field of agronomical research purpose because they are highly vulnerable to variation in soil, climate and other physico- chemical changes.

14p nguaconbaynhay1 04-12-2019 27 2   Download