Forecasting Yield of Major Crops in Different District of Middle Gujarat and North Gujarat Using Statistical Techniques

Yadav, S. B.; Vasani, M.J.; Chaudhari, N. J.; Shitap, Mayur

doi:10.20546/ijcmas.2018.711.246

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Between the actual and predicted value of wheat, mustard and potato crop yield for Aligarh, Baghpat, Barielly, Bijnor, Bulandshahar, Gaziabad, Meerut, Muzaffarnagar, Rampur, Saharnpur and Sahjahnpur Western Uttar Pradesh in used developing the Statistical Model is present in the (Table -5). Results show that in the different 11 districts for the year 2015 and 2016 present of 2015-2016 the percentage error where also calculated that the actual yield and forecasted yield is acceptable ranged between the ±0.1 to 8.9 percent [14].…”

Section: Validation Of Statistical Modelmentioning

confidence: 87%

Use of Statistical Models in Yield Forecasting of Wheat, Mustard and Potato Crop in Western Districts of Uttar Pradesh, India

Singh

Nagar²,

Tanwar³

et al. 2021

IJECC

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Twenty five year (1992 to 2017) of weather data of wheat, mustard and potato crop for 11 districts Aligarh, Baghpat, Barielly, Bijnor, Bulandshahar, Gaziabad, Meerut, Muzaffarnagar, Rampur, Saharnpur and Sahjahnpur of Western Uttar Pradesh were used to develop pre harvest yield prediction model. Every year Agromet Field Unit (AMFU) Modipuram generate district level yield forecasting model for major crops (wheat, mustard and poatato) pre-harvest stage (F3) for the seasons i.e. rabi. Considering the importance of wheat, mustard and potato crop a attempt was made to develop pre harvest yield forecasting models, in the selected 11 districts of western Uttar Pradesh. The models were validated with 2015 and 2016 data set. The results revealed that per harvest for forecasting model had F3 stage R2 values between 0.44 to 0.96 per cent for wheat crop , 0.57 to 0.87 per cent for mustard crop to and 0.54 and 0.99 per cent for Potato crop in the different districts of western Uttar-Pradesh. During both the years of validation the observed yields were in good agreement with forecasted yield for wheat, mustard as well as potato crop.

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Section: Validation Of Statistical Modelmentioning

confidence: 87%

Use of Statistical Models in Yield Forecasting of Wheat, Mustard and Potato Crop in Western Districts of Uttar Pradesh, India

Singh

Nagar²,

Tanwar³

et al. 2021

IJECC

View full text Add to dashboard Cite

show abstract

“…The model results showed up to 90% variation in the yield of groundnuts, 93% variation in the product of paddy, up to 87% variation in maize yield, up to 90% variation in the development of wheat and mustard. The model predicted the product with less than 10% deviation; conclude that this model can be used for yield forecasting (Yadav et al 2018).…”

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confidence: 83%

Impacts of climate variability on growth and variability of agricultural productivity: a review

Kumari

Kanga

2021

Sust. Agric. Food Env. Res.

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In this paper a comprehensive review of different research papers, reports and articles associated with the impacts of the variability of climatic parameters mainly temperature and rainfall on agricultural productivity and its variability. In the high altitude and hilly regions due increase of temperature from low temperature, it makes those regions more favorable to more crop yield. Whereas in the planer region due to the increase of temperature the crop yields are getting affected to a greater extent. The rainfall is also having a great impact on the crop yield. However, due to irregular seasonal patterns, an increase in the number of dry days and extremely high rainy days are affecting the yield of almost every crop. Apart from temperature and rainfall, the crop yields are also affected by greenhouse gases, for example, carbon dioxide, carbon mono-oxide, methane, etc. In opposite to that, the high volume of agricultural practices can decrease the level of greenhouse gases and climate change.

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Forecasting Yield of Major Crops in Different District of Middle Gujarat and North Gujarat Using Statistical Techniques

Cited by 2 publications

References 2 publications

Use of Statistical Models in Yield Forecasting of Wheat, Mustard and Potato Crop in Western Districts of Uttar Pradesh, India

Use of Statistical Models in Yield Forecasting of Wheat, Mustard and Potato Crop in Western Districts of Uttar Pradesh, India

Impacts of climate variability on growth and variability of agricultural productivity: a review

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