covid19-forecast-hub-europe/covid19-forecast-hub-europe: None
European Covid-19 Forecast ...
Johannes Bracher +29 more
core +13 more sources
EVALUATION OF PRE-HARVEST PRODUCTION FORECASTING OF MUSTARD CROP IN MAJOR PRODUCING STATES OF INDIA, UNDER FASAL PROJECT [PDF]
Rapeseed-mustard (Brassica spp.) is the major rabi oilseed crop of India. India is fourth largest contributor of oilseeds and Rapeseed-mustard contributing to around 11% of world’s total production and about 28.6% in total oilseeds production of the ...
A. Latwal +6 more
doaj +1 more source
GEOSPATIAL PERSPECTIVE FOR POST-HARVEST INFRASTRUCTURE MANAGEMENT: POSITIONING OF NEW COLD STORAGE [PDF]
The deficiency in post-harvest infrastructure leads to loss of agricultural produce which in turn affects farmer’s income and food security. So, there is a need to improve post-harvest infrastructure in the country.
P. Vijjapu +4 more
doaj +1 more source
AN ANALYSIS OF NATIONAL-STATE-DISTRICT LEVEL ACREAGE AND PRODUCTION ESTIMATES OF RABI SORGHUM UNDER FASAL PROJECT [PDF]
Sorghum (Sorghum vulgare Pers.) popularly known as jowar is the most important food and fodder crop of dry land agriculture. It is generally grown in both Kharif and Rabi season, with sown area of 25.3 and 38.3 lakh ha, respectively, at National level ...
Dolly +6 more
doaj +1 more source
VEGETATION CONDITION INDEX: A POTENTIAL YIELD ESTIMATOR [PDF]
Early yield assessment at local, regional and national scales is a major requirement for various users such as agriculture planners, policy makers, crop insurance companies and researchers.
S. K. Dubey, A. Gavli, Neetu, S. S. Ray
doaj +1 more source
European Covid-19 Forecast Hub
European Covid-19 Forecast ...
Viola Priesemann +121 more
core +1 more source
RICE (KHARIF) PRODUCTION ESTIMATION USING SAR DATA OF DIFFERENT SATELLITES AND YIELD MODELS: A COMPARATIVE ANALYSIS OF THE ESTIMATES GENERATED UNDER FASAL PROJECT [PDF]
Rice is the most important food crop of India. Majority of Rice is sown in kharif season in the country. This is monsoon season for the country where cloud cover poses a major problem for optical remote sensing.
V. Jain +6 more
doaj +1 more source
DETECTION OF BACTERIAL WILT DISEASE (PSEUDOMONAS SOLANCEARUM) IN BRINJAL USING HYPERSPECTRAL REMOTE SENSING [PDF]
Bacterial wilt disease (pathogen: Pseudomonas solancearum) is a major problem affecting brinjal crop. Infected leaves show yellowing, loss in turgidity, drying and ultimately the entire plant collapses.
A. Srivastava +6 more
doaj +1 more source
COMPARISON OF DIFFERENT CLASSIFICATION TECHNIQUES TO IDENTIFY COCONUT GROWING AREAS IN KOZIKHODE DISTRICT, KERALA [PDF]
This study was envisaged to map the coconut growing areas in Kerala state of India, using multidate NDVI obtained from sentinel 2A MSI data, having spatial resolution as 10 m. 95% Cloud free satellite images were taken for classification and date of pass
N. Singh +4 more
doaj +1 more source
Summary: We consider forecasting using a combination, when no model coincides with a non-constant data generation process (DGP). Practical experience suggests that combining forecasts adds value, and can even dominate the best individual device. We show why this can occur when forecasting models are differentially misspecified, and is likely to occur ...
David Hendry, Michael Clements
openaire +2 more sources

