Results 31 to 40 of about 86,826 (305)

ANALYSIS OF REMOTE SENSING-BASED ASSESSMENT OF POTATO STATISTICS AND ITS COMPARISON WITH GOVERNMENT ESTIMATES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Potato (Solanum tuberosum L.) is a major horticultural crop of India. In the present study an effort has been made to evaluate the forecast (area, production and productivity) of potato being carried out under FASAL/CHAMAN project of DAC&FW. For this
P. Kumar   +5 more
doaj   +1 more source

The failure of DAC to induce OCT2 expression and its remission by hemoglobin-based nanocarriers under hypoxia in renal cell carcinoma

open access: yesTheranostics, 2020
Background: Human organic cation transporter 2 (OCT2) is the most abundant and important uptake transporter involved in the renal excretion of cationic drugs.
Lu Chen   +10 more
semanticscholar   +1 more source

AN ANALYSIS OF NATIONAL-STATE-DISTRICT LEVEL ACREAGE AND PRODUCTION ESTIMATES OF RABI SORGHUM UNDER FASAL PROJECT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
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

ASSESSMENT OF RICE BIOMASS PRODUCTION AND YIELD USING SEMI-PHYSICAL APPROACH AND REMOTELY SENSED DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
India is one of the world’s largest producers of rice, accounting for 20% of all world rice production. Rice crop occupies nearly 27.6% of the India’s arable land with average consumption per capita/year was ~68.2 kg milled rice.
M. Dwivedi, S. Saxena, Neetu, S. S. Ray
doaj   +1 more source

Forest Fuel Parameterization and Large-Scale Fire Simulation Modeling Using High- Performance Computing in the Himalayas [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Large-scale forest fire modeling necessitates high-resolution spatial data and complex fuel parameterization, resulting in substantial computational demands.
M. Chavan   +5 more
doaj   +1 more source

BRAZIL'S PRESENCE IN THE DEVELOPMENT AID COMMITTEE: NARRATIVES, REALITIES AND CHALLENGES

open access: yesRevista Tempo do Mundo, 2021
The Brazilian government promotes membership of the Organization for Economic Cooperation and Development (OECD) colloquially and sarcastically called the Club of the Rich.
Carlos Cerda Dueñas
doaj   +1 more source

COMPARISON OF DIFFERENT CLASSIFICATION TECHNIQUES TO IDENTIFY COCONUT GROWING AREAS IN KOZIKHODE DISTRICT, KERALA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
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

Road extraction from satellite images using Deep Learning on HPC [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Road extraction from satellite imagery is required for various applications, such as infrastructure planning, city development, transportation, and disaster response planning.
S. N. R. Karamtoth   +4 more
doaj   +1 more source

Security and Privacy in a DACS

open access: yes, 2016
The management of electronic health records (EHR), in general, and clinical documents, in particular, is becoming a key issue in the daily work of Healthcare Organizations (HO). The need for providing secure and private access to, and storage for, clinical documents together with the need for HO to interoperate, raises a number of issues difficult to ...
Delgado Mercè, Jaime   +3 more
openaire   +5 more sources

A Deep Neural Network (DNN)-Based Waterlogging Detection on Road [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Waterlogging on roads severely impacts transportation safety majorly due to inadequate drainage systems, blocked drainage channels, poor road design and construction, especially in areas with limited or no regular monitoring and maintenance, leading to ...
K. N. Ghogale   +4 more
doaj   +1 more source

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