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Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 25 September, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 28 September, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 02 October, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 04 October, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
Monitoring Paddy Residue Burning in North India using Satellite Remote Sensing during 2023
No full textNot AvailableThis bulletin provides information on real-time monitoring of paddy residue burning events in the six states of Punjab, Haryana, UP, Delhi, Madhya Pradesh and Rajasthan using satellite remote sensing on 30 September, 2023. This also includes the comparison of burning events of 2023 with that in 2022,2021 and 2020.Bulletin also includes date-wise and cumulative burning events till date for different districts in the six states. The maps of residue burning to show precise location of each residue burning event detected are also uploaded on ICAR KRISHI Geoportal website (http://geoportal.icar.gov.in:8080/geoexplorer/composer/, a part of KRISHI Portal: https://krishi.icar.gov.in initiative)Not Availabl
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No full textNot AvailableThis newsletter for the period January to June describes various activities undertaken by the Scientists of ICAR-NIVEDI.Not Availabl
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No full textNot AvailableSpecific energy prediction is critically important to enhance field performance of agri cultural implements. It enables optimal utilization of tractor power, reduced inefficiencies, and
identification of comprehensive inputs for designing energy-efficient implements. In this study, A
3-5-1 artificial neural network (ANN) model was developed to estimate specific energy requirement
of a vertical axis rotor type intra-row weeding tool. The depth of operation in soil bed, soil cone index,
and forward/implement speed ratio (u/v) were selected as the input variables. Soil bin investigations
were conducted using the vertical axis rotor (RVA), interfaced with draft, torque, speed sensors, and
data acquisition system to record dynamic forces employed during soil–tool interaction at ranges
of different operating parameters. The depth of operation (DO) had the maximum influence on
the specific energy requirement of the RVA, followed by the cone index (CI) and the u/v ratio. The
developed ANN model was able to predict the specific energy requirements of RVA at high accuracies
as indicated by high R2
(0.91), low RMSE (0.0197) and low MAE (0.0479). Findings highlight the
potential of the ANN as an efficient technique for modeling soil–tool interactions under specific
experimental conditions. Such estimations will eventually optimize and enhance the performance
efficiency of agricultural implements in the field.Not Availabl
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No full textNot AvailableIncreasing demand for shopping and packaging carrier bags has given rise to various issues relating to its disposal as well as to the overall environmental footprint and sustainability of the packaging materials. This study assesses the carbon footprint and life cycle environmental impacts of the production, usage, and disposal of low density polyethylene (LDPE) and two natural fibre carrier bags (jute and kenaf). Life Cycle Assessment study was conducted of all inputs and outputs, aggregated in the form of resources used and environmental emissions, extending from the production of raw materials to the final disposal of the product. The carbon footprint and GHG emissions of jute and kenaf carrier bags were estimated using the CO2, N2O, and CH4 emissions coefficients of inputs. Research literature from life cycle impact assessment (LCIA) results was used to determine the effects of LDPE polyethylene packaging material. It was observed that the global warming potential (GWP) for the production of 1 kg of LDPE (100 micron) carrier bag (39.4 kg CO2eq) is more than 490 times higher than jute and kenaf carrier bags. In general, LDPE materials have the greatest impact on the carbon footprint and resource depletion. The LDPE material also has the highest impacts on indicators of terrestrial ecotoxicity, photochemical oxidation, acidification, and eutrophication as compared to jute and kenaf fibres. Since jute and kenaf are natural fibres, they sequester a substantial quantity of carbon during their agricultural stages. As a result, greenhouse gas (GHG) emission emissions of jute and kenaf were found to be negative. Popularizing the use of jute and kenaf products as alternatives to plastic in industrialised countries would benefit the reduction of plastic waste and its negative environmental effects. Additional production of jute and kenaf fiber, which are already available in major bast fibre producing countries like India and Bangladesh, could meet the demand for fiber-based carrier bags.Not Availabl
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No full textNot AvailableAn investigation was undertaken to prepare wines from the pure and blended juices of Sauvignon Blanc (SB)
and Manjari Naveen (MN) grapes. Juices were blended according to plan, and wines were prepared following the standard vinification procedure and evaluated after two rackings. Alcohol in prepared wines ranged from 11.48 to 12.75 per cent. The acidity, volatile acidity, and pH of wines were within acceptable limits. Observed aroma compounds using ‘GC×GC-TOF/MS’ were mainly related to aroma notes in commercial wines. Wine prepared from T7 (SB-50% + MN 50%) attained a maximum score (4.7 out of 5 points hedonic scale) in overall acceptability. The wine quality got improved when the juices of Sauvignon Blanc and Manjari Naveen were blended before fermentation. However, there is a need to optimize crop load, suitable rootstock, maturity level at harvest, etc., for harnessing the aromatic nature by adopting a suitable juice combination of these two varieties.Not Availabl
