Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rahul Mukund Kulkarni"'
Autor:
S. Manivannan, Ashwini Desai, Shaiesh Morajkar, Kiran Puna Patel, G. R. Mahajan, Rahul Mukund Kulkarni, Reshma Sale, Natasha Maria Barnes, B. L. Manjunath, Dayesh Murgaonkar, Sujeet Desai, Ram Ratan Verma, Heena Mulla, Bappa Das, A.M. Latare
Publikováno v:
International Journal of Sediment Research. 36:190-206
Land degradation is becoming a serious problem in the west coast region of India where one of the world's eight biodiversity hotspots, the ‘Western Ghats’, is present. Poor land management practices and high rainfall have led to increasing proble
Autor:
Reshma Sale, Kiran Puna Patel, Dayesh Murgaokar, Rahul Mukund Kulkarni, G. R. Mahajan, Bappa Das, Ashwini Desai, Shaiesh Morajkar
Publikováno v:
Environmental Science and Pollution Research. 27:26221-26238
Soil salinity and acidity are some of the major causes of land degradation and have a negative impact on agricultural productivity. Assessing soil quality (SQ) of soils affected by soil salinity and acidity is required for their sustainable utilizati
Autor:
G. R. Mahajan, Dayesh Murgaokar, Shaiesh Morajkar, Bappa Das, Rahul Mukund Kulkarni, Ashwini Desai, Kiran Puna Patel
Publikováno v:
Environmental Earth Sciences. 80
The coastal ecosystem is one of the most fragile ecosystems to climate change. Soil salinization in these ecosystems due to climate change-induced sea-level rise could be a major threat and constraint to agricultural production. Thus, assessing the s
Autor:
Dayesh Murgaokar, Rabi Narayan Sahoo, Rahul Mukund Kulkarni, Ashwini Desai, Bappa Das, Katja Berger, Ittai Herrmann, Kiran Puna Patel, Shaiesh Morajkar, G. R. Mahajan
Publikováno v:
Remote Sensing, Vol 13, Iss 641, p 641 (2021)
Remote Sensing; Volume 13; Issue 4; Pages: 641
Remote Sensing; Volume 13; Issue 4; Pages: 641
Conventional methods of plant nutrient estimation for nutrient management need a huge number of leaf or tissue samples and extensive chemical analysis, which is time-consuming and expensive. Remote sensing is a viable tool to estimate the plant’s n