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Jha, B. K.
- Evaluating Fertilizer Applications on Spectral Behaviour of Rice Crop Using Remote Sensing Technique
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Authors
Shashi Bhushan Kumar
1,
Madhukar Kumar
2,
Ashok Kumar
3,
Brajendra
4,
B. K. Jha
4,
A. K. Dwivedi
3,
Rakesh Ranjan
3,
Maya Kumari
3,
Himanshu Singh
3,
Pradeep Prasad
3
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), IN
1 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
3 Department of Soil Science and Agricultural Chemistry, Birsa Agricultural University, Ranchi (Jharkhand), IN
4 ICAR Indian Institute of Rice Research, Hyderabad (Telangana), IN
Source
An Asian Journal of Soil Science, Vol 11, No 1 (2016), Pagination: 126-131Abstract
Present experiments were conducted at the research farm of Indian Agricultural Research Institute, New Delhi during Kharif 1999 and Kharif 2001 to study the influence of nitrogenous fertilizer on the tilth of rice crop by remote sensing technique. Spectral radiance observations of the crop canopy were collected with the Portable Spectroradiometer which scanned from 330 nm to 1100 nm of electromagnetic spectrum range at 5nm interval (band-width). Normalized difference vegetation index was calculated for the both tillage practices, puddle and unpuddled situation at different growth stages for different fertilizer treatment. Fertilized plots were observed to have a higher value of BR than controlled ones throughout the crop growth period, both in puddled and unpuddled treatments. The higher values of band ratio were observed in puddled rice compared to the unpuddled rice irrespective of growth stages and fertilizer application levels. Statistical correlations were developed between NDVI (Normalized difference vegetation index) and RVI (Ratio vegetation index) with LAI (Leaf area index), DM (Dry matter) production and total leaf chlorophyll content. Second order polynomial equations were developed to correlate remotely sensed data with crop biometrics. Polynomial second order equations of 'band ratio' were found to be better fitted than NDVI with crop biometrics.Keywords
NDVI, Puddle, Unpuddled, Rice, Fertilizer.References
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- Application of Agricultural Information Accessed Through Mobile
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Authors
Affiliations
1 Department of Agricultural Extension and Communication, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Krishi Vigyan Kendra (BAU), Garhwa (Jharkhand), IN
1 Department of Agricultural Extension and Communication, Birsa Agricultural University, Ranchi (Jharkhand), IN
2 Krishi Vigyan Kendra (BAU), Garhwa (Jharkhand), IN
Source
Agriculture Update, Vol 13, No 4 (2018), Pagination: 418-421Abstract
Mobile has emerged as the technology whose spread has surpassed all predictions and records. After its successful use in trade, commerce and banking, it is applied in governance and agricultural extension. A number of initiatives like Kisan Call Centre (Toll free number-18001801551), Mobile portal (http://www.mkisan.gov.in), Voice SMS (http://www.iksl.net) has been taken to provide mobile-based services to the farmers. All these initiatives aim at empowering the farmers through agricultural information which the farmers are expected to apply for increasing productivity and profitability. A study was conducted in Jharkhand state of India to ascertain the application of agricultural information accessed through mobile. Data were collected from the purposively selected districts, one each from three agro- climatic zones of Jharkhand on the criteria of mobile user base. The findings revealed satisfactory level of information application. The selected independent variables viz., family education, social participation, extension contact, mass media and IT exposure, attitude towards mobile, annual agricultural income, information needs, knowledge about mobile feature, level of aspiration about mobile and monthly expenditure on mobile service were found positively and significantly correlated with information application at 1 per cent level of probability. Age was found negatively and significantly correlated at 1 per cent level of probability. However, innovation proneness was found positively and significantly correlated at 5 per cent level of probability. The selected independent variables could explain the variability upto 41.6 per cent whereas the variable information needs alone contributed upto 34.6 per cent. Hence, intervention like awareness programme should be undertaken so that felt needs could be expressed and unfelt needs could be converted into felt needs. Extension organizations need to provide more specific and personalized advice.Keywords
Mobile, Agricultural Information, Information Needs, Information Access, Information Application.References
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- http://www.mkisan.gov.in
- http://www.iksl.net
- http://www.iikt.ac.in