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Thursday, August 16, 2018




Tea is one of the most important beverages in India and major foreign exchange earner. India is the largest producer of tea in the world. The Indian states of Assam, West Bengal, Meghalaya, Tripura and Sikkim in the north-east and Tamil Nadu, Karnataka and Kerala in the south contribute significantly to the overall tea production in the country. Presently there is no structured geo-spatial database available at the national level regarding spatial distribution of all the major, medium and small tea growing areas and the resources prospects and limitations at garden level viz. garden landuse, areas under river bank erosion, vacant areas, health of tea bushes etc.
Remote Sensing data and Geographical Information System (GIS), is emerging as an flexible, efficient, speedy, cost-effective and reliable technology for obtaining information on natural resources analysis and modeling. It is an integral part of data management in large number of application. To demonstrate the strength of satellite technology a pilot study was carried out in Bagdogra area of North Bengal to address the Remote Sensing and GIS (Geographic Information System) capability in tea area development using multi-spectral and multi-resolution satellite data supported by ground intelligence to address precise mapping of the tea gardens with section details, pruning types, shade tree density, garden landuse and gap areas etc. Based upon the encouraging results of the pilot study Tea Board principally agreed upon formally to initiate the project on “Tea area development and management using Remote Sensing and GIS”. Accordingly, a project proposal was prepared keeping in view the requirements at management level as well as in the garden level, various objectives are proposed wherein high resolution satellite data from Indian satellites viz. IRS LISS IV and Cartosat PAN will be used for mapping of different components within the purview of the project objectives.
In this endeavour Tea Board will facilitate the collection of garden maps and relevant data, field survey and interaction with garden managers, and validation of results.
The entire project will be completed in 3 years and once completed it is expected that the information flow across various stake holders will be faster and timely manner to enable various decision making process at Tea Board level. Based on several interactions with tea garden managers few Research and Development component has also been kept in the project apart from operational and capacity building. The R and D component will be based on remote estimation of green leaf yield, forecasting of some of the pests and diseases, surface hydrology and drainage planning etc. The software package that will be developed under this project has been configured as web enabled services ensuring seamless data flow across various stakeholders. At the completion of the project the package will be installed at Tea Board server and continued technical support and training will be provided for developing required skill. Major objectives of the project are given below:
  • Mapping of tea growing areas (major, medium and small) using  gardens.
  • high-resolution Indian satellite data.
  • Analysis of detailed tea garden landuse and mapping.
  • Geo-referencing of tea garden maps with respect to satellite data and creation of spatial garden database.
  • Analysis of canopy density of the shade trees using Cartosat-1 satellite data and mapping to characterize optimal, high or low density classes.
  • Identification of degraded tea areas for uprooting and re-plantation.
  • Generation of fine quality Digital Elevation Model (DEM) using Cartosat-1 satellite stereo pair.
  • Use of Cartosat-1 DEM for generation of potential surface water flow lines for diversion of flood water.
  • Site suitability analysis for new area of tea plantation.
  • Monitoring uprooting and re-plantation activities.
  • Generation of comprehensive database of natural resources and infrastructure of Tea
  • Development of comprehensive web-enabled GIS and MIS for the Tea gardens to establish network between Tea Board, Tea Research Institutes and Tea Gardens for better management and also to provide technical support to Tea gardens.
Benefits for Tea Board
Availability of geographically referenced hardcopy and softcopy digital maps (in cadastral scale) of all the
 tea gardens upto section details including small growers, most of which are unregistered to tea board. Updated information on garden landuse, shade tree density, gap areas, garden areas affected by river bank erosion / changes in the river course. Availability of section / division / garden details including static and dynamic attribute information on the desktop for augmenting informed decision making. To help monitoring uprooting / replantation especially in the low yielding areas of old bushes which is the key to long term competitiveness of the Indian tea industry. Near real time acquisition of information across different tea gardens through web enabled data sharing. Will help regularizing the small growers to enable them to avail financial assistance from TB or from banks / financial institutions. News flash pertaining to different stakeholders through tea board portal. Long term policy formulation.

Benefits for Tea gardens

Availability of value added geographically referenced hardcopy and softcopy digital maps (in cadastral scale) of the garden upto section details. Visualization tool to enable updated information on garden landuse, shade tree density, gap areas, garden areas affected by river bank erosion / changes in the river course. Iso-contours lines of the gardens at 1m interval. Potential drainage lines for disposal of excess runoff / flood water and its routing. Ground water potential and target areas for ground water exploitation in the garden. Better connectivity across TB, TRI, TRA, Tea industry and exchange of information. Availability of section / division / garden detail including static and dynamic attribute information on the desktop for augmenting informed decision making.
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ISRO’s indigenous active microwave satellite RISAT-1 provides unique hybrid polarimetric SAR (RH,RV) data in FRS-1 mode. A study of the potential application of this data for rice crop estimation was done in Achanta mandal of West Godavari district, Andhra Pradesh.



 The data corresponding to reproductive stage of the rice crop was analyzed. The data was subjected to Raney hybrid polarimetric decomposition to understand the contribution of various backscattering mechanisms in the rice crop.





 The decomposition parameters were subjected to supervised minimum distance classification for rice crop discrimination. A comparison was made with spatial distribution of rice crop derived from in-season Resourcesat-2 LISS-IV data
The extent of agreement in spatial distribution was observed to be 85%.




 The commission error in RISAT-1 data was observed due to similar scattering mechanisms from plantations and peripheries of settlements. The study has shown the potential of single date FRS-1 hybrid polarimetric data for rice crop discrimination. Rabi Crop Prospects Mapping – Bharatpur District, Rajasthan is shown in the Figure.
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Crop Acreage Estimation

Well-planned programmes for crop acreage and production forecasts like Crop Acreage and Production Estimation (CAPE) and Forecasting Agricultural Output using Space, Agro-meteorology and Land-based Observations (FASAL) culminated in the establishment of a dedicated Mahalanobis National Crop Forecasting Centre (MNCFC) by Ministry of Agriculture (GoI), for crop inventorying and drought assessment. Crops covered are rice, wheat, cotton, mustard, sugarcane, etc.


Geo-spatial technologies, in combination with modern tools like crop simulation modelling, have the capability to generate the requisite information for crop monitoring, which form a vital input for the decision makers at different levels. IRS satellite-derived and model-generated vegetation indices, rainfall (amount and number of rainy days) and soil data were integrated and the overall crop prospects information at monthly interval was generated.

Friday, August 10, 2018






The 14 States covered under NADAMS are Andhra Pradesh, Bihar, Chhattisgarh, Gujarat, Haryana, Jharkhand, Karnataka, Madhya Pradesh, Maharashtra, Odisha, Rajasthan, Telangana, Tamil Nadu and Uttar Pradesh. The drought assessment for 14 States is carried out at District level. However, out of these 14 States in 5 States (Andhra Pradesh, Haryana, Karnataka, Maharashtra and Telangana) drought assessment is carried out at Sub-District level.

The agriculture drought assessment and monitoring, under NADAMS project, is carried out using multiple satellite data, rainfall, soil moisture index, potential sowing area, irrigation percentage and ground observations. A logical modeling approach is followed to classify the districts into Alert, Watch and Normal during June, July and August and Severe, Moderate and Mild drought conditions during September and October. The monthly Drought Assessment Reports are communicated to all concerned State and national level agencies and also kept on the MNCFC website (www.ncfc.gov.in).NADAMS project provides an early assessment of drought situation and thus helps the State Governments to take remedial measures and also use this information for drought declaration. This way, the assessments provided by NADAMS Project are beneficial for the farmers. But since the benefits accrued to farmers are indirectly as a result of remedial measures taken by the State Governments, so there is no system of collecting actual number of farmers benefited. Hence, no such information is being maintained.

This information was given by the Minister of State for Agriculture and Farmers Welfare, Shri Mohanbhai Kalyanjibhai Kundariya in Lok Sabha today.At the end of the season, the drought information is used as input in the drought declaration process. NRSC team makes special presentation to the MoA and to the States upon their intent. Way forward: Research activities related to improvement of agricultural drought assessment are carried out at NRSC from time to time. In addition to new operational products in the project, a number of research publications have resulted from these activities. With the operational component of NADAMS project is being carried out at “ Mahalanobis National Crop Forecast Centre (MNCCF)” from kharif 2012, NRSC team now enhanced the time spent on Research activities for enhanced products. These activities include development of an integrated approach using multiple parameters, development of methodology for crop sown area estimation, agricultural drought vulnerability assessment, soil water balance analysis, use of Standardized Precipitation Index (SPI), use of SWIR based indices for crop stress detection, drought impact assessment, drought early warning etc.

FORECASTING AGRICULTURE OUTPUT USING SPACE AGRO METEROLOGY AND LAND BASED OBSERATIONS





Well-planned programmes for crop acreage and production forecasts like Crop Acreage and Production Estimation (CAPE) and Forecasting Agricultural Output using Space, Agro-meteorology and Land-based Observations (FASAL) culminated in the establishment of a dedicated Mahalanobis National Crop Forecasting Centre (MNCFC) by Ministry of Agriculture (GoI), for crop inventorying and drought assessment. Crops covered are rice, wheat, cotton, mustard, sugarcane, etc.



AGRICULTURE PROGRAMS AND PROJECTS

MAJOR BENEFITS OF AGRICULTURE

  •   Agricultural policy decisions
  •  Declaration of drought and shortfall in food grain and contingency planning
  •  Support to crop damage-assessment
  •  Advance crop planning and diversification
  •  Timely tailoring  of agronomic practices
  •  Demand-based irrigation scheduling

MAJOR HIGHLIGHTS OF AGRICULTURE

MAJOR HIGHLIGHTS OF AGRICULTURE

  • Establishment of Mahalanobis National Crop Forecast Centre in Department of Agriculture & Cooperation, Ministry of Agriculture, Government of India, for operational use ofspace technology to provide in-season crop forecasts and assessment of drought situation


  •   Crop production forecasting for 8 major crops

  •  National agricultural drought assessment  and monitoring

  •  Country-wide agricultural land-use mapping

  •   Horticultural crop inventor  Agro-meteorological parameter retrieval and inputs to agro-advisory services

  •   Methane emission inventory & carbon accounting
AGRICULTURE





Agriculture.  science, art, or occupation concerned with cultivating land, raising crops, and feeding, breeding, and raising livestock; farming. the production of crops, livestock, or poultry. agronomy.

Agriculture provides employment opportunities for rural people on a large scale in underdeveloped and developing countries. It is an important source of livelihood. ... The rising agricultural surplus caused by increasing agricultural production and productivity tends to improve social welfare, particularly in rural areas.



India's agriculture is composed of many crops, with the foremost food staples being rice and wheat. Indian farmers also grow pulses, potatoes, sugarcane, oil seeds, and such non-food items as cotton, tea, coffee, rubber, and jute (a glossy fiber used to make burlap and twine). India is a fisheries giant as well.



An agricultural product is a product you get when you cultivate plants or animals to sustain or enhance human life.

 We decorate with flowers often produced by agriculture and run our cars in part on ethanol produced by agriculture. We also use agricultural products to make plastics.

Agriculture is the art and science of cultivating the soil, growing crops and raising livestock.

 It includes the preparation of plant and animal products for people to use and their distribution to markets. Agriculture provides most of the world's food and fabrics.As per the 2010 FAO world agriculture statistics India is the world's largest producer of many fresh fruits and vegetables, milk, major spices, select fibrous crops such as jute, staples such as millet and castor oil seed. India is the second largest producer of wheat and rice, the world's major food staples.


Rice in 2012 was the most valuable agricultural crop in the world. It was second to maize (corn) in the quantity produced of cereal products. 

This rice field is in Cambodia.The most planted crops throughout the world are wheat and maize (corn). Rice and soybeans are other key staples. However, these are all relatively low yielding and do not make enough revenue per tonne of product produced. The highest yielding crops are sugar canesugar beet, and tomatoes.

The most planted crops throughout the world are wheat and maize (corn). Rice and soybeans are other key staples. However, these are all relatively low yielding and do not make enough revenue per tonne of product produced. The highest yielding crops are sugar canesugar beet, and tomatoes.