scholarly journals Agrometeorological Advisory Service: A Key to Enhance the Farmers’ Income in Red and Lateritic Zone of Purulia District of West Bengal

2020 ◽  
pp. 55-60
Author(s):  
S. Thakur ◽  
F. H. Rahman ◽  
S. K. Bhattacharjya ◽  
A. Chakraborty ◽  
B. Mahato ◽  
...  
Keyword(s):  
Management Practices ◽  
West Bengal ◽  
Weather Condition ◽  
India Meteorological Department ◽  
Statistical Technique ◽  
Agricultural System ◽  
Net Income ◽  
Advisory Service ◽  
Block Level ◽  
Purulia District

Weather and climate affect the production of an agricultural system as it influences growth and development of crops before and during the cropping season. The Agro-meteorological Advisory Service (AAS) rendered by India Meteorological Department implemented through establishment of District Agromet Unit (DAMU) in different Krishi Vigyan Kendras across the country mainly aims to enhance the farmers’ income by proper utilization of inputs and adopting suitable management practices according to the weather condition. The present study was undertaken to know the usefulness of AAS and assessing the economic benefit through its adoption in day to day farming operation by the farmers. The study was conducted at Jambad village of Purulia district under Red and Lateritic Zone of West Bengal for Kharif rice, groundnut and mustard crop which are predominantly grown in the region during 2019 Kharif and 2019-20 Rabi season. A group of farmers following AAS regularly provided through DAMU were selected randomly from the target village and farmers not following the same were also identified for the study. The economic impact and usefulness of block level AAS has been assessed through analysing the data collected from the selected farmers using suitable statistical technique. The result showed from the study that most of the cases forecasted data is well matched with actual data and hence those farmers who have adopted AAS timely in their farming operation realized more net income as compared to non AAS farmers having the same crop grown in the target village. Thus it can be concluded from the study that AAS is an effective tool for minimizing the crop losses caused due to aberrant weather and played a significant role in enhancing the production and farmers’ income.

scholarly journals Impact Assessment of Block Level Agro Advisories for Saving Input Cost of Farmers under Old Gangetic Plains of West Bengal - A Case Study in Malda

2020 ◽  
pp. 86-96
Author(s):  
Debjyoti Majumder ◽  
Rakesh Roy ◽  
F. H. Rahman ◽  
B. C. Rudra
Keyword(s):  
West Bengal ◽  
Monsoon Season ◽  
India Meteorological Department ◽  
Weather Forecast ◽  
Economic Benefits ◽  
Weather Data ◽  
New Delhi ◽  
Medium Range Weather Forecast ◽  
Net Returns ◽  
Block Level

Biweekly block level Agromet bulletins were disseminated based on medium range weather forecast with an objective to assess the effectiveness and usefulness of Block level Agro Advisory Services (AAS) and quantify the economic benefits through adopting the micro scale agromet advisory in their day to day agricultural operations at Malda, West Bengal. Two farmers groups were considered for the study on the basis of adoption and non-adoption of the agro-met advisories. Crop situation of these farmers were compared with nearby fields having the same crops where forecast were not adopted among non AAS farmers. The entire cost incurred along with yield and net returns were calculated from sowing to marketing of goods. Similarly, the weather forecast and actual weather data received from India Meteorological Department, New Delhi were compared to verify the accuracy of rainfall forecast for the year 2019-20 at GKMS centre, Malda KVK, West Bengal. It was apparent that the value of ratio score was higher during winter (84%) than pre-monsoon (80%), post-monsoon (79%) and monsoon (74%). However, the value of threat score was also found maximum during pre-monsoon season (79%). Statistical analysis like correlation coefficient, RMSE values of wind direction were found too high in all the four seasons to accept any homogeneity in the predicted and observed values. Blockwise verification of rainfall over the year showed the range of accuracy forecast for rainfall in between 67–76%. This forecast directly had a significant role in profit generation among the AAS adaptive farmers whose additional profit enhancement for maize cultivation was between 12% and 19% only towards cost of irrigation as compared to non-adaptive farmers. The study also showcased that the AAS adaptive farmers had a better livelihood as compared to non-AAS adaptive farmers.

scholarly journals Improving efficiency of block-level agrometeorological advisory system by exploiting reuse: A study in Telangana

2021 ◽  
Vol 23 (3) ◽  
pp. 330-339
Author(s):  
MAMATHA ALUGUBELLY ◽  
KRISHNA REDDY POLEPALLI ◽  
BALAJINAIK BANOTH ◽  
SREENIVAS GADE ◽  
ANIRBAN MONDAL ◽  
...  
Keyword(s):  
Weather Condition ◽  
India Meteorological Department ◽  
Weather Forecast ◽  
Weather Data ◽  
Spatial Reuse ◽  
Medium Range Weather Forecast ◽  
Weather Situation ◽  
Block Level ◽  
Block Based ◽  
Level Medium

India Meteorological Department (IMD) has started block-level level agromet advisory (AA) service from the year 2015 and is currently operating in a few blocks of each state across India. In a block-level AA service, on every Tuesday and Friday, AA is being prepared for each block based on the block-level Medium Range weather Forecast (MRF). In this paper, we propose a framework to improve the preparation of blocklevel AA by modeling a weather situation as “Category-based Weather Condition (CWC)” and exploiting both “temporal reuse” and “spatial reuse” of AA based on the similarity among CWCs. The weather data analysis for 12 blocks of Telangana by considering the phenophase-specific CWCs of Rice crop showed that there is a scope to improve the efficiency of block-level AA bulletin preparation process by exploiting reuse.

scholarly journals Comparative Study of Male Female Disparity in Literacy of Purulia and North 24 Parganas District in West Bengal

2021 ◽  
Vol 58 (2) ◽  
pp. 44-55
Author(s):  
Chandra Shekhar Sarkar, Aritra Chakraborty
Keyword(s):  
Comparative Study ◽  
State Government ◽  
Census Data ◽  
West Bengal ◽  
Literacy Rate ◽  
Block Level ◽  
Scheduled Castes ◽  
Purulia District ◽  
Caste Groups ◽  
Disparity Index

The present article focuses on a comparative study of the male-female disparity in literacy of two districts Purulia and North 24 Parganas in West Bengal, India. The Census data of 2011 has been used in this regard. The literacy rate has been calculated for the population above six-year, and Sopher’s Disparity index (1974) has been applied to measure the male-female disparity in literacy. The study examines the block-level male-female disparity in literacy among non-Schedule Caste (none-SC ST), Scheduled Castes (SC), and Scheduled Tribes (ST). The study highlights that North 24 Parganas is far ahead in terms of literacy than Purulia district. However, there is wide variation in block-level male-female disparity in literacy among the three-caste groups in both the districts. In block-level, the Bundwan block of Purulia district and Barasat-I and Deganga block of North 24 Parganas district occupies a remarkable place in terms of the male-female disparity in literacy among each three-caste group. Conversely, Jhalda-II block in Purulia and Hingalganj block of North 24 Parganas is the most backward block in terms of the male-female disparity in literacy among the all-caste groups. Although the Central and the State Government have taken various schemes to enhance literacy rates and eliminated the male-female disparity in education, more suitable steps need to be followed to implement appropriate measures towards education, especially for the women and other marginalised sections of the society.

Micro and Macro-level Analysis of Crop Diversification: Evidence from an Agrarian State West Bengal

2020 ◽  
pp. 489-499
Keyword(s):  
Crop Production ◽  
West Bengal ◽  
Farming Systems ◽  
Field Studies ◽  
Farming System ◽  
Structure Questionnaire ◽  
Crop Diversification ◽  
The Status ◽  
Block Level ◽  
Diversified Farming Systems

The farming system in West Bengal is being shifted by integration between the set of cash crops and the main food harvest process. This change in diversified farming systems, where smallholders have a production base in rice can complement production; affect technical efficiency and farm performance. The goal of this study was to investigate the status of crop diversification on smallholders in West Bengal. First, crop diversification regions were developed in West Bengal based on the Herfindahl index, which were categorized into three regions. Three sample districts were studied separately at the block level, and 915 small farmers from 41 sample villages of 9 sample blocks were interviewed through a good structure questionnaire for field studies from the sample districts. West Bengal was gradually moving towards multiple crop production. Furthermore, increasing rice production reduced the marginal use of inputs for the production of other crops. Farming and other vital factors such as HYVs area to GCA, average holding size and per capita income in some districts of West Bengal can be identified as determinants of crop diversification.

Significance of thermoluminescence of the crystalline limestones of Jabar (Purulia district, West Bengal, India)

1985 ◽  
Vol 10 (1-2) ◽  
pp. 193-199
Author(s):  
Syed H. Akhter ◽  
A.K. Bhattacharya ◽  
D.K.Sen Gupta ◽  
I.K. Kaul
Keyword(s):  
West Bengal ◽  
Purulia District

scholarly journals Studies on fish diversity concerning Hydro-ecology of Kangsabasti river in Purulia district, West Bengal, India

2020 ◽  
Vol 26 (2) ◽  
Author(s):  
Manab Kumar Saha
Keyword(s):  
Fish Species ◽  
Physicochemical Parameters ◽  
West Bengal ◽  
Monsoon Season ◽  
Fish Diversity ◽  
Riverine Ecosystem ◽  
Post Monsoon ◽  
Fish Catch ◽  
Purulia District

Fish diversity depends both on various physicochemical parameters and the biological components of the riverine ecosystem. During the study period from January 2017 to December 2019 the highest fish diversity and density were observed in post-monsoon and lowest in pre-monsoon season in the Kangsabati River, Purulia District of West Bengal. Twenty five fish species, associated with 19 genera, 10 families and 5 orders have been identified. It was recorded that the Cyprinidae was the predominant family, which represented 56% of the entire fish catch.

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