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mestruazioni · 3 years
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fucking cant stand summer already I woke up drowning in my own sweat I hate this shit I hate it take it back I dont want it
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aquahubdotin · 4 years
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All India Ranks ||FISHING CRAFT AND TECHNOLOGY|| Organised by AquaHub||15TH JUNE 2020||
All India Ranks ||FISHING CRAFT AND TECHNOLOGY|| Organised by AquaHub||15TH JUNE 2020||
CONGRATULATIONS TO ALL!!!
TOPPERS OF ALL INDIA MOCK TEST ON FISHING CRAFT AND TECHNOLOGY
RANK SCORE NAME1 92 SUBHAM BAKLI 2 91 AHSAN KAMIL 3 89 SAGAR DATTA 4 88 PORKODI 5 80 SAGAR SHINDE 6 79 GOWRIMANOHARI.R 7 78 D.KAMIL AKAMAD 8 77 BINOD AGRAWAL 9 75 PRAGATI SHETTY 10 73 AJIMOON 11 71 SAMAD SHEIKH 12 71 SAI KISHORE 13 69 SHREELEKHA M…
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bookpiofficial · 4 years
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Impact of Vermicomposting Training Programme on Production, Economics and Employment Generation of Farmer – A Case Study | Chapter 11 | Current Perspective to Economics and Management Vol. 3
Vermicomposting technology is a simple and quick process of converting farm waste into valuable compost which in-turn acts as a source of the organic amendment for improving soil health enhancing crop production, in which certain species of earthworms are used to enhance the process of waste conversion and produce a better end product. Vermicompost has at least four times more plant nutrients than conventional cattle dung compost. Vermicomposting is also act as a source of creating self employment and revenue generation. The technologies available at present in the field of agriculture have no relevance whatsoever if these are not reached and adopted by the farmers for the improvement of crop productivity. Krishi Vigyan Kendra is a district level knowledge centre formed under the policy guidance of Indian Council of Agricultural Research (ICAR) and which acts as the apex body to govern the Transfer of Technology (TOT) across the nation. One of the mandates of such district level knowledge centre is to provide vocational training to the farming individuals’ viz. farmer, farm women, rural youths, and unemployed school drop-outs. The farmers can learn the vermicomposting technology through hands on training and take-up this as a venture for additional income generation apart from crop husbandry and make this as one of the components in Integrated Farming System (IFS) for creating employment. Keeping this in view, the present study was undertaken to analyse the impact of vocational training in specific relevance to vermicomposting technology provided to the intended clientele group during 2012. The crux of the study was focused on the impact indicators like a) change in the level of production b) economics c) additional employment generated etc., on the intended clientele group. The present research study was confined to the operational cum jurisdictional area catered by Krishi Vigyan Kendra of Cuddalore district in the state of Tamil Nadu, India. One of the farmers by name Mr. V. Sekar of Kodukoor village in Cuddalore district attended the vocational training on vermicomposting organized by ICAR- KVK Cuddalore during 2012. Mr. V. Sekar got motivated and started a vermicomposting unit of size 6 x 2 x 2 feet with the technical guidance from KVK Cuddalore. The scientific validation of study revealed that Mr. V. Sekar was earning a net annual income of Rs. 1,15,500/- through the sale of vermicompost and earth worms, thereby generating an additional employment of 426 man-days per year. It was concluded that the vocational training and technical backstopping extended by the KVK Cuddalore was the most viable technology transformation tool in enhancing farmers’ income and employment generation.  So, vermi-composting is a potent technology to convert organic waste to valuable product and to provide additional income for farmers. The success of any production system basically depends on need, availability of inputs and marketing channels by which one can market with remunerative price by using locally available resources.  Some of the teething issues like marketing and linkages must be formulated by the policy makers to promote marketing of such farm products to sustain the farmers’ income and soil health in future so as to maintain nature ecology intact.
Author(s) Details
Dr. V. Dhanushkodi ICAR-Krishi Vigyan Kendra, Sirugamani, Tirchirappalli -639 115, Tamil Nadu, India.
G. Porkodi Krishi Vigyan Kendra, Virudhachalam, Cuddalore 606 001, Tamil Nadu, India.
View Volume: http://bp.bookpi.org/index.php/bpi/catalog/book/101
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adalidda · 7 years
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Illustration Photo: Manure used as fertilizer is often spread on fields in excess of crop needs, leading to increased nutrient runoff. (credits: werktuigendagen / eutrophication&hypoxia / Flickr Creative Commons Attribution 2.0 Generic (CC BY 2.0))
Fertilizer Prediction Through Big Data Analytics
Authors: K. K. Kannan, K. P. Porkodi Publisher: Zenodo Terms of Re-use: CC-BY Content Provider: DataCite Metadata Store (German National Library of Science and Technology)
Objective: To predict a suitable fertilizer that yields profitable results for a given plant soil combination with the help of Big Data analytics. A fertilizer is any material of natural or synthetic origin that is applied to soils or to plant tissues to supply one or more plant nutrients essential to the growth of plants. It is the basic source of agricultural crops that helps most of the farmers yield profitable result. The type of soil and the plant plays a vital role in production. Every combination of soil and plant are unique and they require different form of nutrients. So the type of fertilizer required for them also vary. Farmers may not know the exact requirement by the soil or plant until they get the result. Hence, farmer in one region may end up with good yield due to the right selection of fertilizer while farmer in a different region with same type of soil and plant yield improper result. Though, the surveys are useful to find out the right type of fertilizer in some weeks or months, it is not possible to conduct the survey on every plant soil type combination. Hence there is a need to regularly keep track of the fertilizers used by the farmers and make decisions based on them.
Check more https://adalidda.com/posts/2fZRnWsEc4vmrJuxs/fertilizer-prediction-through-big-data-analytics
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