An Economic Analysis of Mushroom Marketing in Jammu and Kashmir

Singh, Satyaveer; Kumar, Chandan; Kachroo, Jyoti; Singh, Harminder; Hamid, Naveed; Kumar, Naveen

doi:10.5958/2322-0430.2016.00180.3

Cited by 5 publications

(4 citation statements)

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“…Vascular plant species encountered during the field surveys were collected and tagged and brought to the laboratory and were mounted on herbarium sheets following standard herbarium techniques (Jain and Rao 1976). All the collected specimens were identified up to species level using local floras (Dhar and Kachroo 1983, Bhat 1984, Naqshi et al 1984, Singh and Kachroo 1994, Singh et al 2002).…”

Section: Methodsmentioning

confidence: 99%

Status of Biodiversity in a Protected Area of Kashmir Himalaya: Gulmarg Wildlife Sanctuary

Wani

Pant

2023

Nordic Journal of Botany

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The present study attempts to comprehensively study the floristic elements of Gulmarg Wildlife Sanctuary (GWLS), Kashmir Himalaya. During the present study 364 species of vascular plants belonging to 227 genera and 74 families were recorded from the sanctuary. A total of 18 communities (10 within forest and 8 within alpine zone) were identified. Forest zone of the sanctuary was represented by shady moist, dry, bouldery, rocky, riverine and exposed habitats; whereas the alpine zone was represented by bouldery, riverine and moist and exposed habitats. Of the total 364 reported plant species, 161 species were native to Himalayan region and the remaining i.e. 203 species were non‐natives. Out the total 161 native plant species, 82 were endemic to the Himalayan region. Further, 22 plant species were having threatened status in Jammu and Kashmir. Major threats to biodiversity within the sanctuary include overexploitation, habitat degradation, overgrazing, invasive species, human settlements, huge tourism influx and pollution. In the present study, based on the 'conservation priority index' (CPI) of the plant species, 51 plant species were assessed to be threatened in GWLS. Further, maximum CPI of dry and shady moist habitats and Aesculus indica–Pinus wallichiana mixed and Taxus wallichiana–Prunus cornuta–Aesculus indica mixed communities reveals that proper management of these prioritized habitats and communities would help in maintaining the natural ecosystems and conservation of species of the sanctuary. Present study recommends that awareness about the values of biodiversity for sustenance through organization of training workshops, awareness camps need to be created among the local inhabitants as well as visitors. Further, no in‐depth explorations for community characterization of forest and as well as alpine ecosystems of Kashmir Himalaya have been conducted; present study in the GWLS provides a template, which can be replicated in other protected as well as unprotected areas of the Kashmir Himalaya.

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Section: Methodsmentioning

confidence: 99%

Status of Biodiversity in a Protected Area of Kashmir Himalaya: Gulmarg Wildlife Sanctuary

Wani

Pant

2023

Nordic Journal of Botany

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“…Singh [5] reported that the farmers share in consumer's rupee is observed at 61.01 per cent per quintal and the price received by him was Rs.198. Since the majority of produce was sold through commission markets.…”

Section: Review Of Literaturementioning

confidence: 99%

“…The primary reasons for its price fluctuations are ineffective marketing channels, changes in the demand for maize in the export and poultry industries, inadequate storage facilities, and a lack of markets that are suited. The income of maize producers is impacted by the inefficiencies in the marketing system [5]. Farmers must carefully consider their marketing channels since the channel they choose to dispose of their produce through will determine how much real benefit they receive.…”

Section: Introductionmentioning

confidence: 99%

An Economic Analysis of Marketing Efficiency of Maize in Tamil Nadu, India

L. M

et al. 2024

JOBARI

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Maize plays a significant role in the agricultural economy. Since, growers of maize have numerous marketing-related issues. The present study is made with an objective to identify the major maize marketing channels and analyze its cost incurred, price spread and efficiency. A well-structured interview schedule was used to collect primary data. Price spread analysis and marketing efficiency of maize marketing channels is estimated using Acharya and Shepard approach. The lowest marketing spread were observed in Channel III which was about 13.56 percent (Rs. 200 per quintal) of the consumer price, due to less intervention of intermediaries. Therefore, Channel III is the most efficient one among the identified marketing channels. Besides, Channel III has the highest marketing efficiency and the farmers should choose their marketing channel with the less number of intermediaries where it helps them attain better income.

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“…The saffron also has few other names i.e., Zaffran, Kang, Kang rich and in Sanskrit it is known as ‘Kum-kum’ whereas ‘Koung’ in Kashmiri language. The Kashmir valley of India is the second largest producer of saffron after Iran [ 26 , 28 ]. The key properties of Kashmiri saffron include more broadened and thicker stigmas, customary deep red color, and different flavour as compared to Iranian Saffron, A few samples of Kashmiri Saffron are shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features

Amin

Selwal

Sabha

2023

Multimed Tools Appl

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Saffron is one of the costlier spices that are cultivated in specific regions of the world. Due to its restricted accessibility and more popularity, eventually saffron adulteration is one of the concerning issues in the recent times. It becomes difficult for human vision to discriminate between real and adulterated saffron samples. With the emergence of visual computing and data-driven algorithms, the saffron adulteration prediction systems (SAPS) are designed to predict the original and adulterated saffron samples. However, the majority of the techniques exhibit promising performance but the problem of generalization capabilities (unseen – samples) and scarcity of the saffron databases are still open research challenges. In this work, to overcome these issues, we propose a novel ensemble-based saffron prediction model (SaffNet) using statistical image features for the detection of contamination in the Kashmiri saffron. As data-driven approaches mainly rely on the representative samples, but to the best of our knowledge the standard benchmark datasets for Kashmiri saffron is not available. Therefore, we have created our novel Saffron dataset (Saff-Kash) collected afresh from different parts of Kashmir valley that includes the samples of both the authentic and adulterated saffron classes. The primary aim of the work is to anticipate the adulteration in saffron samples. Thereafter, these images are pre-processed and the dataset is prepared for the proposed SaffNet model. The SaffNet architecture designed using gradient boosting ensemble evaluated on Saff-Kash outperforms the outcomes of individual classifiers i.e., Support vector machine (SVM), decision tree, and K-Nearest neighbor (KNN) with an overall accuracy of 98%. Moreover, the execution time taken by the SaffNet model for training the SVM classifier is 8.56 milliseconds whereas for gradient boosting classifier it is 7.7 milliseconds.

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An Economic Analysis of Mushroom Marketing in Jammu and Kashmir

Cited by 5 publications

References 0 publications

Status of Biodiversity in a Protected Area of Kashmir Himalaya: Gulmarg Wildlife Sanctuary

Status of Biodiversity in a Protected Area of Kashmir Himalaya: Gulmarg Wildlife Sanctuary

An Economic Analysis of Marketing Efficiency of Maize in Tamil Nadu, India

SaffNet: an ensemble-based approach for saffron adulteration prediction using statistical image features

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