State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Query tool For complete information, please visit https://data.gov.

[Metadata] Agricultural Land Use (2015). Source: The University of Hawaii at Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory in conjunction with the Hawaii State Department of Agriculture, 2015.

The purpose of the 2010 land use/land cover data set is to provide a generalized view of how developed land has changed throughout the state, primarily capturing the conversion of resource land to development and characterizing the type of development (e.g. very low density, low density, medium density or high density residential development, commercial, industrial, institutional). Urban Land Uses: 11 Low-density residential - Detached single-family/duplex dwelling units, yards and associated areas. Areas of more than 90 percent single-family/duplex dwelling units, with lot sizes of less than five acres but at least one-half acre (.2 dwelling units/acre to 2 dwelling units/acre). 12 Medium-density residential - Detached single-family/duplex, attached single-unit row housing, yards, and associated areas. Areas of more than 90 percent single-family/duplex units and attached single-unit row housing, with lot sizes of less than one-half acre but at least one-eighth acre (2 dwelling units/acre to 8 dwelling units/acre). 13 High-density residential - Attached single-unit row housing, garden apartments, high-rise apartments/condominiums, mobile home and trailer parks; areas of more than 90 percent high-density residential units, with more than 8 dwelling units per acre. 14 Commercial - Retail and wholesale services. Areas used primarily for the sale of products and services, including associated yards and parking areas. 15 Industrial - Manufacturing and industrial parks, including associated warehouses, storage yards, research laboratories, and parking areas. 16 Institutional - Elementary and secondary schools, middle schools, junior and senior high schools, public and private colleges and universities, military installations (built-up areas only, including buildings and storage, training, and similar areas), churches, medical and health facilities, correctional facilities, and government offices and facilities that are clearly separable from the surrounding land cover. 17 Extractive - Surface mining operations, including sand and gravel pits, quarries, coal surface mines, and deep coal mines. Status of activity (active vs. abandoned) is not distinguished. 18 Open urban land - Urban areas whose use does not require structures, or urban areas where non-conforming uses characterized by open land have become isolated. Included are golf courses, parks, recreation areas (except areas associated with schools or other institutions), cemeteries, and entrapped agricultural and undeveloped land within urban areas. 191 Large lot subdivision (agriculture) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres, with a dominant land cover of open fields or pasture. 192 Large lot subdivision (forest) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres, with a dominant land cover of deciduous, evergreen or mixed forest. Agriculture: 21 Cropland - Field crops and forage crops. 22 Pasture - Land used for pasture, both permanent and rotated; grass. 23 Orchards/vineyards/horticulture - Areas of intensively managed commercial bush and tree crops, including areas used for fruit production, vineyards, sod and seed farms, nurseries, and green houses. 24 Feeding operations - Cattle feed lots, holding lots for animals, hog feeding lots, poultry houses, and commercial fishing areas (including oyster beds). 241 Feeding operations - Cattle feed lots, holding lots for animals, hog feeding lots, poultry houses. 242 Agricultural building breeding and training facilities, storage facilities, built-up areas associated with a farmstead, small farm ponds, commercial fishing areas. 25 Row and garden crops - Intensively managed truck and vegetable farms and associated areas. Forest: 41 Deciduous forest - Forested areas in which the trees characteristically lose their leaves at the end of the growing season. Included are such species as oak, hickory, aspen, sycamore, birch, yellow poplar, elm, maple, and cypr

"Peck, peck, peck, on the warm brown egg. Out comes a neck. Out comes a leg." - Aileen Fisher

Context: According to the United States Department of Agriculture Economic Research Service, U.S. poultry products hold leading positions in both international and domestic meat commodity markets - providing virtually all domestic demand for American chicken meat, eggs, and turkey meat.

Meanwhile, dairy is produced in all 50 States, with the highest-producing States in the western and northern areas of the United States. Dairy farms—largely family-owned and managed—are generally members of producer cooperatives. Over the years, the industry has seen a consistent decline in the number of operations matched by a rise in the number of cows per operation. Dairy products include fluid beverage milk, cheese, butter, ice cream, yogurt, dry milk products, condensed milk, and whey products.

Content: This dataset uses data from the United States Department of Agriculture's annual Agricultural Statistics report which includes data on agricultural production, supplies, consumption, facilities, costs, and returns and is intended as a reference for common use. Estimates made for crops, livestock, and poultry are based on a number of sample surveys. The report is divided by sector (e.g. oilseeds, fats and oils, vegetables and melons, dairy and poultry, etc). Farm expenditures and income, insurance, fertilizer and pesticide, consumption, and conservation and forestry statistics are also included in the report.

Blank data indicates field was not reported at the time.

Dairy Products - Quantity Manufactured - Quantities of specified dairy products manufactured domestically in the United States. Except for ice cream, sherbet, and frozen yogurt, all dairy products are shown in 1,000 pounds. ice cream, sherbet, and frozen yogurt are shown in 1,000 gallons.

Egg Production in the United States - Supply, distribution, and per capita consumption in the United States. All data is in million dozens. Shipments to territories are included in total consumption. Shell eggs and the approximate shell egg equivalent of egg products are only included in the imports and exports fields.

Turkey Production in the United States - Supply, distribution, and per capita consumption in the United States. All data is in million pounds on a ready-to-cook basis. Per capita consumption is in pounds. Shipments to territories are included in consumption. Beginning in 1960, data includes Hawaii and Alaska.

Chicks Hatched by Commercial Hatcheries - Chickens birthed by commercial hatcheries. Beginning Beginning 1961, data includes Hawaii.

To evaluate the impacts of the rural extension policy (PNATER), five territories were selected in three different Brazilian states, including Alto Jequitinhonha (Minas Gerais State), Cantuquiriguaçu (Paraná State), Pontal do Paranapanema (São Paulo State), São Paulo’s Southwestern (São Paulo State), and Vale do Ribeira (Paraná State). An indicator system was elaborated to collect and analyze data from farmers and extension agents in each territory. 12 indicators were proposed to accomplish the desired evaluation. These indicators express the meaningful aspects of the extension reform policy document’s values, principles, and objectives. Data collection instruments were composed of questionnaires focusing on objective questions, allowing only closed answers to identify the interviewee’s perception of his or her reality. The possibilities for responses were elaborated on a five-point Likert scale—from the least to the greatest—asking respondents to indicate how much they agree or disagree, approve or disapprove, or believe to be true or false. The questionnaire for family farmers was composed of 56 questions, encompassing different indicators, among which three were specific for black rural and indigenous communities. The researchers also added questions from the Brazilian Food Insecurity Scale. In total researchers conducted 1,000 interviews with farmers and 87 interviews with extensionists (in some territories the goal of 20 interviews with the extensionists in each territory was not achieved due to the difficulty in contacting them or their unavailability in the study period) in the five territories between August 2014 to January 2015.

India is a country of about one billion people. More than 70 percent of India's population lives in rural areas where the main occupation is agriculture. Indian agriculture is characterized by small farm holdings. The average farm size is only 1.57 hectares. Around 93 percent of farmers have land holdings smaller than 4 ha and they cultivate nearly 55 percent of the arable land. Due to diverse agro-climatic conditions in the country, a large number of agricultural items are produced. Crop diversification is intended to give a wider choice in the production of a variety of crops in a given area so as to expand production related activities on various crops and also to lessen risk. Crop diversification in India is generally viewed as a shift from traditionally grown less remunerative crops. Crop diversification and also the growing of large number of crops are practised in rain fed lands to reduce the risk factor of crop failures due to drought and less rains. Diversification originated from the word ‘Diverge’ which means to move or extend in a different direction from a common point. Crop diversification is essential for an agricultural based economy like Haryana to meet the cash needs of the family as well as to combat risk associated with mono-cropping. Moreover the state is facing problems of decreasing size of farm holdings, decreasing cultivable area, increasing soil salinity as well as rising water tables, imbalanced use of fertilizers and micro-nutrient deficiency, harsh climate, low forest cover (3.52%), considerable area still under rain fed farming (19%), lack of required processing and value addition facilities, storage constraints and off late shortage of labour for farming operations. All these factors are adversely affecting productivity enhancement. Traditionally diversification was used more in the context of a subsistence kind of farming, wherein farmers grew many crops on their farm. The household level food security as also risk was in important consideration in diversification. The farmers with smaller (< 2.0 hac.) farms do practice diversified farming. On quite small holdings often fragmented farmers nation wide allocate their land among seasonal crops, fruits and vegetables ,dairy and perhaps poultry to maximise their household labour utilization and income but the role of women in diversification is still not visible. Keeping all this in view preferential pattern of rural women for crop diversification was studied. The experiment was carried in Bandaheri and Burak villages of Hisar II block of district Hisar, Haryana. Data were collected with the help of structured interview schedule.

The purpose of the 2010 land use/land cover data set is to provide a generalized view of how developed land has changed throughout the state, primarily capturing the conversion of resource land to development and characterizing the type of development (e.g. very low density, low density, medium density or high density residential development, commercial, industrial, institutional). Urban Land Uses: 11 Low-density residential - Detached single-family/duplex dwelling units, yards and associated areas. Areas of more than 90 percent single-family/duplex dwelling units, with lot sizes of less than five acres but at least one-half acre (.2 dwelling units/acre to 2 dwelling units/acre). 12 Medium-density residential - Detached single-family/duplex, attached single-unit row housing, yards, and associated areas. Areas of more than 90 percent single-family/duplex units and attached single-unit row housing, with lot sizes of less than one-half acre but at least one-eighth acre (2 dwelling units/acre to 8 dwelling units/acre). 13 High-density residential - Attached single-unit row housing, garden apartments, high-rise apartments/condominiums, mobile home and trailer parks; areas of more than 90 percent high-density residential units, with more than 8 dwelling units per acre. 14 Commercial - Retail and wholesale services. Areas used primarily for the sale of products and services, including associated yards and parking areas. 15 Industrial - Manufacturing and industrial parks, including associated warehouses, storage yards, research laboratories, and parking areas. 16 Institutional - Elementary and secondary schools, middle schools, junior and senior high schools, public and private colleges and universities, military installations (built-up areas only, including buildings and storage, training, and similar areas), churches, medical and health facilities, correctional facilities, and government offices and facilities that are clearly separable from the surrounding land cover. 17 Extractive - Surface mining operations, including sand and gravel pits, quarries, coal surface mines, and deep coal mines. Status of activity (active vs. abandoned) is not distinguished. 18 Open urban land - Urban areas whose use does not require structures, or urban areas where non-conforming uses characterized by open land have become isolated. Included are golf courses, parks, recreation areas (except areas associated with schools or other institutions), cemeteries, and entrapped agricultural and undeveloped land within urban areas. 191 Large lot subdivision (agriculture) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres, with a dominant land cover of open fields or pasture. 192 Large lot subdivision (forest) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres, with a dominant land cover of deciduous, evergreen or mixed forest. Agriculture: 21 Cropland - Field crops and forage crops. 22 Pasture - Land used for pasture, both permanent and rotated; grass. 23 Orchards/vineyards/horticulture - Areas of intensively managed commercial bush and tree crops, including areas used for fruit production, vineyards, sod and seed farms, nurseries, and green houses. 24 Feeding operations - Cattle feed lots, holding lots for animals, hog feeding lots, poultry houses, and commercial fishing areas (including oyster beds). 241 Feeding operations - Cattle feed lots, holding lots for animals, hog feeding lots, poultry houses. 242 Agricultural building breeding and training facilities, storage facilities, built-up areas associated with a farmstead, small farm ponds, commercial fishing areas. 25 Row and garden crops - Intensively managed truck and vegetable farms and associated areas. Forest: 41 Deciduous forest - Forested areas in which the trees characteristically lose their leaves at the end of the growing season. Included are such species as oak, hickory, aspen, sycamore, birch, yellow poplar, elm, maple, and cypress. 42 Evergreen forest - Forested areas in which the trees are characterized by persistent foliage throughout the year. Included are such species as white pine, pond pine, hemlock, southern white cedar, and red pine. 43 Mixed forest - Forested areas in which neither deciduous nor evergreen species dominate, but in which there is a combination of both types. 44 Brush - Areas which do not produce timber or other wood products but may have cut-over timber stands, abandoned agriculture fields, or pasture. These areas are characterized by vegetation types such as sumac, vines, rose, brambles, and tree seedlings. Water: 50 Water - Rivers, waterways, reservoirs, ponds, bays, estuaries, and ocean. Wetlands: 60 Wetlands - Forested or non-forested wetlands, including tidal flats, tidal and non-tidal marshes, and upland swamps and wet areas. Barren Land: 70 Barren land 71 Beaches - Extensive shoreline areas of sand and gravel accumulation, with no vegetative cover or other land use. 72 Bare exposed rock - Areas of bedrock exposure, scarps, and other natural accumulations of rock without vegetative cover. 73 Bare ground - Areas of exposed ground caused naturally, by construction, or by other cultural processes. Transportation: 80 Transportation - Miscellaneous Transportation features not elsewhere classified.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_LandUseLandCover/MapServer/1**Please note, due to the size of this dataset, you may receive an error message when trying to download the dataset. You can download this dataset directly from MD iMAP Services at: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_LandUseLandCover/MapServer/exts/MDiMapDataDownload**

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. The purpose of the 2010 land use/land cover data set is to provide a generalized view of how developed land has changed throughout the state - primarily capturing the conversion of resource land to development and characterizing the type of development (e.g. very low density - low density - medium density or high density residential development - commercial - industrial - institutional). Urban Land Uses: 11 Low-density residential - Detached single-family/duplex dwelling units - yards and associated areas. Areas of more than 90 percent single-family/duplex dwelling units - with lot sizes of less than five acres but at least one-half acre (.2 dwelling units/acre to 2 dwelling units/acre). 12 Medium-density residential - Detached single-family/duplex - attached single-unit row housing - yards - and associated areas. Areas of more than 90 percent single-family/duplex units and attached single-unit row housing - with lot sizes of less than one-half acre but at least one-eighth acre (2 dwelling units/acre to 8 dwelling units/acre). 13 High-density residential - Attached single-unit row housing - garden apartments - high-rise apartments/condominiums - mobile home and trailer parks; areas of more than 90 percent high-density residential units - with more than 8 dwelling units per acre. 14 Commercial - Retail and wholesale services. Areas used primarily for the sale of products and services - including associated yards and parking areas. 15 Industrial - Manufacturing and industrial parks - including associated warehouses - storage yards - research laboratories - and parking areas. 16 Institutional - Elementary and secondary schools - middle schools - junior and senior high schools - public and private colleges and universities - military installations (built-up areas only - including buildings and storage - training - and similar areas) - churches - medical and health facilities - correctional facilities - and government offices and facilities that are clearly separable from the surrounding land cover. 17 Extractive - Surface mining operations - including sand and gravel pits - quarries - coal surface mines - and deep coal mines. Status of activity (active vs. abandoned) is not distinguished. 18 Open urban land - Urban areas whose use does not require structures - or urban areas where non-conforming uses characterized by open land have become isolated. Included are golf courses - parks - recreation areas (except areas associated with schools or other institutions) - cemeteries - and entrapped agricultural and undeveloped land within urban areas. 191 Large lot subdivision (agriculture) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres - with a dominant land cover of open fields or pasture. 192 Large lot subdivision (forest) - Residential subdivisions with lot sizes of less than 20 acres but at least 5 acres - with a dominant land cover of deciduous - evergreen or mixed forest. Agriculture: 21 Cropland - Field crops and forage crops. 22 Pasture - Land used for pasture - both permanent and rotated; grass. 23 Orchards/vineyards/horticulture - Areas of intensively managed commercial bush and tree crops - including areas used for fruit production - vineyards - sod and seed farms - nurseries - and green houses. 24 Feeding operations - Cattle feed lots - holding lots for animals - hog feeding lots - poultry houses - and commercial fishing areas (including oyster beds). 241 Feeding operations - Cattle feed lots - holding lots for animals - hog feeding lots - poultry houses. 242 Agricultural building breeding and training facilities - storage facilities - built-up areas associated with a farmstead - small farm ponds - commercial fishing areas. 25 Row and garden crops - Intensively managed truck and vegetable farms and associated areas. Forest: 41 Deciduous fore

This data set shows the number of employed persons by status in employment for all states in Malaysia for year 1982 until 2021. The statistics is derived from Labour Force Survey (LFS) which is conducted every month using household approach. Employed persons are those between the working age of 15-64 years old who at any time during the reference week of LFS had worked at least one hour for pay, profit or family gain (as an employer, employee, own-account worker or unpaid family worker). Status in employment refers to the position or status of an employed person within the establishment or organisation for which he/she worked. Employed persons are classified according to the following employment status: a. Employer is a person who operates a business, a plantation or other trade and employs one or more workers to help him. b. Employee is a person who works for a public or private employer and receives regular remuneration such as wages, salary, commission, tips or payment in kind. c. Own account worker a person who operates his own farm, business or trade without employing any paid workers in the conduct of his farm, trade or business. d. Unpaid family worker is a person who works without pay or wages on a farm, business or trade operated by another member of the family. W.P. Labuan is gazzeted as a Federal Territory in 1984 while W.P. Putrajaya is gazzeted as a Federal Territory in 2001. The statistics for W.P. Putrajaya for 2001-2010 is treated as part of Selangor. Statistics for W.P. Putrajaya is available separately since 2011 onwards. LFS was not conducted during the years 1991 and 1994. 0.0 Less than half the smallest unit shown. For example, less than 0.05 per cent.

The United States Department of Agriculture's (USDA), Rural Development (RD) Agency operates a broad range of programs that were formally administered by the Farmers Home Administration to support affordable housing and community development in rural areas. RD helps rural communities and individuals by providing loans and grants for housing and community facilities. RD provides funding for single family homes, apartments for low-income persons or the elderly, housing for farm laborers, childcare centers, fire and police stations, hospitals, libraries, nursing homes and schools. To learn more, visit: https://www.rd.usda.gov/about-rd/agencies/rural-housing-service, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_Rural_Housing_AssetsDate of Coverage: 2018

Situation von Kleinbauernfamilien in Sambia und Einstellungzum Bewässerungssystem. Themen: Familiengröße; Anzahl der Frauen desFamilienoberhaupts; Anzahl der erwachsenen Kinder in derFamilie; Migration von Familienmitgliedern undVerwandtschaftsverhältnis zum Migranten; Ort und Dauer derMigration; Aktivitäten des Migranten; Beitrag des Migranten zumFamilieneinkommen; Farmgröße bzw. Anzahl der Felder;Kultivierung von Gemeindeland; Viehbesitz; Viehverkauf underzielter Preis; Höhe der täglich veräußerten Milchmenge;Verwendung von Kuhdünger; Besitz eines Arbeitsochsens; Besitzlandwirtschaftlicher Ausrüstungsgegenstände; Transporte mitOchsenkarre für andere; Beschäftigung und Entlohnung vonArbeitskräften; Dauer und Art der Beschäftigung vonArbeitskräften sowie Entlohnungsart; gemeinsamelandwirtschaftliche Aktivitäten mit Ehepartner und Art derArbeiten; Lohnarbeit von Familienmitgliedern auf einer anderenFarm; außerlandwirtschaftliche Aktivitäten vonFamilienmitgliedern und Art der Arbeiten; Höhe der jährlichenEinkünfte aus Lohnarbeit und außerlandwirtschaftlichenAktivitäten; Partizipation am Bewässerungssystem; Interesse anunmittelbarer Nutzung neuer bewässerter Flächen; präferierteAuswahlform der Teilnehmer am Bewässerungssystem; geschätzterUmfang selbst zu bewirtschaftender Bewässerungsflächen;Durchführung solcher Bewirtschaftung mit der eigenen Familiebzw. zusätzlich benötigte Arbeitskräfte; Entfernung zu denbewässerten Flächen; Einstellung zur Selbstverwaltung desBewässerungssystems; perzipierte Vor- und Nachteile der mitBewässerung betriebenen Landwirtschaft; erhaltene Anweisungenoder Ratschläge von Beschäftigten der Bewässerungsanlage;präferierter Ansprechpartner bei Ratsuche; Kontaktaufnahme mitVertretern der lokalen bzw. staatlichen Verwaltung; größtewahrgenommene Probleme bezüglich der Arbeits- undLebensbedingungen sowie präferierte Verbesserungen. Teilnehmer am Bewässerungssystem wurden zusätzlich gefragt:Dauer der Teilnahme; geplanter Anbau landwirtschaftlicherProdukte und Gründe für deren Auswahl. Nicht-Teilnehmer am Bewässerungssystem wurden zusätzlichgefragt: Zeitpunkt und Dauer einer früheren Teilnahme; Gründefür Nicht-Teilnahme; Interesse an bewässerter Nutzfläche. Situation of small farming families in Zambia and attitude to the irrigation system. Topics: Size of family; number of wives of head of family; number of adult children in the family; migration of family members and degree of relation to the migrant; location and duration of migration; migrant´s activities; migrant´s contribution to family income; size of farm or number of fields; cultivation of community land; possession of livestock; sales of livestock and price received; amount of milk sold daily; use of cow manure; possession of a work ox; possession of farming equipment; transport for others by ox cart; employing and paying workers; length and type of employment of workers and type of payment; farming activities together with spouse and type of work; paid work by family members on another farm; non-farming activities of family members and type of work; amount of annual income from paid work and non-farming activities; participation in the irrigation system; interest in immediate use of newly irrigated land; preferred form of selecting participants in the irrigation system; estimated extent of irrigated area to be farmed personally; performing such farming with one´s own family or additional workers needed; distance to the irrigated areas; attitude to self-administration of the irrigation system; perceived advantages and disadvantages of farming with irrigation; directions received or advice from employees of the irrigation plant; preferred contact when seeking advice; making contact with representatives of local and state administration; biggest problems perceived regarding working and living conditions as well as preferred improvements. Participants in the irrigation system were additionally asked: length of participation; planned cultivation of agricultural products and reasons for the choice. Non-participants in the irrigation system were additionally asked: time and length of earlier participation; reasons for non-participation; interest in irrigated productive land.

****Labeo Rohita (Rohu) Fish Classification****

Introduction:

The Rohu fish, scientifically known as Labeo rohita, is one of the most economically important freshwater fish species in India, particularly in the state of West Bengal. With its significant cultural, nutritional, and economic value, understanding the Rohu fish is crucial for various stakeholders, including fishermen, policymakers, and consumers. This Kaggle writeup provides an in-depth analysis of the Rohu fish, highlighting its scientific characteristics, importance in India, and its specific significance in West Bengal.

Scientific Overview:

The Rohu fish, belonging to the family Cyprinidae, is native to rivers and lakes across South Asia, including India, Bangladesh, Nepal, and Pakistan. It is characterized by its silver-colored body with a slightly arched head and upturned mouth. Rohu is a freshwater species, thriving in rivers, reservoirs, and ponds with moderate water flow and abundant vegetation.

Importance in India:

1. Cultural Significance: Rohu holds cultural significance in Indian cuisine and traditions, being a popular choice for various culinary preparations, especially during festivals and celebrations.
2. Nutritional Value: Rich in protein, vitamins, and essential minerals, Rohu fish is a staple source of nutrition for millions of people across India, contributing to food security and addressing malnutrition concerns.
3. Economic Contribution: The commercial cultivation and trade of Rohu fish contribute significantly to the Indian economy, providing livelihoods for millions of fishermen, aqua culturists, and associated industries.

Significance in West Bengal:

1. Cuisine: In West Bengal, Rohu fish plays a central role in the traditional Bengali cuisine, featuring prominently in dishes such as "Rohu Machher Jhol" (Rohu fish curry) and "Rohu Bhapa" (steamed Rohu fish).
2. Economic Activity: The cultivation and sale of Rohu fish are integral to the economy of West Bengal, with numerous fish farms and fisheries operating across the state, particularly in districts like Hooghly, Nadia, and North 24 Parganas.
3. Cultural Heritage: Rohu fish is deeply embedded in the cultural heritage of West Bengal, with fishing practices and fish-based dishes reflecting the region's rich culinary traditions and social customs.

Datasets Description :

The dataset is essentially a time series dataset. The dataset is created in total 7 days to capture high resolution pictures of fresh and non-fresh eyes and gills. We have used one iPhone 12 to capture the images. Following are the description of the dataset :

1. Training Dataset: Fresh Eyes : 223, Fresh Gills : 613, Non-Fresh Eyes : 1028, Non-Fresh Gills : 1265, Total : 3129, Total Size : 10.08 GB, Resolution : 3024x4032 , Image Type : JPG
2. Test Dataset: Fresh Eyes : 134, Fresh Gills : 80, Non-Fresh Eyes : 257, Non-Fresh Gills : 316, Total : 787, Total Size : 2.49 GB, Resolution : 3024x4032 , Image Type : JPG
3. Total Dataset: 3916 , Total Size: 12.57 GB
4. Dataset Distribution: We have distributed the whole data into 80% as Training data and 20% as test data.

Feature Set :

The gills and eyes of fish are important indicators of freshness, as they provide visual and sensory cues that can help in determining whether a fish is fresh or not.

Gills: Fresh fish have bright red or pink gills, indicating good blood circulation and oxygen exchange. As fish age, the gills start to darken and may turn brown or gray due to a decrease in blood flow and oxygen uptake. Additionally, fresh fish gills should be free of any slime or mucus buildup, which can indicate bacterial growth and spoilage.

Eyes: The eyes of a fresh fish should be clear, bulging, and bright. Cloudy or sunken eyes can be signs of deterioration. Cloudiness in the eyes could indicate dehydration or decay, while sunken eyes suggest dehydration and dehydration may be caused by prolonged storage or improper handling. Also, the eyes should be glossy and not dried out or cloudy.

Classification Algorithms:

Few ML/DL algorithms are mentioned below which can be used for classification for the dataset

Machine Learning:

• Support Vector Machines (SVM)
• Random Forests
• Decision Trees
• K-Nearest Neighbors (KNN)
• Naive Bayes
• Logistic Regression
• Gradient Boosting Machines (GBM)
• AdaBoost

Deep Learning:

• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory (LSTM)
• Gated Recurrent Units (GRUs)

Conclusion:

The Rohu fish, with its scientific significance, cultural importance, and economic relevance, holds a special place in India, particularly in West Bengal. As a vital source of nutrition, livelihood, and cultural heritage, understanding and conserving the Rohu fish species are essential for susta...