Utilizing Science and Technology in Agriculture to Ensure the Enhancement of Quality of Life Through Food Security, Improved Nutrition and Sustainable Livelihoods.
Notice bibliographique
Résumé
Ensuring food, nutrition, and income security is of paramount importance for India, a country where over 50 percent of the workforce is employed in agriculture, contributing approximately 17 percent to the GDP.Food security encompasses more than just production availability; it encompasses ensuring nutritional well-being for the populace and financial stability for farmers.Throughout history, agricultural advancements driven by science and technology have significantly influenced India's agricultural land scape, spanning various revolutions such as the green, white, blue, rainbow, and golden revolutions.India has achieved notable progress in terms of agricultural production, productivity, and availability of essential commodities like food grains, horticul tural produce, milk, meat, and fish, largely owing to technology-driven development and governmental initiatives.The Ministry of Agriculture and Farmers Welfare has spearheaded flagship programs and production -oriented schemes like the National Food Security Mission and the National Mission on Oilseeds, aimed at promoting technology adoption and bridging yield gaps.However, amidst a scenario of increasing population and diminishing land and water resources due to climate change, the challenges are growing.Climate change is expected to exacerbate issues such as high temperatures, unpredictable weather patterns, the emergence of new pests and diseases, and threats such as rising sea levels and glacier melt.Addressing these challenges requires robust suppor t for research and development to deliver science-based solutions that enhance the quality of life for all, including farmers who not only produce food but also rely on it for their livelihoods.Present Scenario food production : Out of total geographical area of 328.7 million hectares (as per the land use statistics 2015-16) of which about 140 million hectares is reported as net sown area and about 195 million hectares is the gross cropped area with a cropping intensity of 139%.The net irrigated area is 68 million hectares.The total food grains production increased from 218.11 million tonne in 2009-10 to 284.8 million tonne during 2017-18 and touched all times high food grain production.This accomplishment was a result of the determined efforts of all stakeholders in making latest crop production & protection technologies available to farmers and providing postharvest marketing support.The total area coverage of food grain crops during kharif 2018 (as on 12.10.2018) is 107.2millionha, which is 105% of normal area sown.However, the total production is expected to be higher because of better science based production technologies and spread of high yielding varieties.Although area continue to be the same to 140 ± 2 million hectare for the last 40 years, but production has increased apparently.It gives a lot of satisfaction that production of food crops has increased 5.5 times, horticulture 11.5 times since 1950-51.Many of the crops which were not known before have emerged as important crop and India has become a leader.But the challenges ahead are much greater than before.Shortage of oilseeds and rising price of food is cause of concern.The impact of climate change is likely to increase in terms of high temperature, uncertainty of weather, emergence of new pests and diseases.How we can address the increasing food needs of the increasing population and reducing highly unequal social satisfaction.But there is a need to address new challenges that transcend the traditional decision making horizons of producers, consumers and policy-makers. Quality of life is linked with food, nutritional and income security :The quality of life and health of any nation is directly linked to food and nutritional security, which is the back bone of national prosperity and well-being of the people.There is direct relationship between food consumption levels and poverty.In rural context, agriculture development for small and marginal farmer is the most important dimension of livelihood.The diversification of agriculture for food e.g., cereals, pulses, edible oil yielding, fruits, vegetables, medicinal and fodder crops are necessary to meet the food& nutritional requirements and augment income to farmers to meet the income security.According to some projections, the demand for fruits and vegetables would increase from 265 million tonnes to 300 million tonnes.Given the shifts in consumption patterns, towards non-cereal food, and even to non-food, it is felt that the demand projections of the Ministry of Agriculture on food grains of around 350 million tonne for 2030 are Journal of Survey in Fisheries Sciences 08 (3) 446-450 2022
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,005 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».