Nanofertilizers and Nanopesticides for Sustainable Agriculture, Food Security and Environmental Quality
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Notice bibliographique
Résumé
During human history, sustainable agriculture has been strongly advocated as one of the most practicable solutions that can effectively address the burning issues of food security and environmental degradation. In this context, the research on nanofertilizers and nanopesticides has gained significant momentum due to their potential to revolutionize agricultural practices. The current chapter introduces modern agriculture’s pressing challenges, such as declining soil fertility, nutrient depletion, increasing pest resistance, and environmental pollution caused by the non-judicious use of conventional agrochemicals. It has been strongly advocated that the unwise use of chemical fertilizers and pesticides is the main culprit of the high input cost of farming, lower net economic returns of the farming community, and environmental degradation. Keeping these facts in mind, the “Montreal-Kunming Agreement”—adopted by the UN Biodiversity Forum (2022)—has strongly urged addressing the menace of soil and water bodies’ pollution to achieve healthy environments by 2030. Hence, there is a dire thrust to adopt all possible environmentally friendly and economically viable approaches to realize the human dream of sustainable agriculture and healthy environments. Nanofertilizers are designed with precision and tailored to specific plant nutrient requirements to offer enhanced nutrient uptake and use efficiency, increased crop productivity, reduced environmental impacts, and improved soil health, promoting sustainable crop production and food security scenarios. An intelligent nutrient release system, including nanofertilizers in plant nutrition programs, may positively impact crop yield and product quality, enhance crop biotic and abiotic stress tolerance, and mitigate greenhouse gas emissions. Various case studies and field trials have been reported in the literature to advocate the effectiveness and practical applications of nanofertilizers. Moreover, nanopesticides appeared as an innovative solution for eco-friendly pest management since they are designed to target pests more effectively, exhibit enhanced efficacy, and reduce environmental persistence. By ensuring the site-specific application of pesticides where they are required, the nano-formulations offer significant potential to reduce chemical exposure to non-target organisms, especially crop-friendly insects, and minimize ecological degradation. This chapter critically analyzes the potential benefits and challenges of using nanofertilizers and nanopesticides for sustainable agriculture and a healthy environment. Environmental concerns, toxicity, and long-term effects on ecosystems are discussed to ensure the responsible and sustainable adoption of nanobiotechnology in food production. Finally, the chapter highlights the prospects of nanofertilizers and nanopesticides in sustainable agriculture, along with the need for rigorous research and development in nanotechnology, developing the regulatory frameworks, and public awareness and acceptance to harness the full potential of nanobiotechnology for achieving the goals of sustainable agriculture, food security, and benign environments.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 découle