Consumers knowledge regarding pesticides on apples and effective washing to remove the pesticides
Notice bibliographique
Résumé

 Objectives: With the increased health awareness, there is a growing demand of fresh produce in food. Not only is there a possibility of the fresh produce to be contaminated with harmful micro-organisms, but also chemicals such as pesticides that have harmful adverse effects. The effective method of washing the fruit can reduce the level of pesticide residue to a significant amount. The objective of the study is to determine if the general public is aware of washing the produce properly and if knowledge, age, gender, education or concerns have any association with the effectiveness of washing. Methods: The study was done using a survey that was designed using Google Forms. An online survey which was self-administered was sent out using snowball sampling. The survey was publicized through both email and social media Facebook. The survey had 19 questions in total 11 of which were general and 8 were knowledge based. The results were analysed by Chi-square test using NCSS Software Package. Results: It was found that there is a statistically significant association between knowledge level and effective method of washing the apples with a p-value of 0.00082. This means H0 is rejected; hence it means there is an associative between knowledge level and effectively washing the apples. No other demographic factors (age, gender, education, concerns, or having children) were found to be associated with the method of washing the produce effectively. Conclusion: It was found through the study that the people who were aware and had good knowledge about the presence of chemicals (pesticides) on apples would wash their fruit (apples) effectively enough that will reduce the pesticide residue on fruits more than people who aren’t aware of the pesticides on fruits. Other factors such as age, gender, preference for the type of food were not found to have any association with washing of the fruit effectively or higher level of knowledge.
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.
Comment cette classification a été obtenuedéplier
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 | 0,002 | 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».