Interactions of Market Horticultural Productivity on Climate and Weather Variations in the Northern Senatorial District of Cross River State, Nigeria
Notice bibliographique
Résumé
Various definitions have severally been adduced to poverty as the major cause of most environmental problems ranging from resources depletion, species extinction, deforestation, erosion etc. Majorly man’s activities on the biosphere has tended to impact negatively on the environment, this activities are primarily carried out to sustain man’s existence on the planet earth. These activities include faulty farming practices, indiscriminate use of agrochemicals including fertilizers for agricultural purposes, urbanization and industrial development. This research took a cursory look at the activities of rural farmers cultivating vegetables and other market gardening activities in order to sustain themselves during dry season as safety net for shortfalls in family income and food. These activities are done along watershed and this involves clearing, tilling, use of inorganic manure, herbicides amongst others. Researches including this have shown that these farming practices are detrimental to the ecosystem and have contributed greatly to affecting the ecological balance of the supportive ecosystem. This research therefore set out to assess how these dry seasons agriculture carried out within the study areas has affected the environment vis a vis climate and weather variation. The research adopted field experiment where data were collected twice per year for a period of five years from the farm site and the local meteorological station at Ogoja. The authors used bar graphs to present data from the field. Using rainfall, temperature and soil moisture content data for five years, the authors gathered that this farming activities has impacted negatively on the environment affecting both weather and climate variation. It was also observed by the researchers that though the data for five years was very minimal for any positive generalization, but findings shows that there were some noticeable changes attributed to these activities. It was recommended that hand dug well or boreholes should be used as sources of water supply to avoid destruction of the watershed. It was also suggested that farm yard manure should be used instead of the inorganic manure that has become detrimental of late to both the environment and human health.
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 | 0,001 | 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 | 0,001 |
| 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) | 0,001 | 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 ».