Prediction of the efficiency for decision making in the agricultural sector through artificial intelligence
Artículo de revista
2021
Corporación Universidad de la Costa
Agriculture plays an important role in Latin American countries where the demand for provisions to reduce hunger and poverty represents a significant priority in order to improve the development and quality of life in the region. In this research, linear data analysis techniques and soil classification are reviewed through neural networks for decision making in agriculture. The results permit to conclude that precision agriculture, observation and control technologies are gaining ground, making it possible to determine the production demand in these countries
- Artículos científicos [3154]
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Prediction of the efficiency for decision making in the agricultural sector through artificial intelligence.pdf
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Título: Prediction of the efficiency for decision making in the agricultural sector through artificial intelligence.pdf
Tamaño: 93.03Kb
PDFLEER EN FLIP
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