Estudio del uso de técnicas de inteligencia artificial aplicadas paraanálisis de suelos para el sector agrícola
The application of artificial intelligence (AI) has been evident in the agricultural sector. Today, agriculture faces numerous challenges to maximize its yield, including inadequate soil treatments, disease infestation, pests, among others, so the need to manage big data has become a fundamental req...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | Spanish |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://dialnet.unirioja.es/servlet/oaiart?codigo=7941075 |
| Source: | RECIMUNDO: Revista Científica de la Investigación y el Conocimiento, ISSN 2588-073X, Vol. 5, Nº. 1, 2021, pags. 4-19 |
| Tags: |
Add Tag
No Tags: Be the first to tag this record
|
| Summary: |
The application of artificial intelligence (AI) has been evident in the agricultural sector. Today, agriculture faces numerous challenges to maximize its yield, including inadequate soil treatments, disease infestation, pests, among others, so the need to manage big data has become a fundamental requirement in this sector to increase knowledge among farmers and technology. The main concept of AI in agriculture is its flexibility, high performance, precision and cost effectiveness. The automation of agriculture is the main concern and the emerging issue of all countries, since the traditional methods used by farmers are no longer sufficient to meet the growing demand of increasing population. In relation to this, new automated methods were introduced that meet food needs and provide great employment opportunities, bringing an agricultural revolution in this sector. The use of artificial intelligence and new technologies has protected the crop through the performance of various factors such as climate changes, population growth, employment problems and food security, providing benefits in the proper use of water, pesticides, herbicides, as well as helping in the efficient use of labor, raising productivity, improving quality and maintaining soil fertility. This article presents a review of AI applications in soil, crop management, weed management, and disease management. Particular attention is paid to the strength and limitations of the application and how to use expert systems for increased productivity. |
|---|