Cargando…
Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability
The world population is expected to grow by another two billion in 2050, according to the survey taken by the Food and Agriculture Organization, while the arable area is likely to grow only by 5%. Therefore, smart and efficient farming techniques are necessary to improve agriculture productivity. Ag...
Autores principales: | Vincent, Durai Raj, Deepa, N, Elavarasan, Dhivya, Srinivasan, Kathiravan, Chauhdary, Sajjad Hussain, Iwendi, Celestine |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749515/ https://www.ncbi.nlm.nih.gov/pubmed/31450772 http://dx.doi.org/10.3390/s19173667 |
Ejemplares similares
-
Iran’s Land Suitability for Agriculture
por: Mesgaran, Mohsen B., et al.
Publicado: (2017) -
AI-Driven Validation of Digital Agriculture Models
por: Romero-Gainza, Eduardo, et al.
Publicado: (2023) -
A GIS-based land suitability model for agricultural tractors in CALABARZON Region, Philippines
por: Amongo, Rossana Marie, et al.
Publicado: (2023) -
Evaluating recommender systems for AI-driven biomedical informatics
por: La Cava, William, et al.
Publicado: (2020) -
A Novel Framework and Enhanced QoS Big Data Protocol for Smart City Applications
por: Rani, Shalli, et al.
Publicado: (2018)