A computational environment to support research in sugarcane agriculture-Reference-Cited by-同舟云学术

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A computational environment to support research in sugarcane agriculture

Published:2016-11 Issue: Volume:130 Page:13-19
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Driemeier Carlos,Ling Liu Yi,Sanches Guilherme M.,Pontes Angélica O.,Magalhães Paulo S. Graziano,Ferreira João E.

Funder

CNPq

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

1. Factors related to adoption of precision agriculture technologies in southern Brazil;Anselmi,2014

2. Physical Chemistry;Atkins,2010

3. Adoption Level of Precision Agriculture for Brazilian Farmers - 2011/2012 crop year;Avanzi,2014

4. Precision agriculture in Australia: present status and recent development;Bramley;Eng. Agric.,2013

5. Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application;Bramley;Crop Pasture Sci.,2009

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1. Data processing to remove outliers and inliers: A systematic literature study;Revista Brasileira de Engenharia Agrícola e Ambiental;2024

2. Towards greater sustainability of sugarcane production by precision agriculture to meet ethanol demands in south-central Brazil based on a life cycle assessment;Biosystems Engineering;2023-05

3. Activated carbon from sugarcane as an efficient adsorbent for phenol from petroleum refinery wastewater: Equilibrium, kinetic, and thermodynamic study;Open Engineering;2023-01-01

4. Experimental Research on the Effect of Sugarcane Stalk Lifting Height on the Cutting Breakage Mechanism Based on the Sugarcane Lifting–Cutting System (SLS);Agriculture;2022-12-03

5. Precision Agriculture in Brazil: The Trajectory of 25 Years of Scientific Research;Agriculture;2022-11-09

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