Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. A. Contributo su rivista
  4. A1. Articolo in rivista
  5. Semi-automatic guidance vs. Manual guidance in agriculture: A comparison of work performance in wheat sowing

Semi-automatic guidance vs. Manual guidance in agriculture: A comparison of work performance in wheat sowing

Author(s)
Scarfone, Antonio
Picchio, Rodolfo  
del Giudice, Angelo
Latterini, Francesco
Mattei, Paolo
more
Date Issued
2021
Type
article
Volume
10
Issue
7
Start Page
825
DOI
10.3390/electronics10070825
Journal
ELECTRONICS  
Abstract
The use of digital systems in precision agriculture is becoming more and more attractive for farmers at every level. A few years ago, the use of these technologies was limited to large farms, due to the considerable income needed to amortize the large investment required. Although this technology has now become more affordable, there is a lack of scientific data directed to demonstrate how these systems are able to determine quantifiable advantages for farmers. Thus, the transition towards precision agriculture is still very slow. This issue is not just negatively affecting the agriculture economy, but it is also slowing down potential environmental benefits that may result from it. The starting point of precision agriculture can be considered as the introduction of satellite tractor guidance. For instance, with semi-automatic and automatic tractor guidance, farmers can profit from more accuracy and higher machine performance during several farm operations such as plowing, harrowing, sowing, and fertilising. The goal of this study is to compare semi-automatic guidance with manual guidance in wheat sowing, evaluating parameters such as machine performance, seed supply and operational costs of both the configurations.
Subjects

Effective field capac...

Handle
http://hdl.handle.net/2067/43367
Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify