Next Article in Journal
Tipburn Incidence and Ca Acquisition and Distribution in Lisianthus (Eustoma grandiflorum (Raf.) Shinn.) Cultivars under Different Ca Concentrations in Nutrient Solution
Previous Article in Journal
Comparison of Droplet Deposition Control Efficacy on Phytophthora capsica and Aphids in the Processing Pepper Field of the Unmanned Aerial Vehicle and Knapsack Sprayer
Open AccessReview

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

Agricultural Robotics Laboratory (ARL), Universitat Politècnica de València, Camino de Vera, s/n. 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(2), 207; https://doi.org/10.3390/agronomy10020207
Received: 2 December 2019 / Revised: 13 January 2020 / Accepted: 17 January 2020 / Published: 3 February 2020
The information that crops offer is turned into profitable decisions only when efficiently managed. Current advances in data management are making Smart Farming grow exponentially as data have become the key element in modern agriculture to help producers with critical decision-making. Valuable advantages appear with objective information acquired through sensors with the aim of maximizing productivity and sustainability. This kind of data-based managed farms rely on data that can increase efficiency by avoiding the misuse of resources and the pollution of the environment. Data-driven agriculture, with the help of robotic solutions incorporating artificial intelligent techniques, sets the grounds for the sustainable agriculture of the future. This paper reviews the current status of advanced farm management systems by revisiting each crucial step, from data acquisition in crop fields to variable rate applications, so that growers can make optimized decisions to save money while protecting the environment and transforming how food will be produced to sustainably match the forthcoming population growth. View Full-Text
Keywords: agriculture 4.0; big data; farm management information system (FMIS); robotics; IoT; variable-rate technology (VRT); AI agriculture 4.0; big data; farm management information system (FMIS); robotics; IoT; variable-rate technology (VRT); AI
Show Figures

Figure 1

MDPI and ACS Style

Saiz-Rubio, V.; Rovira-Más, F. From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management. Agronomy 2020, 10, 207.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop