An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision

A review of robotics and autonomous systems in the food industry: From the supply chains perspective

“…Other applications to increase supply chain efficiency include performing farming activities such as pruning, inspection, spraying (Tiotsop et al, 2020), automated dairy cattle body condition scoring system (Bewley et al, 2010), automated harvesting (Mann et al, 2016), automated refrigerated storage (Meneghetti & Monti, 2015), or scheduling tasks in complex agriculture environment (Mazar et al, in press). The success of these applications depends on the communication between robots and the ability to analyse data (Sabzi & Arribas, 2018).…”

An evolutionary approach to robot scheduling in protected cultivation systems for uninterrupted and maximization of working time

“…Various scheduling techniques employed for mobile robots primarily focused on task-based scheduling. In previous studies, various scheduling problems were solved using integer linear programming (Tiotsop et al, 2020) (Cheng et al, 2019), and dynamic programming (Jin et al, 2006). Optimal scheduling problems arising in different real-world activities have been solved using classical search and optimization algorithms including linear programming methods.…”

Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons

“…Currently, in most cases the process is as follows: (i) online data sampling/image capturing; (ii) running off-line processing; (iii) taking appropriate actions based on the outcome of data mining. Therefore, it is clear that the effectiveness of these applications can be largely increased [22,43] using smarter Unmanned Aerial Vehicles (UAVs) and Unmanned Ground Vehicles (UGVs) capable of advanced autonomous operations [3], including real-time decision making [2] and on-spot intervention.…”