Managers of insect-pollinated orchards face many decisions that can significantly influence crop yields, including managing pollination through use beehives or the layout cultivars in orchard. Understanding relative importance and interactions between these multiple empirical field trials is rarely possible, so modeling approaches provide valuable insights generate new hypotheses. Based on kiwi...

In this paper, we propose a novel deep learning method based on Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its plants considering highly-dense plantation configurations. The experimental setup was evaluated in cornfield with different growth stages Citrus orchard. Both datasets characterize plant density scenarios, locations, typ...

Let G be an abstract graph. Motivated by the Orchard relation, introduced in [3, 4], we have defined the Orchard crossing number of G [5], in a similar way to the well-known rectilinear crossing number of an abstract graph G (denoted by cr(G), see [1, 8]). A general reference for crossing numbers can be [6]. The Orchard crossing number is interesting for several reasons. First, it is based on t...

Autonomous operation and information processing in an orchard environment requires an accurate inventory of the trees. Individual trees must be identified and catalogued in order to represent their distinct measures such as yield count, crop health and canopy volume. Hand labelling individual trees is a labour-intensive and time-consuming process. This paper presents a trunk localisation pipeli...

Various plants and resources such as orchards are vulnerable to the detrimental effects of successful invasions by alien animal or plant species. To outline an appropriate policy response, we first use renewal theory to construct a stochastic model of optimal orchard management in the presence of a deleterious alien species. Next, we derive the orchard manager’s long run expected cost of orchar...

In this paper we present an approach to tree recognition and localisation in orchard environments for tree-crop applications. The method builds on the natural structure of the orchard by first segmenting the data into individual trees using a Hidden Semi-Markov Model. Second, a descriptor for representing the characteristics of the trees is introduced, allowing a Hidden Markov Model based match...

Both the Vogel Spindle and Spanish Bush systems will allow for the development of a “pedestrian orchard”. A pedestrian orchard is defined as an orchard where two-thirds of the crop can be harvested from the ground, without the use of tall ladders (Fig. 1). Harvesting fruit from the ground greatly enhances worker productivity. In a study that I conducted in The Dalles, Oregon pickers were able t...

The precise management of orchards cannot do without the support of various orchard field data, and the orchard field data server is an effective solution thereto. The orchard field data server consists of data acquisition unit, data communication unit, data analysis unit and such diversified server sockets of user terminal as supportive personal computer (PC), notebook computer, mobile phone a...