Search results for "Tree"

Predicting lorawan behavior. How machine learning can help

2020

Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets a…

Updated single and dual crop coefficients for tree and vine fruit crops

2021

Abstract The present study reviews the research on the FAO56 crop coefficients of fruit trees and vines performed over the past twenty years. The main objective was to update information and extend tabulated single (K c ) and basal (K cb ) standard crop coefficients. The selection and analysis of the literature for this review have been done to consider only studies that adhere to FAO56 method, computing the reference ET with the FAO Penman–Monteith​ ET o equation and field measuring crop ET with proved accuracy. The crops considered refer to vine fruit crops, berries and hops, temperate climate evergreen fruit trees, temperate climate deciduous fruit trees and, tropical and subtropical fru…

Continuous determination of fruit tree water-status by plant-based sensors

2017

Recently, climate change has caused shortages of water worldwide, especially in semi-arid and arid regions. Several irrigation strategies have been studied with the aim of saving water overuse in agriculture. In the past most of the attention was directed towards soil water content, but recently the focus has moved to plant responses to water deficit. In recent years, crop evapotranspiration (ETc) obtained from reference evapotranspiration (ET0) and crop coefficients (Kc), has become common for irrigation scheduling in several crops, but it does not provide precise insights on the tree water status. Today an increasing focus is being given to plant-based sensors for the continuous monitorin…

Metabolic profiling of ripe olive fruit in response to moderate water stress

2013

a b s t r a c t The concentrations of different metabolites in olive (Olea europaea (L.)) fruit at harvest can be affected by water availability, with significant consequences on the composition and the quality of the resulting oil. The aim of the present study was to profile the metabolic composition of ripe olives (cv. Cipressino) grown under water-stress and irrigated conditions applied during the last part of the fruit developmental cycle (from pit hardening to commercial harvest). The imposed conditions resulted in a moderate water stress (−3.5 MPa) at the end of the experimental period. Samples (pulp + skin) of fruit collected at the stage of complete epicarp pigmentation were analyze…

Modelling eco-physiological response of table olive trees (Olea europaea L.) to soil water deficit conditions

2013

Abstract The knowledge of crop response to water stress is crucial to predict transpiration reductions under limited soil water conditions and for a rational scheduling of irrigation. In order to assess whatever water stress model, it is necessary to estimate critical thresholds of soil water status, below which plant transpiration starts to decrease. The main objective of the work is to identify the shape and to determine the parameters of table olive orchards (Olea europaea, var. Nocellara del Belice) water stress function, assessed according to relative transpiration or leaf/stem water potential. In order to assess different water stress functions describing the eco-physiological field r…

Lionello Perera: An Italian Banker and Patron in New York

2022

The book presents the long-lost biography of Lionello Perera, principal banker, patron, and philanthropist of the Italian American community in New York at the inception of the twentieth century. Born and raised in Venice, Lionello Perera took over his uncle’s financial activity in Wall Street and developed the family business into a stronghold of the Italian American community. His remarkable career led him to become the Vice President of Bank of America in 1928 as an associate of California born Amadeo P. Giannini, while he also was instrumental to the political success of New York mayor Fiorello La Guardia. Recognised as a true founding father of the Italian American community of the Eas…

18S rRNA gene sequences and phylogenetic relationships of European hard-tick species (Acari: Ixodidae)

1998

The complete 18S rRNA gene sequences of the following six European hard-tick species were obtained by direct PCR cycle sequencing and silver-staining methods: Rhipicephalus pusillus, Boophilus annulatus, Dermacentor marginatus, Hyalomma lusitanicum, Haemaphysalis punctata, and Ixodes ricinus. Differences observed in the sequence alignment of these six species together with the 18S rRNA gene sequences of 13 other hard-tick species demonstrate that this gene is a good marker for supraspecific differentiation as well as genus grouping among hard ticks. Phylogenetic analyses strongly support that Hyalomma species share a common ancestor with Rhipicephalinae and, consequently, Hyalomminae should…

Nuovi volti alle periferie. L’azione di JR tra Street Art e fotografia

2013

Lua Code: Security Overview and Practical Approaches to Static Analysis

2017

Lua is an interpreted, cross-platform, embeddable, performant and low-footprint language. Lua's popularity is on the rise in the last couple of years. Simple design and efficient usage of resources combined with its performance make it attractive for production web applications even to big organizations such as Wikipedia, CloudFlare and GitHub. In addition to this, Lua is one of the preferred choices for programming embedded and IoT devices. This context allows to assume a large and growing Lua codebase yet to be assessed. This growing Lua codebase could be potentially driving production servers and extremely large number of devices, some perhaps with mission-critical function for example i…

Jason Intentional Learning: An Operational Semantics

2013

This paper introduces an operational semantics for defining Intentional Learning on Jason, the well known Java-based implementation of AgentSpeak(L). This semantics enables Jason to define agents capable of learning the reasons for adopting intentions based on their own experience. In this work, the use of the term Intentional Learning is strictly circumscribed to the practical rationality theory where plans are predefined and the target of the learning processes is to learn the reasons to adopt them as intentions. Top-Down Induction of Logical Decision Trees (TILDE) has proved to be a suitable mechanism for supporting learning on Jason: the first-order representation of TILDE is adequate t…