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Grapes are the most widely grown commercial fruit crop in the world, and also one of the most popular fruit crops for horticultural production. Grape growers constantly search the ways in order to maximize their profits all over the world. It becomes to be important to use new information technologies to increase to overall returns. Precision Viticulture (PV) refers to the application of new and emerging information technologies to the production of grapes to improve the efficacy of production, maximize the quality of production, minimize the environmental footprint of production and minimize the risk associated with production for the grower and processer. Precision viticulture depends on new and emerging technologies such as global positioning systems (GPS), meteorological and other environmental sensors, satellite and airborne remote sensing, and geographic information systems (GIS) to assess and respond to variability. It can be possible that take under control such as soil fertility, fertilizer application norm, disease, water, weed, harvesting, and environmental management by precision viticulture systems in vineyard. So, to reduce inputs such as fertilizer, water, pesticides and to increase yield and quality of grape berries, we must to increase precision technologies in our vineyards. In this review, Precision Viticulture tools will be demonstrated to producing of high quality grapes. Finally, this study will also help grape growers and government agencies that provide new information and technologies such as Remote Sensing to growers in order to detect some factors affecting to maximize grape production.
Bulgarian Journal of Agricultural Science, 2004
Due to its capability of delivering actual information about soil and plant cover, remote sensing is considerable an integral tool for practical application of agriculture. Development of satellite based technologies provide significant point of view for not only science world but also agricultural activities to accurately measure variation in crop’s yield and soil. Precision farming is a new agriculture technology and samely for viticulture, which is designed to monitor, analyze and control grapevine production for optimizing of cost and ecological effects. In this system, great amount of data are collected for controlling of process and throughout of this process, this obtained data are made analysis via a computer. So, using of these new technologies are gradually becoming more important and images, which are taken from airplane and satellites help growers ripening rate, disease incidence, soil drainage and fruit quality. With these recent technologies, which are scanning of vineyards from above, viticulturists can improve teir grape quality and yield per acre.
2020 9th Mediterranean Conference on Embedded Computing (MECO), 2020
This Viticulture has always, by definition, been a "precision" production: detailed knowledge of not only individual vineyards, but also each grapevine individually, provided detailed programming of work operations and production factors adapted for each parcel individually or, better said, for each part of a single parcel. The spatial variability of a particular vineyard can be due to any difference in any element or property for each of the natural, biological, agronomic factors which influence vine performance and the expression of grape and wine characters. This research is aimed at developing methods to quantify temporal variability observed within vineyards and to use data processing tools to assist wine producers and viticulturists to control, analyse and make decisions from so-provided information. Combining the technologies and methodologies will allow wine growers to improve and optimize production systems by taking into account technical and economic aspects of management as well as environmental issues at an intra-parcel (sub-block) level
2009
Precision Viticulture (PV) is a concept that is beginning to have an impact on the wine-growing sector. Its practical implementation is dependant on various technological developments: crop sensors and yield monitors, local and remote sensors, Global Positioning Systems (GPS), VRA (Variable-Rate Application) equipment and machinery, Geographic Information Systems (GIS) and systems for data analysis and interpretation. This paper reviews a number of research lines related to PV. These areas of research have focused on four very specific fields: 1) quantification and evaluation of within-field variability, 2) delineation of zones of differential treatment at parcel level, based on the analysis and interpretation of this variability, 3) development of Variable-Rate Technologies (VRT) and, finally, 4) evaluation of the opportunities for site-specific vineyard management. Research in these fields should allow winegrowers and enologists to know and understand why yield variability exists within the same parcel, what the causes of this variability are, how the yield and its quality are interrelated and, if spatial variability exists, whether site-specific vineyard management is justifiable on a technical and economic basis.
2019
Today’s polluted environment and over exploited natural resource, demand for immediate precautionary steps for sustainability of the earth. Agriculture also hugely contributes to such devastated condition. Precision agriculture technology is capable of performing site specific managements by delineating management zones. It helps achieve yield optimization, cost minimization and benefit maximization through GIS, GPS, remote sensing data acquisition, decision support system, sensor-controlled automatization, variable rate technology (VRT) and many other. For performing any management practice, the components work in concord. While GPS, remote sensors can provide location specific parameter values, GIS is able to create georeferenced wholesome map of a field; and controlled rate of chemical application is done through VRT via decision support systems. However, there are some of the factors which limits its adoption by the grower community over the world. But efforts are being made to ...
Remote Sensing, GIS and GPS plays a vital component in monitoring vineyard cultivation in a near real time manner for delivering appropriate management inputs. A crux of vineyard distribution according to climatic conditions and consequence of adverse climatic conditions on production of vine is dealt without ambiguity. Role of remote sensing (optical and hyperspectral) on vineyard distribution, discrimination by various techniques, deriving both biophysical and biochemical variables from satellite images and monitoring of vine at various growth stages has been reviewed extensively. Field management of irrigation and nutrient on vine has been detailed elaborately. Vine cultivation and its importance, rootstock development, vineyard establishment, canopy management, pest and disease monitoring are deliberated both by field approach and its assessment through remote sensing and Geographic Information System. Thus remote sensing and GIS tools provide valuable information to vine growers and policy planners to take appropriate measures for optimal growth and development of vine for sustainable production.
The wine market had in the last few years deep changes which are due principally, to the always biggest attention of the consumers towards to the wine good quality. The aim of the work is to analyze the spatial variability of the viticulture production and to evaluate the use of a main grid to be used in the control, in order to be able to identify homogeneous zones of production with a sampling methodology. The used sampling scheme is a regular grid with transepts of dimension equal at 10 mt and in total were sampled about the 3% of the plants in production and georeferenced (GRS1 of TOPCON) using a GPS device and, before the vintage, were evaluated the number, the bunch weight and the total production for plant. The data shown a variability of production between various field zones and among the single plants sampled in the biennium. The average production estimated for plant was of 2,77 kg for 2008 and 2.03 kg for 2009 while the total production was ranging from 5,3 t for 2008 to...
Procedia Technology, 2013
Precision agriculture was applied in handpicked fruit orchards in Greece in the last few years. The results of applications in apples and vines are presented in this paper. Yield, quality and NDVI maps were created for three years. The results for both crops showed that there was high variability in the measured parameters. Comparison of the maps indicated that fruit quality was inferior in areas where yield was high. NDVI maps in apples at the beginning of June were correlated to the final yield variability. This result can be used as an early warning of yield variability and could be used to manage the predicted variability. Similar results were indicated for vines.
JOJ horticulture & aboriculture, 2018
Precision viticulture and the use of monitoring systems for the management of spatial and temporal variability in recent decades has been the research topic that has led to the emergence of new high tech production segments that have been able to accompany the transformation of agricultural machines. The results of the research have enabled the design and introduction of autonomous vehicles (drones) and intelligent sensors, suitable for proximal and remote sensing and for use in the sustainable management of the vineyard. At the same time, there are still difficulties in market deployment of these technologies due to high costs and difficult integration with ordinary agronomic techniques. The object of this mini-review is to present the innovative technologies applied in precision viticulture considering several key words: vineyard management, UAV and Machine learning technologies.
The Geography of Wine, 2011
Sustainability
In the precision viticulture domain, data recorded by monitoring devices are large-scale processed to improve solutions for grapes’ quality and global production and to offer various recommendations to achieve these goals. Soil-related parameters (soil moisture, structure, etc.) and atmospheric parameters (precipitation, cumulative amount of heat) may facilitate crop diseases occurrence; thus, following predictive analysis, their estimation in vineyards can offer an early-stage warning for farmers and, therefore, suggestions for their prevention and treatment are of particular importance. Using remote sensing devices (e.g., satellites, unmanned vehicles) and proximal sensing methods (e.g., wireless sensor networks (WSNs)), we developed an efficient precision agriculture telemetry platform to provide reliable assessments of atmospheric phenomena periodicity and crop diseases estimation in a vineyard near Bucharest, Romania. The novelty of the materials and methods of this work relies...
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