4,399 research outputs found

    Precision irrigation and harvest management in orchards: an economic assessment

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    Precision management has become vital in agriculture with possibilities growing alongside developments in information and communication, robotics and sensor technologies. On the other side of expected benefits of precision management in terms of environmental friendliness, yield margin, input efficiency, etc., is the upfront expensiveness of such technologies. There is hence a need to quantitatively assess expected net benefits and provide useful information for farmers and stakeholders to enable informed choice on the potential adoption of precision technologies and management practices. This study presents economic assessment of precision irrigation and harvest management system with integrated use of sensor technologies and Farm Management Information System (FMIS) as compared to conventional practice applying partial budgeting as a tool. Relevant scenarios are defined based on data from an experimental apple orchard field situated in Prangins, Switzerland. The precision management system is found to be economically justifiable in situations of high demand for irrigation characterized by limited rainfall and considerable variabilities in weather conditions. Its economic feasibility is found to be sensitive to changes in fruit price and capital cost

    Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Survey

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    Precision Farming by Cotton Producers in Eleven Southern States: Results from the 2005 Southern Precision Farming Surveycotton, precision farming, survey, Agribusiness, Farm Management, Production Economics, Research and Development/Tech Change/Emerging Technologies,

    Irrigation Water Quality Sampling Guide

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    Understanding irrigation water quality is an important part of irrigation water management. Water quality testing begins with identifying constituents for which to test. Proper sample collection is important for characterizing a water source. This fact sheet addresses water sampling, what to sample or test, irrigation equipment concerns, pollutants, and when, where, and how to sample

    Robot-assisted Soil Apparent Electrical Conductivity Measurements in Orchards

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    Soil apparent electrical conductivity (ECa) is a vital metric in Precision Agriculture and Smart Farming, as it is used for optimal water content management, geological mapping, and yield prediction. Several existing methods seeking to estimate soil electrical conductivity are available, including physical soil sampling, ground sensor installation and monitoring, and the use of sensors that can obtain proximal ECa estimates. However, such methods can be either very laborious and/or too costly for practical use over larger field canopies. Robot-assisted ECa measurements, in contrast, may offer a scalable and cost-effective solution. In this work, we present one such solution that involves a ground mobile robot equipped with a customized and adjustable platform to hold an Electromagnetic Induction (EMI) sensor to perform semi-autonomous and on-demand ECa measurements under various field conditions. The platform is designed to be easily re-configurable in terms of sensor placement; results from testing for traversability and robot-to-sensor interference across multiple case studies help establish appropriate tradeoffs for sensor placement. Further, a developed simulation software package enables rapid and accessible estimation of terrain traversability in relation to desired EMI sensor placement. Extensive experimental evaluation across different fields demonstrates that the obtained robot-assisted ECa measurements are of high linearity compared with the ground truth (data collected manually by a handheld EMI sensor) by scoring more than 90%90\% in Pearson correlation coefficient in both plot measurements and estimated ECa maps generated by kriging interpolation. The proposed robotic solution supports autonomous behavior development in the field since it utilizes the ROS navigation stack along with the RTK GNSS positioning data and features various ranging sensors.Comment: 15 pages, 16 figure

    A GIS-based methodological framework to identify superficial water sources and their corresponding conduction paths for gravity-driven irrigation systems in developing countries

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    The limited availability of fresh water is a major constraint to agricultural productivity and livelihood security in many developing countries. Within the coming decades, smallholder farmers in drought-prone areas are expected to be increasingly confronted with local water scarcity problems, but their access to technological knowledge and financial resources to cope with these problems is often limited. In this article, we present a methodological framework that allows for identifying, in a short period of time, suitable and superficial water sources, and cost-effective water transportation routes for the provisioning of gravity-driven irrigation systems. As an implementation of the framework, we present the automated and extensible geospatial toolset named “AGRI’’, and elaborate a case study in Western Honduras, where the methodology and toolset were applied to provide assistance to field technicians in the process of identifying water intake sites and transportation routes. The case study results show that 28 % of the water intake sites previously identified by technicians (without the support of AGRI) were found to be not feasible for gravity-driven irrigation. On the other hand, for the feasible water intake sites, AGRI was able to provide viable and shorter water transportation routes to farms in 70 % of the cases. Furthermore, AGRI was able to provide alternative feasible water intake sites for all considered farms, with correspondingly viable water transportation routes for 74 % of them. These results demonstrate AGRI’s potential to reduce time, costs and risk of failure associated with the development of low-cost irrigation systems, which becomes increasingly needed to support the livelihoods of some of the world’s most vulnerable populations

    Long-term post-harvest field storage of sugar beet (Beta vulgaris subsp. vulgaris)

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    The post-harvest storage of the sugar beet crop in Sweden occurs in the field. The harvest of roots generally ends along with the month of November, but the processing campaign can continue into February. The loss of quality of the stored roots during this period is economically important. This thesis groups the main mechanisms that results in loss of quality during post-harvest storage in two categories: plant health, and the storage environment. It focuses on the plant health dimension of mechanical properties, and the storage environment dimensions of moisture and temperature. The relationship between key agronomic inputs and mechanical properties and storability of sugar beet roots was investigated. Growing season available nitrogen and water were found to have little impact on mechanical properties. The storability of roots was found to decrease significantly when irrigation gave an optimal soil water availability throughout the season. This is likely a result of an interaction with an unspecified dimension of plant health. The quantification of sugar beet root mechanical properties with a traditional handheld penetrometer applied in-field was found to be reliable. It was also found that the methods used in the analysis of mechanical properties could be expanded to include the apparent modulus of elasticity and that fall-tests can be used to assess dynamic impacts. The use of a short, intense period of forced ventilation of a sugar beet bulk was found to lead to dehydration of sugar beet roots in a predictable manner. This resulted in increases to sucrose concentrations that would lead to greater gross income. Computational Fluid Dynamics modelling of the temperature within a clamp proved to be possible and insightful. The fluid dynamics within the clamp are important to include in such modelling

    Traceability in Food Systems: An Economic Analysis of LGMA and the 2006 Spinach Outbreak

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    This case study presents an in-depth review of network structures and costs associated with the implementation of traceability systems in California leafy green production, distribution, and retailing. The 2006 spinach outbreak is used to assess the economic impact of trace back/forward response time of the LGMA system, an example of a tightly coupled, linear supply network. Results suggest that the benefits of traceability systems may far outweigh the costs and that costs vary significantly by technology used and by grower size. Implications are derived for cost-effectiveness of rapid response, targeted trace back/forward systems in other types of supply networks.traceability, produce, supply networks, cost-effectiveness, Food Consumption/Nutrition/Food Safety, Production Economics, Q18, I18, L51,

    NUSAT update

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    This paper presents, in general terms, the results of the experiments with NUSAT I. These include what has been learned about the strengths of the original design, as well as improvements being incorporated into NUSAT II, which should be of interest to designers of future Get Away Special ejected satellites. This paper also presents an account of the formation of the Center for AeroSpace Technology (CAST) at Weber State College, which grew out of the NUSAT project, and some potential applications and markets for inexpensive, low orbit satellites which CAST has explored

    Trees and water: smallholder agroforestry on irrigated lands in Northern India

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    Trees / Populus deltoids / Agroforestry / Afforestation / Reforestation / Models / Water use / Water balance / Evapotranspiration / Precipitation / Remote sensing / Irrigation requirements / India
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