Unmanned aerial vehicles (UAVs) are being increasingly used for the spraying of pesticides for crop protection in complex geographic terrains that are not easily accessible by operators. This experiment was conducted to investigate the sprayer performance of a commercial UAV, equipped with different types of nozzles, and compare this new technology with the sprayers usually used on small size mountain vineyards (i.e. a knapsack sprayer and a sprayer gun). Field tests were conducted in a small high slope terraced vineyard. The operative parameters of the sprayers were calculated. Data on droplet coverage, density and size were collected by using water sensitive papers attached with clips to the leaves and analysed. The results showed that the working capacity of the UAV was 2-fold that of the sprayer gun 1.6-fold that of the knapsack sprayer. Droplet coverage, density and size were variable and affected by the position of the targets (water sensitive papers) and the type of sprayer used.
This study shows a new methodological proposal for wine farm management, as a result of the progressive development of the technological innovations and their adoption. The study was carried out in Italy involving farmers, workers, or owners of wine farms who are progressively introducing or using precision agriculture technologies on their farm. The methodology proposed was divided in four stages (1. understanding the changes in action; 2. identifying the added value of Smart Farming processes; 3. verifying the reliability of new technologies; 4. adjusting production processes) that can be applied at different levels in vine farms to make the adoption of precision agriculture techniques and technologies harmonious and profitable. Data collection was carried out using a participant-observer method in brainstorming sessions, where the authors reflected on the significance of technology adoption means and how to put them in practice, and interviews, questionnaire surveys, diaries, and observations. Moreover, project activities and reports provided auxiliary data. The findings highlighted the issues of a sector which, although with broad investment and finance options, lacks a structure of human, territorial, and organizational resources for the successful adoption of technological innovations. The work represents a basis for the future development of models for strategic scenario planning and risk assessments for farmers, policymakers, and scientists.
This paper set out to explore the precision agriculture (PA)-training needs of students studying in agricultural universities in the Euro-Mediterranean region (Greece, Italy, Portugal and Spain). SPARKLE is a Knowledge Alliance Project, funded by the European Union (EU), and one of its main goals is to narrow the innovation divide between entrepreneurship and the effective application of sustainable PA. During the project, the research conducted in all countries in the Euro-Mediterranean region revealed differences in the PA-training needs of university students. Additionally, this paper set out to explore the socioeconomic characteristics of students that affect their interest and knowledge towards PA. Finally, this paper aimed to understand the scope, present status and strategies for improving PA training in agricultural universities in the Euro-Mediterranean region. The following descriptive statistics and two multivariate analysis techniques were used: Two-Step Cluster Analysis (TSCA) and Categorical Regression (CATREG). Results support the notion that the lack of “PA knowledge/interest” adds to the technological gap amongst university students, slow adoption of PA and lower levels of overall rural economic development. These findings will be used as the fundamental cognition for the development of a joint action plan and several other national plans in the selected regions.
The growing need for production processes oriented to environmental sustainability is leading to the quickly spreading of robotic solutions. In this scenario, the Smart Machine for Agricultural Solutions High-tech SMASH project is focusing on the development of a robotic collaborative ecosystem. It consists of four main modules: an unmanned ground vehicle (AgroBot), a soil monitoring unit (Plantoid), an aerial unit (Fly-Bot), and a mobile service unit on the field (AncillaryBot). Furthermore, the SMASH project is implementing technological solutions with a view to resolve some issues related to nutrition safety (e.g. nitrate content on the vegetable) and environmental sustainability (e.g. pesticide use, production process waste) in two representative scenarios of specialty crops (viticulture) and vegetables (spinach). The present work reports the results concerning the design stage and development of the robotic terrestrial platform AgroBot and their implements for the crop protection management and physical control of weeds. A system made of a terrestrial wheeled platform with an innovative perception system and three types of implements have been built to make sustainable agronomic practices.
Based on the European Community framework directive 2009/128/EC that is devoted to the sustainable use of pesticides, farmers’ sensitivity and their administrative fulfillments are growing in recent years. Great attention is directed towards remote data acquisition by smartphone, satellites, drones. An available technological tool to accomplish this in the scenario of precision viticulture technologies is telemetry. This study aimed to evaluate the usefulness of the data acquired with a telemetry system used when applying crop protection products in a winemaking farm for management optimization. Results showed an incorrect operative operation rate for 9.53% of the total kilometers worked during the spraying phase with a variable cost for fuel and pesticides ranging between 0.01 € m–1 and 0.03 € m–1.
Within the framework of the European project named 'SPARKLE', an online course was created after studying educational needs on precision agriculture (PA), state of the art of technologies and a prospective study of the commercial sector. Five educational and research institutions, high-tech farms and enterprises specializing in technology transfer created the syllabus of the course and the platform contents. The course was designed to provide 30 h of student dedication, via online presentations, documents and videos for each topic. A free pilot course started in April 2020 and 385 students from Italy, Portugal, Greece & Spain enrolled. To trace performance and acquisition of competences, questionnaires were completed by students for each topic and a final overall test. Students' opinions about the course were also registered using anonymous polls, and results evaluated, to be able to enhance the Sparkle course for subsequent editions. Students also took part in a business model competition, to solve real challenges proposed by farms, related to the use of these technologies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.