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Khan, H
Shinde, G.U
Psiroukis, V
Shannon, D.K
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Authors
Shinde, G.U
Salokhe, D.M
Badgujar, P.D
Sharma, D.B
Pawar, S.N
Gore, A.K
Shinde, G.U
Pendke, M.S
Shannon, D.K
Khan, H
Esau, T
Farooque, A
Abbas, F
Psiroukis, V
Fountas, S
Uyar, H
Balafoutis, A
Kasimati, A
Topics
Engineering Technologies and Advances
Emerging Issues in Precision Agriculture (Energy, Biofuels, Climate Change)
Education and Training in Precision Agriculture
Precision Agriculture and Global Food Security
Drone Spraying
Type
Poster
Oral
Year
2012
2010
2022
2024
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Filter results5 paper(s) found.

1. Experiencs Of Extension Education Via Online Delivery Of Programming Related To Precision Agriculture Technologies

This paper will describe the content and experiences teaching an extension education course on precision agriculture technologies via online delivery. The course was developed to be delivered in 16 weeks meeting one time a week online. There was also a one-day face-to-face hands-on session focused around 4 lab type activities related to GPS guidance, diagnosis, and setup and maximizing the usefulness of precision agriculture technologies. This course focuses on agricultural... D.K. Shannon

2. Computer Aided Engineering Analysis and Design Optimization for Precision Manufacturing of Tillage Tool: Sweep Cultivator

The process optimization in advance tillage tool system conceptually designed and fabricated by computer aided engineering analysis techniques. The Software testing a field performance is taken in the soil bed preparation as well as in the various crop patterns. It was found most use full in obtaining high weed removal efficiency. The precision geometry, optimum energy utilization, multi-operational design, easy transport and flexible attachments are some of the features which results in achieving... G.U. Shinde, D.M. Salokhe, P.D. Badgujar, D.B. Sharma

3. Climatological Diagnostic Analysis: A Case Study for Parbhani District in Marathwada Region of India

... S.N. Pawar, A.K. Gore, G.U. Shinde, M.S. Pendke

4. Suitability of ML Algorithms to Predict Wild Blueberry Harvesting Losses

The production of wild blueberries (Vaccinium angustifolium.) is contributing 112.2 million dollars to the Canada’s revenue which can be further increased through controlling harvest losses. A precise prediction of blueberry harvesting losses is necessary to mitigate such losses. In this study, the performance of three machine learning (ML) models was evaluated to predict the wild blueberry harvest losses on the ground. The data from four commercial fields in Atlantic Canada were... H. Khan, T. Esau, A. Farooque, F. Abbas

5. Optimizing Vineyard Crop Protection: an In-depth Study of Spraying Drone Operational Parameters

In modern agriculture, the precise and efficient application of agrochemicals is essential to ensure crop health and increase productivity while minimizing adverse environmental impacts. While traditional spraying methods have long been the cornerstone of crop protection, the introduction of unmanned aerial vehicles (UAVs), commonly known as drones), has led to a revolutionary era in agriculture. UAVs offer novel opportunities to improve agricultural practices by providing precision, efficiency,... V. Psiroukis, S. Fountas, H. Uyar, A. Balafoutis, A. Kasimati