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Schwiesow, D
Astillo, P
Basir, M.S
Bakshi, A
Seehuber, C
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Authors
Schwiesow, D
Blanke, M.M
Damerow, L.M
Seehuber, C
Astillo, P
Maja, J
Greene, J
Bari, M.A
Bakshi, A
Witt, T
Caragea, D
Jagadish, K
Felderhoff, T
Pramanik, S
Choton, J
Basir, M.S
Krogmeier, J
Zhang, Y
Buckmaster, D
Topics
Precision A to Z for Practitioners
Engineering Technologies and Advances
Proximal Sensing in Precision Agriculture
Big Data, Data Mining and Deep Learning
Data Analytics for Production Ag
Type
Poster
Oral
Year
2012
2014
2016
2024
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Filter results5 paper(s) found.

1. Raven Sponsor Presentation: Slingshot Overview

Slingshot, a suite of products and services centered around high-speed wireless connectivity in the cab ... D. Schwiesow

2. Precision Thinning Of Fruit Crops

L. Damerow, C. Seehuber and M. Blanke University of Bonn, Germany Correspondence: damerow@uni-bonn.de   Abstract for o r a l   Thinning is a pre-requisite in the majority of fruit crops worldwide in order to overcome or prevent alternate bearing (change of years with large and low yields) and to provide regular yields of high quality... M.M. Blanke, L. Damerow, C. Seehuber

3. Development of a Sensing Device for Detecting Defoliation in Soybean

Estimating defoliation by insects in an agricultural field, specifically soybean, is performed by manually removing multiple leaf samples, visually inspecting the leaves for feeding, and assigning a value representing a “best guess” at the level of leaf material missing. These estimates can require considerable time and are subjective. The goal of this study was to design a low-cost system containing light sensors and a microcontroller that could remotely record and report long-term... P. Astillo, J. Maja, J. Greene

4. Deep Learning to Estimate Sorghum Yield with Uncrewed Aerial System Imagery

In the face of growing demand for food, feed, and fuel, plant breeders are challenged to accelerate yield potential through quick and efficient cultivar development. Plant breeders often conduct large-scale trials in multiple locations and years to address these goals. Sorghum breeding, integral to these efforts, requires early, accurate, and scalable harvestable yield predictions, traditionally possible only after harvest, which is time-consuming and laborious. This research harnesses high-throughput... M.A. Bari, A. Bakshi, T. Witt, D. Caragea, K. Jagadish, T. Felderhoff

5. Private Simple Databases for Digital Records of Contextual Events and Activities

Farmers’ commitment and ability to keep good records varies tremendously. Records and notes are often cryptic, misplaced, or damaged and for many, remain unused. If such information were recorded digitally and stored in the cloud, we immediately solve some access and consistency issues and make this data FAIR (findable, accessible, interoperable, reusable). More importantly, interoperable digital formats can also enable mining for insights and analysis... M.S. Basir, J. Krogmeier, Y. Zhang, D. Buckmaster