Proceedings :: International Society of Precision Agriculture

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Schwiesow, D

Astillo, P

Basir, M.S

Bakshi, A

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Authors

Schwiesow, D

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

Proximal Sensing in Precision Agriculture

Big Data, Data Mining and Deep Learning

Data Analytics for Production Ag

Type

Poster

Oral

Year

2012

2016

2024

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Authors

Filter results4 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. 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 Download paper
3. 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
4. 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 Download paper

Filter results4 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. 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

Download paper

3. 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

4. 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

Download paper