An Extensible Software Platform for Cloud-Based Decision Support and Automation in Precision Agriculture

2016 ◽  
Author(s):  
Li Tan ◽  
Hongfei Hou ◽  
Qin Zhang
Keyword(s):  
Decision Support ◽  
Precision Agriculture ◽  
Software Platform ◽  
Extensible Software

scholarly journals Utility of a Mobile Clinical Decision Support Application in Patients Undergoing Spinal Cord Stimulation.

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Shervin Rahimpour ◽  
Sarah E Hodges ◽  
Luis A Antezana ◽  
Abena A Ansah-Yeboah ◽  
Rajeev Dharmapurikar ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Chronic Pain ◽  
Decision Support ◽  
Patient Reported Outcomes ◽  
Clinical Decision ◽  
Software Platform ◽  
Clinical Specialist ◽  
Mobile Software ◽  
Patient Reported

Abstract INTRODUCTION Novel technologies to support real-time patient education, engagement and scalable outcomes monitoring to make clinically meaningful decisions are needed. The ManageMySurgery (MMS) Spinal Cord Stimulation (SCS) module is a mobile clinical decision support application that provides: (1) a mobile, patient-centered engagement tool for delivering pre-, peri- and postoperative SCS information; (2) scalable patient-reported outcomes collection; (3) a HIPAA-compliant 2-way messaging platform with a Clinical Specialist Educator for real-time support and goal setting. METHODS Prospective data was collected using the MMS mobile smartphone application in patients undergoing Medtronic SCS trial and permanent implant procedures. E-consent was obtained through the HIPAA compliant, mobile software platform. All data was de-identified, aggregated and analyzed. RESULTS A total of 20 patients (15-trial SCS and 5 permanent SCS patients) agreed to participate and logged onto the mobile software platform. For trial SCS patients, 100% of those that participated experienced >50% pain relief as documented in their patient-reported outcomes. Furthermore, patients found various features of the software platform helpful for navigating different aspects of their SCS procedure, with 81% finding MMS helpful in preparing for their SCS procedure, 88% finding MMS helpful in recovering from their SCS procedure and 94% in communicating with their Clinical Specialist Educator. In addition, 95% of patients would recommend MMS to a friend or family member. CONCLUSION The MMS platform appears to have utility both during the SCS Trial and Permanent procedures. In patients with chronic pain, novel patient engagement and follow-up tools such as MMS may be a good option for keeping patients engaged with the therapy and ensuring patients stay on track during their procedural journey. Randomized, controlled trials with extended follow-up are in progress and needed to further evaluate the utility of MMS in patients with chronic pain undergoing SCS.

Development of a Science Gateway Software Platform for CCS Decision Support and Stakeholder Engagement

2021 ◽  
Author(s):  
Kevin Ellett ◽  
Jun Wang ◽  
Marcus Christie ◽  
Sudhakar Pamidighantam ◽  
Eroma Abeysinghe ◽  
...  
Keyword(s):  
Decision Support ◽  
Stakeholder Engagement ◽  
Software Platform ◽  
Science Gateway

Using Cross-Validation to Evaluate CERES-Maize Yield Simulations within a Decision Support System for Precision Agriculture

2007 ◽  
Vol 50 (4) ◽  
pp. 1467-1479 ◽  
Author(s):  
K. R. Thorp ◽  
W. D. Batchelor ◽  
J. O. Paz ◽  
A. L. Kaleita ◽  
K. C. DeJonge
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Precision Agriculture ◽  
Cross Validation ◽  
Maize Yield

scholarly journals Towards an Open Software Platform for Field Robots in Precision Agriculture

Robotics ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 207-234 ◽  
Author(s):  
Kjeld Jensen ◽  
Morten Larsen ◽  
Søren Nielsen ◽  
Leon Larsen ◽  
Kent Olsen ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Software Platform ◽  
Field Robots

scholarly journals A Cotton High-Efficiency Water-Fertilizer Control System Using Wireless Sensor Network for Precision Agriculture

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1693
Author(s):  
Chanchan Du ◽  
Lixin Zhang ◽  
Xiao Ma ◽  
Xiaokang Lou ◽  
Yongchao Shan ◽  
...  
Keyword(s):  
Control System ◽  
Decision Support ◽  
Wireless Sensor Network ◽  
Decision Support System ◽  
Sensor Network ◽  
Support System ◽  
Precision Agriculture ◽  
High Efficiency ◽  
Wireless Sensor ◽  
Sensors And Actuators

Scientific researchers have applied newly developed technologies, such as sensors and actuators, to different fields, including environmental monitoring, traffic management, and precision agriculture. Using agricultural technology to assist crop fertilization is an important research innovation that can not only reduce the workload of farmers, but also reduce resource waste and soil pollution. This paper describes the design and development of a water-fertilizer control system based on the soil conductivity threshold. The system uses a low-cost wireless sensor network as a data collection and transmission tool and transmits the data to the decision support system. The decision support system considers the change in soil electrical conductivity (EC) and moisture content to guide the application of water-fertilizer, and then improves the fertilization accuracy of the water-fertilizer control system. In the experiment, the proposed water-fertilizer control system was tested, and it was concluded that, compared with the existing traditional water-fertilizer integration control system, the amount of fertilizer used by the system was reduced by 10.89% on average, and it could save 0.76–0.87 tons of fertilizer throughout the whole growth period of cotton.

scholarly journals GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data

Agriculture ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. 73 ◽  
Author(s):  
Corentin Leroux ◽  
Hazaël Jones ◽  
Léo Pichon ◽  
Serge Guillaume ◽  
Julien Lamour ◽  
...  
Keyword(s):  
Decision Support ◽  
Open Source ◽  
Precision Agriculture ◽  
Decision Support Tool ◽  
Support Tool
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