Source: AGRICULTURAL RESEARCH SERVICE submitted to NRP
GREENHOUSE LIGHTING AND SYSTEMS ENGINEERING
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
ACTIVE
Funding Source
USDA INHOUSE
Reporting Frequency
Annual
Accession No.
0438854
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Jan 1, 2021
Project End Date
Jan 1, 2026
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
AGRICULTURAL RESEARCH SERVICE
(N/A)
WOOSTER,OH 44691
Performing Department
(N/A)
Non Technical Summary
(N/A)
Animal Health Component
20%
Research Effort Categories
Basic
80%
Applied
20%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1022122102030%
2112123113030%
1021499116040%
Knowledge Area
102 - Soil, Plant, Water, Nutrient Relationships; 211 - Insects, Mites, and Other Arthropods Affecting Plants;

Subject Of Investigation
1499 - Vegetables, general/other; 2123 - Bedding/garden plants; 2122 - Potted plants;

Field Of Science
1130 - Entomology and acarology; 1160 - Pathology; 1020 - Physiology;
Goals / Objectives
1) Develop and simulate trajectory control algorithm for CO2/Daily Light Integral (DLI) control in greenhouse environment 2) Develop predictive algorithm for ventilation cycles in greenhouse based on indoor/outdoor conditions 3) Simulate commercial greenhouse models in various climates in US using ARSÿ¿ÿ¿ÿ¿ÿ¢ÿ¿ÿ¿ÿ¿ÿ¿ÿ¿ÿ¿ÿ¿ÿ¿ Virtual Grower program 4) Simulate semi-closed greenhouse models using Virtual Grower
Project Methods
Previous work on trajectory control algorithms for DLI (light and shade) in greenhouses will be extended to include simultaneous CO2, light and shade control. A key component of this is prediction of ventilation cycles, in order to avoid supplementing CO2 when loss rates will be high due to ventilation. Previous work by ARS on this problem will be extended to incorporate enthalpy measurements in prediction algorithms. Upgrades will be made to Virtual Grower to facilitate simulations of commercial and semi-closed greenhouse models in various climates in U.S.