Rapid disease response via particle monitoring

1. A rapid response system for controlled environment agriculture (CEA) applications, the rapid response system comprising management software in communication with one or more sensors and one or more controls,

wherein the one or more sensors include a camera-sensor based detector of airborne pathogenic biological particles;

wherein settings of one or more controls influence a rate of growth or lifecycle of biological pathogens;

wherein the management software rapidly responds to sensor detection of airborne pathogenic biological particles by influencing at least one of the rate of growth or lifecycles of biological pathogens via modification of the control settings;

wherein at least one camera-sensor based detector is placed inside a greenhouse and at least one other camera-sensor based detector is placed outside the greenhouse; and

wherein windows of the greenhouse for cool air circulation are only opened if the at least one other camera-sensor based detector outside the greenhouse indicates that outside air is free of pathogens of concern.

2. The rapid response system as in claim 1 wherein sensor detection of pathogenic biological particles and response of management software occur within an asymptomatic phase of a fungal infection.

3. The rapid response system as in claim 2 wherein a first cycle of pathogen detection and response by the management software is followed by a second cycle of pathogen detection and response by the management software, each of the first and second cycles being within the asymptomatic phase of a fungal infection.

4. The rapid response system of claim 1 wherein the modification of control settings includes application of fungicides.

5. The rapid response system of claim 1 wherein the modification of control settings is done automatically.

6. The rapid response system of claim 1 wherein the modification of control settings comprises at least one modification being based on one or more inputs from a user and at least one other modification being autonomous.

7. The rapid response system of claim 1 wherein the modification of control settings is done manually by a human operator in response to an alert from the management software.

8. The rapid response system of claim 1 wherein at least one camera-based detector is mounted on at least one of a robot or a drone.

9. A rapid response system for controlled environment agriculture (CEA) applications, the rapid response system comprising management software in communication with one or more sensors and one or more controls,

wherein the one or more sensors include a camera-sensor based detector of airborne pathogenic biological particles;

wherein settings of one or more controls influence a rate of growth or lifecycle of biological pathogens;

wherein the management software rapidly responds to sensor detection of airborne pathogenic biological particles by influencing at least one of the rate of growth or lifecycles of biological pathogens via modification of the control settings;

wherein at least one camera-sensor based detector is placed inside a greenhouse and at least one other camera-sensor based detector is placed outside the greenhouse; and

wherein data from the camera-sensor based detector is used to determine one or more of when windows of the greenhouse should be opened, a duration that the windows should remain open, whether the windows should remain closed, or whether the greenhouse should be cooled using a technique other than opening the windows.

10. A rapid response system for controlled environment agriculture (CEA) applications, the rapid response system comprising management software in communication with one or more sensors and one or more controls,

wherein the one or more sensors include a camera-sensor based detector of airborne pathogenic biological particles;

wherein settings of one or more controls influence a rate of growth or lifecycle of biological pathogens;

wherein the management software rapidly responds to sensor detection of airborne pathogenic biological particles by influencing at least one of the rate of growth or lifecycles of biological pathogens via modification of the control settings; and

wherein before a pathogen is detected, the management software uses measurements from climate-condition sensors to determine which pathogens of concern are most likely to become active and then optimizes settings of the camera-sensor based detector for detection of those pathogens that are most likely to become active.