Methods and systems for controlling a growth environment of a crop. The method comprises accessing a set of control data modeling a dynamic growth protocol for the crop; commanding a control device to implement control values; receiving, from a plurality of monitoring devices located within the growth environment, monitoring data relating to the growth environment. The method also comprises calculating a growth index; generating a yield prediction for the crop based on a prediction model; generating a predictive recommendation based on at least the monitoring data, the growth index and the yield prediction; modifying the dynamic growth protocol; and commanding the control device to implement updated control values. A profile for a growth environment of the crop may be selected from a plurality of growth environment profiles obtained from various sources and the selected profile may be updated based on a later growth index.

One variation of a method for identifying stressors in crops based on fluorescence of sensor plants includes: accessing a set of spectral images of a sensor plant sown in a crop, the sensor plant of a sensor plant type including a set of promoters and a set of reporters configured to signal a set of stressors present at the sensor plant, the set of promoters and set of reporters forming a set of promoter-reporter pairs; accessing a reporter model linking characteristics extracted from the set of spectral images of the sensor plant to the set of stressors based on signals generated by the set of promoter-reporter pairs in the sensor plant type; and identifying a first stressor, in the set of stressors, present at the sensor plant based on the reporter model and characteristics extracted from the set of spectral images.

A system and method for implementing a landscaping project on a plot of land. The system creates a flexible landscaping template that is physically placed over the land that is to be landscaped. The flexible landscaping template has graphics printed on its surface that identify a variety of plants, indicate planting positions, and identify a variety of soil conditioning products the plants. The graphics on the flexible landscaping template can also indicate the placement of water management conduits and electrical conduits, the placement of hardscaping products and/or the placement of construction foundations. The flexible landscaping template is generated using input from a user and environmental criteria for the land to be landscaped. Once the flexible landscaping template is generated, the materials identified on the flexible landscaping template are gathered into a shipping module by a supplier company.

The purpose of the present disclosure is to provide a computer system, a plant diagnosis method, and a program in which the measurement accuracy of the temperature of each site of a target is improved. The computer system acquires a visible light image and an infrared image that are imaged by a camera, identifies a region, in the visible light image, which corresponds to a predetermined site of a plant imaged by the camera, identifies a region, in the infrared image, which corresponds to the identified region in the visible light image, and diagnoses the plant based on the temperature of the identified region in the infrared image.

The purpose of the present disclosure is to provide a computer system, a plant diagnosis method, and a program in which the measurement accuracy of the temperature of each site of a target is improved. The computer system acquires a visible light image and an infrared image that are imaged by a camera, identifies a region, in the visible light image, which corresponds to a predetermined site of a plant imaged by the camera, identifies a region, in the infrared image, which corresponds to the identified region in the visible light image, and diagnoses the plant based on the temperature of the identified region in the infrared image.

A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.

A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.

One variation of a method for automating transfer of plants within an agricultural facility includes: dispatching a loader to autonomously deliver a first moduledefining a first array of plant slots at a first density and loaded with a first set of plants at a first growth stagefrom a first grow location within an agricultural facility to a transfer station within the agricultural facility; dispatching the loader to autonomously deliver a second moduledefining a second array of plant slots at a second density less than the first density and empty of plantsto the transfer station; recording a module-level optical scan of the first module; extracting a viability parameter of the first set of plants from features detected in the module-level optical scan; and if the viability parameter falls outside of a target viability range, rejecting transfer of the first set of plants from the first module.

One variation of a method for automating transfer of plants within an agricultural facility includes: dispatching a loader to autonomously deliver a first moduledefining a first array of plant slots at a first density and loaded with a first set of plants at a first growth stagefrom a first grow location within an agricultural facility to a transfer station within the agricultural facility; dispatching the loader to autonomously deliver a second moduledefining a second array of plant slots at a second density less than the first density and empty of plantsto the transfer station; recording a module-level optical scan of the first module; extracting a viability parameter of the first set of plants from features detected in the module-level optical scan; and if the viability parameter falls outside of a target viability range, rejecting transfer of the first set of plants from the first module.

A device includes an image data receiving component, a vegetation index generation component, a crop data receiving component, a masking component and a multivariate regression component. The image data receiving component receives image data of a geographic region. The vegetation index generation component generates an array of vegetation indices based on the received image data, and includes a plurality of vegetation index generating components, each operable to generate a respective individual vegetation index based on the received image data. The crop data receiving component receives crop data associated with the geographic region. The masking component generates a masked vegetation index based on the array of vegetation indices and the received crop data. The multivariate regression component generates a crop parameter based on the masked vegetation index.