Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.

The present invention relates to a photovoltaic facility (1) comprising a solar tracker (2) and at least one square or rectangular photovoltaic panel (3) mounted on the solar tracker (2), this solar tracker (2) enabling the inclination of the photovoltaic panel (3) to be varied with respect to the horizontal, so that two opposite edges of the photovoltaic panel, referred to as horizontal edges (31), are always horizontal whatever the inclination of the photovoltaic panel (3). This facility is characterised in that it comprises at least one gutter (4) for recovering rainwater, in that this gutter (4) is mounted along one of the two horizontal edges (31) of the photovoltaic panel (3) using at least two anchoring devices (5), to which it is suspended, so that it can oscillate under the action of its own weight, about a horizontal axis of rotation (Y-Y′), so as to remain horizontal whatever the inclination of the photovoltaic panel (3).

There is provided a system for customized application of herbicides, comprising: a processor(s) executing a code for: feeding test images corresponding to a target agricultural field into a machine learning model trained on a training dataset of sample images of sample agricultural field(s) labelled with ground truth of weed parameters, selecting specific weed parameter(s) of according to performance metric(s) of the model, setting up instructions for triggering application of a first herbicide to a portion of the target agricultural field in response to an outcome of the model indicating likelihood of the specific weed parameter(s) being depicted in an input image of the portion of the target agricultural field, and setting up instructions for triggering application of a second herbicide to the portion of the target agricultural field in response to the outcome of the model indicating non-likelihood of the specific weed parameter(s) being depicted in the input image.

There is provided a system for customized application of herbicides, comprising: a processor(s) executing a code for: feeding test images corresponding to a target agricultural field into a machine learning model trained on a training dataset of sample images of sample agricultural field(s) labelled with ground truth of weed parameters, selecting specific weed parameter(s) of according to performance metric(s) of the model, setting up instructions for triggering application of a first herbicide to a portion of the target agricultural field in response to an outcome of the model indicating likelihood of the specific weed parameter(s) being depicted in an input image of the portion of the target agricultural field, and setting up instructions for triggering application of a second herbicide to the portion of the target agricultural field in response to the outcome of the model indicating non-likelihood of the specific weed parameter(s) being depicted in the input image.

Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.

Systems, techniques, and devices for detecting plant biometrics, for example, plants in a crop field. An imaging device of an unmanned vehicle may be used to generate a plurality of images of the plants, and the plurality of images may be used to generate a 3D model of the plants. The 3D model may define locations and orientations of leaves and stems of plants. The 3D model may be used to determine at least one biometric parameter of at least one plant in the crop. Such detection of plant biometrics may facilitate the automation of crop monitoring and treatment.

The present invention provides a longitudinally split immature tiller separated from a rhizome (LSITR), a cluster of multiple in vitro shoots (CMIT), a cluster of stem segments containing shoot primordia (CSSSP) and an in vitro tiller of Miscanthus x giganteus (Giant Miscanthus), and their uses in propagating Miscanthus x giganteus (Giant Miscanthus).

The invention discloses a method of rapid generation-adding breeding of rice in the technical field of rice breeding, including soaking seeds of the rice, germination, seedlings cultivation, managing and regulating of the rice at the growth stage, and harvesting the rice. The managing and regulating the rice at the growth stage includes dynamic light quality and photoperiod control in vegetative growth period, heading period and pustulation period; growth period involves light environment regulation with the ratio of red light:blue light:white light of 0.8-1:0.8-1:1.0, photoperiod of 16-18 h; heading period involves light environment regulation with the ratio of red light:blue light:white light of 1-2:0.5-1:1, photoperiod of 12-13.5 h; and pustulation period includes light environment regulation with the ratio of red light:blue light:white light of 1-2:1:1, photoperiod of 16-18 h.

The invention discloses a method of rapid generation-adding breeding of rice in the technical field of rice breeding, including soaking seeds of the rice, germination, seedlings cultivation, managing and regulating of the rice at the growth stage, and harvesting the rice. The managing and regulating the rice at the growth stage includes dynamic light quality and photoperiod control in vegetative growth period, heading period and pustulation period; growth period involves light environment regulation with the ratio of red light:blue light:white light of 0.8-1:0.8-1:1.0, photoperiod of 16-18 h; heading period involves light environment regulation with the ratio of red light:blue light:white light of 1-2:0.5-1:1, photoperiod of 12-13.5 h; and pustulation period includes light environment regulation with the ratio of red light:blue light:white light of 1-2:1:1, photoperiod of 16-18 h.

Growing systems may include a number of modular growing chambers adapted to be configured in a stacked arrangement with each growing chamber surrounding a corresponding portion of the plant. The grow chambers may be selectively added or removed during plant growth, such that different sections of the growing plant may be influenced differently using aeroponic, hydroponic or other growing techniques. The grow chamber stack may be portable and provided with integrated or independent lifting devices to assist an operator in adding or removing chambers from the stack. Three growing processes may be facilitated using such systems. These include a process for producing assorted product from a single plant for simultaneous harvest, a process for producing an extended harvest of a desired size product from a single plant, and a process for extending the productive life of a plant and provide for multiple, continued, and perpetual harvest.