A dynamic detection device for the growth of a potted crop, includes a detection platform and a rotating shaft. A first cantilever frame is fixed at an upper portion of the rotating shaft; a laser ranging sensor is mounted at a tail end of the first cantilever frame; a second cantilever frame is fixed at a lower portion of the rotating shaft, and a pressure sensor is mounted at a tail end of the second cantilever frame. The detection platform has several bases; weight information crop is collected via a load sensor; stem diameter and plant height information crop is collected via the pressure sensor, a photoelectric encoder and the laser ranging sensor; and growth information crop is described through information fusion, which can improve the efficiency and continuously monitor dynamic change information about the growth of a target crop in a growth process.

A biowall has a support structure, an irrigation system, and a dissolution system. The support structure holds a plurality of plants thereon. The dissolution system dissolves pollutants from air into solution. Using the irrigation system, the solution with dissolved pollutants therein can then be supplied to roots of one or more plants supported by the biowall support structure. At least a portion of the dissolved pollutants supplied to the roots can be metabolized, for example, by bacteria at the roots of the plants. For example, the pollutants can include volatile organic compounds (VOCs). In some embodiments, the biowall can be constructed as a self-supporting, stand-alone unit.

A method and system is provided for agriculture field clustering and ecological forecasting. The present application provides a method and system for agriculture field clustering and ecological forecasting based on the clustered agriculture fields, comprises capturing an absolute ground data representing a plurality of field measurements of the agriculture fields; capturing a plurality of weather conditions of the agriculture fields; generating a feature set comprising of said absolute ground data and weather data of the agriculture fields; adaptively clustering the plurality of agriculture fields based on the feature set to generate a cluster; generating a generic forecasting model for ecological forecasting comprising of common features of the feature set in said cluster; selecting at least one feature out of the feature set for generating a plurality of adaptive forecasting model based for ecological forecasting and recommending control measures to a user.

A method and system is provided for agriculture field clustering and ecological forecasting. The present application provides a method and system for agriculture field clustering and ecological forecasting based on the clustered agriculture fields, comprises capturing an absolute ground data representing a plurality of field measurements of the agriculture fields; capturing a plurality of weather conditions of the agriculture fields; generating a feature set comprising of said absolute ground data and weather data of the agriculture fields; adaptively clustering the plurality of agriculture fields based on the feature set to generate a cluster; generating a generic forecasting model for ecological forecasting comprising of common features of the feature set in said cluster; selecting at least one feature out of the feature set for generating a plurality of adaptive forecasting model based for ecological forecasting and recommending control measures to a user.

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.

Methods and systems for generating a plasma-activated liquid or gas, and applying the plasma-activated liquid for agricultural use. A system embodiment includes a hand-held device that can be pointed and directed at different target areas of a plant. A method embodiment includes generating a plasma discharge in a gas environment or a liquid environment, and applying the gas/liquid to a plant.

Methods and systems for generating a plasma-activated liquid or gas, and applying the plasma-activated liquid for agricultural use. A system embodiment includes a hand-held device that can be pointed and directed at different target areas of a plant. A method embodiment includes generating a plasma discharge in a gas environment or a liquid environment, and applying the gas/liquid to a plant.

The purpose of the present invention is to establish a technology that enables individuals who do not have any special knowledge regarding soil to easily obtain soil that is rich in microorganisms in good balance and is suited to growing plants. This kit for producing a plant growth medium is provided with a base medium 1 comprising organic matter and a microorganism-containing capsule 2 serving as a packaging container comprising microorganisms. The plant growth medium 3 is produced by adding the microorganisms included in the microorganism-containing capsule 2 to the base medium 1.

A signal processing apparatus, method, and program that enable growth conditions of vegetation to be easily confirmed are disclosed. An NDVI relative value calculation provides a relative value to an average of a vegetation index indicative of growth conditions of grass, on the basis of a sensing image. An image indicative of the growth conditions of an inspection object can be displayed on the basis of the relative value. Further, an NDVI average calculation section calculates an NDVI average obtained by averaging normalized difference vegetation indexes NDVI indicative of the growth conditions of the grass in the entire grass, and a correlation coefficient calculation section calculates a correlation coefficient that matches the NDVI average with a predetermined NDVI specified value. The NDVI relative value calculation applies the correlation coefficient in providing the relative value in each measurement unit in which a measurement is performed on the grass.