The present invention disclosed fluoralkenyl compounds of general formula (I);

##STR00001##

wherein; R, R.sup.1, R.sup.2, R.sup.3, A and integers n, m and k are as defined in description. The present invention further discloses use of the compounds of general formula (I) to protect crops by controlling or preventing against undesired phytopathogenic microorganisms such as nematodes and phytopathogenic fungi.

The present invention disclosed fluoralkenyl compounds of general formula (I);

##STR00001##

wherein; R, R.sup.1, R.sup.2, R.sup.3, A and integers n, m and k are as defined in description. The present invention further discloses use of the compounds of general formula (I) to protect crops by controlling or preventing against undesired phytopathogenic microorganisms such as nematodes and phytopathogenic fungi.

In some embodiments, a computer-implemented method is disclosed. The method comprises obtaining a first digital model for classifying an image into a class of a first set of classes corresponding to a first plurality of plant diseases, a healthy condition, or a combination of a second plurality of plant diseases; obtaining a second digital model for classifying an image into a class of a second set of classes corresponding to the second plurality of plant diseases; receiving a new image from a user device; applying the first digital model to a plurality of first regions within the new image to obtain a plurality of classifications; applying the second digital model to one or more second regions, each corresponding to a combination of multiple first regions of the plurality of first regions, to obtain one or more classifications, the multiple first regions being classified into the class corresponding to the combination of the second plurality of plant diseases; transmitting classification data related to the plurality of classifications into a class corresponding to one of the first plurality of plant diseases or the healthy condition and the one or more classifications to the user device.

One variation of method for monitoring growth of plants within a facility includes: aggregating global ambient data recorded by a suite of fixed sensors, arranged proximal a grow area within the facility, at a first frequency during a grow period; extracting interim outcomes of a set of plants, occupying a module in the grow area, from module-level images recorded by a mover at a second frequency less than the first frequency while interfacing with the module during the period of time; dispatching the mover to autonomously deliver the module to a transfer station; extracting interim outcomes of the set of plants from plant-level images recorded by the transfer station while sequentially transferring plants out of the module at the conclusion of the grow period; and deriving relationships between ambient conditions, interim outcomes, and final outcomes from a corpus of plant records associated with plants grown in the facility.

A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.

A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.

An aeroponics plant growing system includes a base housing, a feeding tank within the base housing, a mixing tank within the base housing and in fluid communication with the feeding tank, and a drain tank within the base housing and in fluid communication with the mixing tank. The system also includes a cabinet having a plurality of growing cells with each growing cell separated from an adjacent growing cell and with the cabinet positioned above and supported by the base housing. In addition, the system includes a controller having a memory coupled to a processor and configured to separately control a respective growing environment of each of the growing cells.

An aeroponics plant growing system includes a base housing, a feeding tank within the base housing, a mixing tank within the base housing and in fluid communication with the feeding tank, and a drain tank within the base housing and in fluid communication with the mixing tank. The system also includes a cabinet having a plurality of growing cells with each growing cell separated from an adjacent growing cell and with the cabinet positioned above and supported by the base housing. In addition, the system includes a controller having a memory coupled to a processor and configured to separately control a respective growing environment of each of the growing cells.

An aerification system for controlling moisture content and gas exchange below a surface of one or more plant growing areas includes at least first and second sub-systems installed below the surface of the one or more plant growing areas. The first and second sub-systems each having a water permeable layer overlying a respective water impermeable layer, where the water impermeable layer defines a respective boundary of each of the first and second sub-systems. The system also includes at least one conduit connecting the water permeable layer of the first sub-system to the water permeable layer of the second sub-system, and at least one pumping system for pumping water therebetween. The pumping system is configured to alternate between pumping water to the first sub-system and the second sub-system in order to periodically raise and lower a water level in the water permeable layer of each of the first and second sub-systems.

An aerification system for controlling moisture content and gas exchange below a surface of one or more plant growing areas includes at least first and second sub-systems installed below the surface of the one or more plant growing areas. The first and second sub-systems each having a water permeable layer overlying a respective water impermeable layer, where the water impermeable layer defines a respective boundary of each of the first and second sub-systems. The system also includes at least one conduit connecting the water permeable layer of the first sub-system to the water permeable layer of the second sub-system, and at least one pumping system for pumping water therebetween. The pumping system is configured to alternate between pumping water to the first sub-system and the second sub-system in order to periodically raise and lower a water level in the water permeable layer of each of the first and second sub-systems.