In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.

A true leaf and a plurality of artificial leaves are attached on a white reference substrate. A first light source radiates a reference beam of 905 nm while sequentially scanning toward the white reference substrate. A second light source radiates a measuring beam of 1550 nm while sequentially scanning toward the white reference substrate. A threshold level setter/water content index detector calculates a relative water content of a true leaf based on the intensity of each reflection light of the reference beam and the measuring beam which are respectively reflected by the true leaf and a plurality of artificial leaves.

A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity for existence of output conditions associated with the permanent crops based on the data values for the variables of the site and crop datasets. Also, a satellite model predicts a propensity for existence of the output conditions at the orchard based on processed satellite images. A precision agriculture management model is disclosed that integrates the orchard data learned model with the satellite model to accurately predict the output conditions.

A coastal severe saline-alkali soil improvement and vegetation construction system consists of four parts of content, respectively a soil improvement part, a saline-alkaline tolerant plant resource utilization and planting technology part, an irrigation and drainage mating system part, and a part for managing saline-alkaline soil improvement and operation by adopting an automated information technology. A whole set of complete operation system is formed for performing improvement and vegetation construction on saline-alkaline soil from the four parts, thereby providing a feasible high-efficiency method for saline-alkaline soil improvement of a coastal region.

A coastal severe saline-alkali soil improvement and vegetation construction system consists of four parts of content, respectively a soil improvement part, a saline-alkaline tolerant plant resource utilization and planting technology part, an irrigation and drainage mating system part, and a part for managing saline-alkaline soil improvement and operation by adopting an automated information technology. A whole set of complete operation system is formed for performing improvement and vegetation construction on saline-alkaline soil from the four parts, thereby providing a feasible high-efficiency method for saline-alkaline soil improvement of a coastal region.

A method for increasing yield or vigor of a plant is provided, which includes the selective removal of the plant's shoot apical meristem at a period between vegetative growth stage 1 and vegetative growth stage 2, or between vegetative growth stage 2 and vegetative growth stage 3.

A method for increasing yield or vigor of a plant is provided, which includes the selective removal of the plant's shoot apical meristem at a period between vegetative growth stage 1 and vegetative growth stage 2, or between vegetative growth stage 2 and vegetative growth stage 3.

An information processing device according to the present technology includes an event determining section configured to determine occurrence or nonoccurrence of an event on the basis of a measurement result of a microscopic measuring unit configured to perform measurement of a microscopic measurement area as an area of a first size in a measurement target, and a control section configured to perform control, in a case where the event determining section determines that the event has occurred, such that a macroscopic measuring unit configured to perform measurement of a macroscopic measurement area as an area of a larger size than the first size in the measurement target performs measurement targeted at the macroscopic measurement area having relation to the microscopic measurement area in which the event is determined to have occurred.

An information processing device according to the present technology includes an event determining section configured to determine occurrence or nonoccurrence of an event on the basis of a measurement result of a microscopic measuring unit configured to perform measurement of a microscopic measurement area as an area of a first size in a measurement target, and a control section configured to perform control, in a case where the event determining section determines that the event has occurred, such that a macroscopic measuring unit configured to perform measurement of a macroscopic measurement area as an area of a larger size than the first size in the measurement target performs measurement targeted at the macroscopic measurement area having relation to the microscopic measurement area in which the event is determined to have occurred.