The present disclosure relates to a method for building a farmland ecosystem with multiple mutual-benefit species in multiple habitats, and belongs to the technical field of agroecological environment. The present disclosure improves the resource utilization efficiency of the farmland ecosystem to the maximum extent, greatly reduces application of chemical fertilizer and pesticides, and reduces environmental damage and pollution. By means of different ecological niches of living things, a beneficial ecological service function is brought into play such that species in the farmland ecosystem can live in a suitable farmland microenvironment, competition for the same living space in the same place is avoided, and harmonious coexistence among the living things is realized; and food with high quality and a higher grain output value are provided.

The present disclosure relates to a method for building a farmland ecosystem with multiple mutual-benefit species in multiple habitats, and belongs to the technical field of agroecological environment. The present disclosure improves the resource utilization efficiency of the farmland ecosystem to the maximum extent, greatly reduces application of chemical fertilizer and pesticides, and reduces environmental damage and pollution. By means of different ecological niches of living things, a beneficial ecological service function is brought into play such that species in the farmland ecosystem can live in a suitable farmland microenvironment, competition for the same living space in the same place is avoided, and harmonious coexistence among the living things is realized; and food with high quality and a higher grain output value are provided.

A method includes obtaining data measurements associated with plants in at least one growing area. The plants have a common genotype and are grown under different growing or environmental conditions in the at least one growing area. The data measurements are associated with one or more characteristics of the plants and multiple characteristics of the growing or environmental conditions. The method also includes processing at least some of the data measurements to identify one or more of the growing or environmental conditions associated with at least one desired characteristic being expressed in the plants being grown. The method further includes outputting an identification of the one or more growing or environmental conditions identified as achieving a specific genotype or phenotype trait for the plants. The specific genotype or phenotype trait is associated with the at least one desired characteristic.

A method includes obtaining data measurements associated with plants in at least one growing area. The plants have a common genotype and are grown under different growing or environmental conditions in the at least one growing area. The data measurements are associated with one or more characteristics of the plants and multiple characteristics of the growing or environmental conditions. The method also includes processing at least some of the data measurements to identify one or more of the growing or environmental conditions associated with at least one desired characteristic being expressed in the plants being grown. The method further includes outputting an identification of the one or more growing or environmental conditions identified as achieving a specific genotype or phenotype trait for the plants. The specific genotype or phenotype trait is associated with the at least one desired characteristic.

A method includes obtaining data measurements associated with plants in at least one growing area. The data measurements are associated with a characteristic of the plants or the at least one growing area that varies based on a time of day. The method also includes identifying a baseline that indicates how the characteristic varies based on the time of day. The method further includes processing at least some of the data measurements based on the baseline to at least partially reduce an effect of the time of day and at least partially remove time of day variations from at least some of the data measurements. In addition, the method includes using at least some of the processed data measurements to perform at least one function related to the plants or the at least one growing area.

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.

An agricultural machine is disclosed that includes an NIR sensor configured to detect NIR spectra of plant material and output them as raw data, an evaluation unit configured to derive at least one parameter of the plant material in real time from the raw data, and an interface for the data traffic with at least one data processing unit outside of or external to the agricultural machine that is configured to transmit the raw data to the data processing unit.

A scan using a pulsed distance measuring light with two wavelengths of which reflectances are different with respect to a content of a nitrogen by a laser scanner, the two wavelengths are separated, lights are received, a distance measurement value and a light amount are detected for each pulsed distance measuring light and for each of the two wavelengths, a height of a crop is detected based on the distance measurement value, a received light amount ratio of the two wavelengths is detected, and a growth condition of the crop is detected based on the detected height and the received light amount ratio.

A drone with vehicular control system/sensors that can share data with other vehicles and that can communicate with the cloud to provide intelligent handling of the irrigation system. The drone can be used to dispense soil additives and to inspect plants/trees on the farm.

Provided herein are methods and systems for monitoring plants. A QR code can be associated with a plant, wherein a static QR code can be associated with a plant. The static QR code can be dynamically scanned and encoded with data that identifies the plant and contains information about the plant. The information may include geolocation information and/or image files that monitor the developmental stages of the plant. The encoded data may then be transmitted over a network to retrievable storage.