Embodiments of the present invention are directed to lightweight, portable spectrograph systems configured for applications in high-throughput crop phenotyping and plant health assessment, and associated methods.

Disclosed are a system and method for managing a smart farm using a self-contained hydrogen power system. A system for managing a smart farm includes a self-contained hydrogen generation unit configured to purify intake-water, generate clean hydrogen through water electrolysis, generate energy through a fuel cell by using the generated clean hydrogen, and store the energy; and a growing condition control unit configured to receive, from the self-contained hydrogen generation unit, energy for driving a plurality of sensors and a camera and control an environment for growing agricultural produce.

A method for analysis of algae, comprising: receiving a microscopic image of algae by a cloud server (2501), the microscopic image including a scaling pattern for determining a magnification; determining the magnification by the cloud server based on the scaling pattern (2502); and analyzing the microscopic image by the cloud server based on the magnification to obtain an analysis result (2503).

The invention relates to a handheld device and method for determining a status of a plant. The device includes a multi pixel digital colour sensor, a light source arranged for providing broadband illumination, wherein the light source and the multi pixel digital colour sensor are arranged in substantially the same plane, a light guide for guiding the light from said light source into the direction of the multi pixel digital colour sensor, a sample space, provided between the multi pixel digital colour sensor and the light source, for insertion of at least a part of the plant therein, and a processing unit configured for controlling at least the multi pixel digital colour sensor and the light source.

A farming machine is configured to identify and treat plants in a field. The farming machine includes one or more light sensors for measuring a characteristic of light. The one or more light sensors are coupled to the farming machine and are directed a substantially upwards orientation away from the plants. A control system adjusts settings of an image acquisition system based on a characteristic of light measured by the one or more light sensors. The image acquisition system captures an image of a plant using one or more image sensors coupled to the farming machine, the one or more image sensors directed in a substantially downwards orientation towards the plants. The control system identifies a plant in the image and actuates a treatment mechanism to treat the identified plant.

A sensor arrangement for evaluating agricultural material, the arrangement comprising: a housing having an opening, the opening configured with a window transparent to electromagnetic waves; a detector arranged in the housing for detecting electromagnetic waves coming in through the window; a flexible seal element disposed between the window and the housing; and a compression member proximate at least one of the opening, the housing, the window and the seal element, the compression member configured to press the window against the seal element to seal off the housing.

A processor implemented method of detecting a concentration of plurality of chemical residue in an agricultural produce is provided. The method include (a) receiving, by a hyper spectral device, a data set associated with one or more reflectance measurements of the agricultural produce; (b) determining, data associated with a plurality of bands; (c) dynamically reiterating, the steps (a) and (b) at predetermined time interval to obtain a trained dataset; (d) determining, relevant wavelengths among the selected trained data sets based on a feature selection technique to form an array of emitters; (e) calibrating, by the identified array of emitters, to emit light on the detecting region of one or more sample of the agricultural produce to obtain data associated with reflectance and transmittance; and (f) calculating, a calibration index with a de-multiplication flag to detect presence or absence of the plurality of chemical residue in the agricultural produce.

A method comprising: activating a strobed or pulsed illumination source to produce illuminating light; polarising the illuminating light in a first polarisation axis; illuminating at least part of a tall plant crop with the polarised illuminating light to produce reflected illuminating light; polarising the reflected illuminating light in a second polarisation axis transverse to the first polarisation axis produce cross-polarised reflected illuminating light; capturing an image of at least part of the tall plant crop using the cross-polarised reflected illuminating light; and analysing the captured image to determine a condition of the tall plant crop. Also a vehicle mounted image capture system, a vehicle mounted spraying system and a plant health management system.

The present disclosure discloses a method for evaluating the nutritional status in plants, using visible-to-shortwave (VIS-SWIR) infrared reflectance spectroscopy of carbohydrates, particularly in almond trees. The method comprises obtaining a dry plant sample (i.e. leaves, branches and roots), digesting and grinding it to a powder, capturing predetermined spectral data of the ground plant sample, correlating said spectral data to predetermined materials and evaluating said nitrogen status of said plants according to predetermined multivariate statistical models. The data obtained from this method facilitates crop management and fertilization by providing the nitrogen status of the plants based on non-structural carbohydrates.

A method and system are provided for determining a threshing loss in a threshing system. The method includes irradiating a crop sample downstream at least a portion of a threshing system with electromagnetic waves having a frequency in a range of 0.1-10 THz, measuring a reflection and/or a transmission of the electromagnetic waves by the crop sample, establishing, based on the measured reflection and/or transmission, an at least two-dimensional terahertz image of the crop sample, identifying at least one ear in the terahertz image, identifying at least one grain kernel in the identified ear, and determining the threshing loss based on the identified grain kernel.