A mold sensor is configured with an enclosed chamber in which a nutrient-treated substrate is positioned. The mold sensor includes a sensor for measuring electrical properties of the substrate. The substrate includes conductive elements to interface with a controller to measure the electrical properties. The controller operates the sensor and is programmed to detect a presence of mold growing in the chamber based on the electrical properties.

Described herein are techniques for generating contextually rich plant images. A number of data captures of raw plant data are generated via a sensing unit configured to navigate a growing facility. Metadata is generated and assigned to the raw plant data including at least one of: plant location, timestamp, plant identification, plant strain, facility identification, facility location, facility type, health risk factors, plant conditions, and human observations. Images generated by the sensing unit are analyzed and pixel annotations are generated in the images based on their relation to one or more plant well-being features. Data tags are generated and assigned the data captures based on an analysis of the data captures. The data tags are text phrases linking a particular data capture to a specific threat to plant well-being.

A method and system are disclosed for providing consistent images of leaves of plants, including articulating a lower case of a housing with respect to an upper case via an imaging chamber articulation mechanism from i) a closed state to ii) an open state, the articulable space forms an imaging chamber which is dark when the imaging chamber articulation mechanism is in the closed state, placing the leaf within the imaging chamber, articulating the imaging chamber articulation mechanism to the closed state, activating one or more light sources, actuating a linear actuator to thereby linearly move a camera from i) an initial position to ii) an end position, obtaining images from the camera, re-actuating the linear actuator to thereby linearly move the camera from the end position to the initial position, re-articulating the lower case to the open state, and removing the leaf.

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.

The present invention discloses a system and a method for detecting different developmental stages of fungi life cycle in postharvest crops. More particularly, the system comprises a measuring transducer, such as a CMOS photodetector and immobilized fungal nucleic acid strands. RNA from the tested postharvest produce sample is loaded onto the system of the present invention, and specific fungal mRNA transcripts anneal to the immobilized strands. A reporter strand conjugated to a signal-generating component further binds the mRNA transcripts, and when a detectable reaction is produced post binding, the transducer captures said reaction and converts it to measurable values, indicating the quantity, presence and the developmental stage of the fungus.

A detection device according to an aspect of the present disclosure includes a detection portion that contains a substance that emits fluorescence in a case of being irradiated with light when reacting with a plant hormone.

Methods and systems for estimating a surface runoff based on a pixel scale are disclosed. In some embodiments, the method includes the following steps: (1) calculating a vegetation canopy interception water storage, a litterfall interception water storage, and a soil water storage according to an obtained original remote sensing dataset of a climate element in a study area; (2) calculating a vegetation-soil interception water conservation in the study area based on an established vegetation-soil interception water conservation estimation model according to the vegetation canopy interception water storage, the litterfall interception water storage, the soil water storage, and monthly precipitation; and (3) calculating a surface runoff in the study area based on an established water balance water conservation estimation model according to the monthly precipitation, monthly snowmelt, monthly actual evapotranspiration, and the vegetation-soil interception water conservation in the study area.

A system for detecting fungus, virus, and disease-causing pathogens in an agricultural industry using artificial intelligence, which comprises: an unmanned aerial vehicle (UAV); and a ground terminal telecommunicating with the UAV using a wireless access communication, wherein the UAV comprises a wireless transmitter for transmitting data to and from the ground terminal, an array of cantilevers on a substrate located at one side of the wireless transmitter, a blacklight located at the other side of the wireless transmitter, and a sensory part located on the wireless transmitter, wherein the cantilever is made up of beams anchored at one end and projecting into space, and wherein the sensory part comprises a scanner with a high-definition microscope camera, a laser sensor for three-dimensional areal mapping, an infrared sensor, a humidity sensor, a thermostat, a gas sensor, a thermal sensor, an optical dust particle sensor, an electro-optical sensor, and an air quality sensor, and wherein the ground terminal comprises an artificial intelligence machine-learning and data-mining platform wirelessly telecommunicating with the UAV.

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.

Provided are a crop growth information monitoring method and device and a method for manufacturing a crop growth information monitoring device. The crop growth information monitoring device includes an air exchange channel support, a crop information sensing sensitive layer, an electrode, and a substrate. The air exchange channel support is disposed on the substrate, and in a case where the air exchange channel support is in contact with a monitoring point on a surface of a crop, a gas exchange channel is formed between the crop information sensing sensitive layer and the surface of the crop. The crop information sensing sensitive layer is configured to sense information about molecules emitted through crop transpiration so as to generate a molecule concentration capture signal. The electrode is plated on an upper surface of the substrate, and the crop information sensing sensitive layer is coated on the electrode.