Abstract: Systems and methods for managing post-harvest crop quality and pests. A post-harvest monitoring system receives sensor device measurements from sensors deployed within a commodity storage facility. The system analyzes the sensor measurements and, optionally, other data, and provides a user with a representation of the storage facility that includes air flow, temperature, and/or moisture content readouts, along with stored commodity quality and/or stored commodity business metrics predictions concerning infestation level, visible mold, dry matter loss, germination capacity, gas concentration, and estimates of commodity value and profit margin under a variety of post-harvest monitoring system-recommended or user-specified scenarios. Use of the system thus enhances stored commodity quality, marketability and food safety by providing solutions that combat spoilage manifestations and guide end users to efficient pest management.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: The present disclosure generally relates to methods and apparatuses that determine quality and authenticity (e.g., adulteration, incorrect labeling, etc.) of agricultural commodities based on near-infrared spectrometers and chemometrics.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Systems and methods for managing post-harvest crop quality and pests. A post-harvest monitoring system receives sensor device measurements from sensors deployed within a commodity storage facility. The system analyzes the sensor measurements and, optionally, other data, and provides a user with a representation of the storage facility that includes air flow, temperature, and/or moisture content readouts, along with stored commodity quality and/or stored commodity business metrics predictions concerning infestation level, visible mold, dry matter loss, germination capacity, gas concentration, and estimates of commodity value and profit margin under a variety of post-harvest monitoring system-recommended or user-specified scenarios. Use of the system thus enhances stored commodity quality, marketability and food safety by providing solutions that combat spoilage manifestations and guide end users to efficient pest management.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Abstract: Embodiments of systems and approaches for managing post-harvest crop quality and pests are described. Such a system may include a plurality of edge devices each comprising sensor components and collectively forming a mesh network, for measuring the local physical environment within stored crops and, for example, transmitting the measurements to a service from within the crop storage area. In certain embodiments, such a system may be used to manage post-harvest crops and storage areas—for example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.