A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.

A modeling framework for evaluating the impact of weather conditions on farming and harvest operations applies real-time, field-level weather data and forecasts of meteorological and climatological conditions together with user-provided and/or observed feedback of a present state of a harvest-related condition to agronomic models and to generate a plurality of harvest advisory outputs for precision agriculture. A harvest advisory model simulates and predicts the impacts of this weather information and user-provided and/or observed feedback in one or more physical, empirical, or artificial intelligence models of precision agriculture to analyze crops, plants, soils, and resulting agricultural commodities, and provides harvest advisory outputs to a diagnostic support tool for users to enhance farming and harvest decision-making, whether by providing pre-, post-, or in situ-harvest operations and crop analyses.

A stand or fixture for supporting a mower cutting unit having a base frame with side members interconnected with at least 2 cross members. A cradle supports stable engagement with a roller of a mower cutting unit, and is secured to and extends upward from and between the side members. The cradle is parallel to the cross members, and positioned above the side members, supported on and secured to riser members. Each of the riser members is secured to a side member. A support member is adjustably secured at a desired location between cross members, and has a top portion extending upwardly away from the base frame, and above the cradle. The support member includes aligned openings above the cradle for receiving and securing a support pin supporting a support chain for engaging and suspending the mower cutting unit supported within the cradle, for accessing components of the mower cutting unit for service.

Provided herein are methods, compositions, and devices relating to administration of UV-B to a seed.

Provided herein are methods, compositions, and devices relating to administration of UV-B to a seed.

Provided herein are methods, compositions, and devices relating to administration of UV-B to a seed.

Provided herein are methods, compositions, and devices relating to administration of UV-B to a seed.

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 areasfor example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

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 areasfor example, approaches are described for determining fumigation treatment duration, determining phosphine dosage, determining heat treatment duration, and determining safe storage time for crops.

Implementations described herein relate to methods, systems, apparatuses, and computer-readable media for computer-assisted and automatic harvest, sorting, pruning, and trimming of agricultural products. In one implementation, the agricultural product may be a hemp or cannabis product. In one implementation, the agricultural product is automatically pruned through use an artificial intelligence (AI)-generated cutting path. In one implementation, the agricultural product is supported by a clamping assembly. In one implementation, the agricultural product is imaged in a positive-pressure imaging assembly. In one implementation, the agricultural product is automatically trimmed in a positive pressure cutting assembly.