62 results about "Agricultural commodity" patented technology

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 analyzes.

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 analyzes.

A system and method for transferring agricultural material from a transferring vehicle to a storage portion of a receiving vehicle, and detecting and filling void areas of the agricultural material is disclosed. A transferring vehicle having a spout transfers agricultural material to a storage portion of a receiving vehicle. An imaging device associated with the transferring vehicle and facing towards the storage portion of the receiving vehicle collects imaging data. An image processing module is operable to, based on the imaging data, estimate fill levels of agricultural material within the storage portion; identify an area of the storage portion as targeted to fill; and identify a first void within the targeted area. A controller in communication with the image processing module is configured to command the spout to a position to direct agricultural material to the first void.

Using a general-purpose computer, the method and system of the present invention enables the forecasting of agricultural commodity prices and amounts of consumption, production and trade flows across regions, under a variety of supply and demand, trade and domestic policy scenarios and over an at least annual time period. The method employs a multi-component spatial equilibrium function approximating an inter-regional market in agricultural commodities, such as dairy commodities, and enables the setting of trade and domestic policy instruments to enable forecasting under a variety of forecast scenarios. The function further enables the incorporation of intermediate commodities, in addition to primary and processed commodities, to account for the effects of reconstitution technologies on said forecasted values. The method generally comprises creating an inputs database comprising a definition of the regions and forecast scenarios, and a plurality of dairy sector data spanning a number of recent years including commodity prices and amounts of consumption, production and trade flow in the regions; refining the function; solving the refined function by maximizing a consumer and a producer surplus net of all transaction costs, to generate the forecasts; and, outputting the forecasts to a results database. The method may further solve for an optimal amount of intermediate commodities consumed in the making of the final processed commodities by region under an assumption of optimal use to further refine the forecasts. The system outputs in the forms of graphs, spreadsheets, maps, or other formats can be delivered electronically through various media.

An agricultural commodity cart loading conveyor apparatus comprises a conveyor mounted to an agricultural commodity cart. A hopper is pivotally attached to the lower end of the conveyor tube and a hopper conveyor section is mounted along a bottom of the hopper. The hopper pivots from an extended position to a folded position. In the extended position the hopper is oriented at an angle to the conveyor tube such that the hopper extends along the ground when the conveyor is in the operating position, and is connected to the lower end of the conveyor tube such that the hopper conveyor section conveys material entering the hopper into the lower end of the conveyor tube for conveyance up the conveyor tube. A lock is operative to lock the hopper and conveyor together when the hopper is in the extended position. Hydraulic cylinders can be provided to facilitate use with larger conveyors.

A method and system for disinfecting and disinfesting a commodity, such as a perishable agricultural commodity, by treatment with an environment of low oxygen/high ballast gas with cycled pressure changes that overwhelm and damage the respiratory system of the insect without damaging the host commodity. The system and method may also include the introduction of disinfectants, antiseptics and other toxic chemicals or the exposure to radio frequencies with intense electric fields that may increase the metabolic activity of the pest or decrease the fitness of the pest within the low oxygen environment. Treatments according to the methods can also increase the shelf life of agricultural commodities by eradicating or delaying the growth of bacteria, fungi, protozoa and other microbial pests.

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 portable processing plant apparatus is transported to a location convenient to a freight supplier or like destination and then set up to receive gross agricultural commodities and discharge clean agricultural commodities into a clean commodity receptacle, such as a rail car. A batch of commodity from a farm location is received into a storage bin. The batch is conveyed in a stream through a gross scale, cleaning module, and net scale and into a receptacle, such as a rail car. A gap is created between the stream of one batch and the stream of the next, and a computer is operative to control flow of the commodity streams. The computer can store batch identity information, and record the source farm location of the commodity in each receptacle.

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 analyzes.

A formulation containing conidia of non-toxigenic strains of fungi is a useful biocontrol agent for preventing toxin contamination in agricultural commodities, especially those for human and animal consumption such as peanuts, corn, cotton and tree nuts. The formulation of the invention is a water dispersible granule formulation suitable for spraying and includes non-toxigenic and/or non-aflatoxigenic Aspergillus flavus strains capable of inhibiting growth of fungi which produce aflatoxin and further capable of suppressing production of aflatoxin by the toxigenic fungi. A method of preparing the formulation is shown.

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 analyzes.

The invention discloses a storing and fresh preserving method for white flammulina velutipes, which pertains to the technical field of storage and fresh preservation of agricultural commodity. The method comprises the steps of: (1) harvesting, finishing and grading of the white flammulina velutipes; (2) preparation of anti-browning inhibitors and the treatment thereof; (3) treatment of low temperature and dryness; (4) vacuum packaging; (5) storage at ice temperature until delivering out of a storehouse and distributing to the market. The white flammulina velutipes stored by the method is characterized by reducing the rotting rate, enzymatic browning and the respiration rate, lengthening the preservation period which reaches 20 to 30 days, keeping the original color, fragrance, taste, shape and nutrition, etc., and reaching a commodity rate over 95 percent. The anti-browning inhibitors are the food additives which are permitted by the country and are safe and reliable. The method of the invention can be widely applied in the fields of production, storage and fresh preservation and operation of the flammulina velutipes.

The present invention relates to methods and compositions used to promote seed germnination, emergence, healthy root development, plant growth, disease resistance, maturity and ultimately increase tuber crop yield in agricultural commodities. The present invention also relates to seeds and seed pieces treated with the compositions and methods of the present invention. The compositions of the invention contain a polysaccharide and/or protein.

The invention discloses an electronic settlement transaction background management system and settlement methods. The electronic settlement transaction background management system mainly comprises a transaction management platform, an all-purpose card management platform, a report management platform, a seller management platform, a buyer management platform, a basic data management platform, a self-service inquiry platform, a system management platform and a help management platform. The invention also provides a buyer settlement method and a seller settlement method suitable for the electronic settlement transaction background management system. The electronic settlement transaction background management system and the settlement methods can realize non-cash transactions and reduce the phenomena of giving less quantity to consumers and putting off and detaining transaction funds and the like, and can perform unified management on a logistics market in particular come-and-go cargoes, payments, buying and selling, reports and the like in an agricultural commodity market, improve the transaction efficiency, save the management cost, and collect statistic data of commodity information, financial information and customer information of the market.

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.

The present invention relates to an x-ray detector configured to generate one-dimensional x-ray density profiles. In exemplary embodiments the x-ray detector is used for the purpose of detecting inclusions in agricultural commodities.

The present invention encompasses a system and method for tracing a particular load or series of a bulk agricultural commodity throughout the marketing process. The system includes a plurality of tracing caplets (80), each tracing caplet (80) including encoded information, a scanning device (90) capable of reading the encoded information, and a data retrieval and management system (110) operable to receive and store data, including the encoded information from a tracing caplet (80), concerning the agricultural commodity. One method for tracing agricultural commodities comprises reading information (210) encoded on a caplet contained in an agricultural commodity, and communicating (220) the information and additional data about the agricultural commodity to a data retrieval and management system (110). In another method of the present invention, data concerning an agricultural commodity is received, the data including the location of the agricultural commodity and information from a caplet dispensed into the agricultural commodity, and the data and information are stored in a database.

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.

The invention discloses a method which utilizes fluorgypsum to prepare super-fine light calcium carbonate so as to co-produce ammonium sulphate, including the following steps: the fluorgypsum is smashed and scrubbed with water to prepare fluorgypsum thin paste, and then ammonia water is added or not added, and the mixture of a surface active agent, ammonium carbonate and ammonium bicarbonate is added to carry out closed stirring reaction. Generated gas is used for recycling the ammonium bicarbonate or the ammonium carbonate. Filtration is carried out after the reaction, a filter cake is washed and dried to obtain the super-fine light calcium carbonate, and recycled washing water and filtrate obtained from the filtration are concentrated and crystallized to obtain the ammonium sulphate. The method has the advantages that: (1) the fluorgypsum is recycled as resource so as to change waste to be valuable and protect environment; 2) the fluorgypsum and the ammonium carbonate are adopted as raw materials, with low production cost; 3) the quality of products obtained by the method is better than that of products prepared by other methods and most of indicators are below the technical requirements of industrial products and agricultural commodities.

The invention provides methods for extraction of fungal (e.g., yeast spp., filamentous fungal spp.) nucleic acid (e.g., DNA, RNA) from a sample (e.g., be human or veterinary clinical or research samples, agricultural samples, agricultural commodity samples, food products, or environmental samples). In some embodiments, the present invention provides enhanced nucleic acid extraction from samples comprising fungal cell(s) wherein enzymatic (e.g., lysostaphin treatment, lyticase treatment) sample treatment is performed in combination with mechanical (e.g., bead beating) sample treatment.

A technique has been developed for degrading toxic substances such as aflatoxins-related substances, without affecting on the properties of agricultural commodities, foods and feeds. The technique includes a composition for degrading toxic substances selected from aflatoxins-related substances and toxic aromatic compounds, the composition which contains a hemin and/or heme-containing substance, and a method for detoxifying agricultural commodities, foods or feeds contaminated with toxic substances selected from aflatoxins-related substances and toxic aromatic compounds, the method which comprises contacting the contaminated agricultural commodities, foods or feeds with a hemin and/or heme-containing substance.