A computing system includes processors and computer-readable media having stored instructions that, when executed, cause the system to receive a machine data set, retrieve one or more spatial data files, process the spatial data files and the machine data set using a regression machine learning model to generate predicted values, determine a plurality of environment-specific varietal responses for each agricultural field, generate a multi-genetics planting recommendation and a map layer showing respective predicted variety profile index values for each agricultural field, and display the multi-genetics planting recommendation and the map layer via a graphical user interface.

The present invention disclose methods for increasing chromium in white kidney bean. The method comprises preparing field, performing a first treatment to the seeds of the white kidney bean, performing a second treatment during the seeding period, performing a third treatment during the flowering period, performing a forth treatment during the fruiting period and performing a fifth treatment during the maturing period. Meanwhile, the amount of chromium in the white kidney bean produced according to the present invention is approximately from 400 to 800 mg/kg.

The present invention disclose methods for increasing chromium in white kidney bean. The method comprises preparing field, performing a first treatment to the seeds of the white kidney bean, performing a second treatment during the seeding period, performing a third treatment during the flowering period, performing a forth treatment during the fruiting period and performing a fifth treatment during the maturing period. Meanwhile, the amount of chromium in the white kidney bean produced according to the present invention is approximately from 400 to 800 mg/kg.

The invention discloses gene sequences of a plant EPSPS mutant and its application in plants. As compared to the wild type, the present disclosure describes a plant EPSP synthase (EPSPS) polypeptide which comprises amino acid V mutating to amino acid A corresponding to the location at V403 or the analogous location at V403, wherein the amino acid position corresponds to the amino acid position set forth in SEQ ID NO:1.

A method includes processing machine or spatial data of an agricultural field using a machine learning model to generate variety profile index values, and generating agricultural output data for transmission to a client device. A computing system includes processors and memory storing instructions that, when executed, process machine or spatial data of an agricultural field using a machine learning model to generate variety profile index values, and generate output data for a client device. A non-transitory computer-readable medium includes instructions that, when executed, process machine or spatial data of an agricultural field using a machine learning model to generate variety profile index values, and generate agricultural output data for a client device.

A method for removing organic pollutants from water bodies by activating persulfate with nutrient-enhanced soybean sprout-based biochar involves a method for removing organic pollutants from water bodies by activating persulfate with biochar. The invention is intended to solve the technical problems that existing biochar materials show poor catalytic activity when used for activating persulfate and requires the addition of a large amount of modifiers, which easily leads to secondary pollution to the environment, and the existing biochar materials are susceptible to interference from halogen ions, oxoanions, and natural organic matters in a persulfate system. The raw material of a catalyst used in the invention is soybean, and has an activation process mainly based on non-radical activation, exhibiting high reaction rate and saving persulfate. With the addition of 0.2 g/L catalyst and 0.5 mM potassium persulfate, the degradation efficiency against 10 mg/L phenol can reach 100% within 10 min.

A method for removing organic pollutants from water bodies by activating persulfate with nutrient-enhanced soybean sprout-based biochar involves a method for removing organic pollutants from water bodies by activating persulfate with biochar. The invention is intended to solve the technical problems that existing biochar materials show poor catalytic activity when used for activating persulfate and requires the addition of a large amount of modifiers, which easily leads to secondary pollution to the environment, and the existing biochar materials are susceptible to interference from halogen ions, oxoanions, and natural organic matters in a persulfate system. The raw material of a catalyst used in the invention is soybean, and has an activation process mainly based on non-radical activation, exhibiting high reaction rate and saving persulfate. With the addition of 0.2 g/L catalyst and 0.5 mM potassium persulfate, the degradation efficiency against 10 mg/L phenol can reach 100% within 10 min.

The subject invention provides compositions and methods for reducing the carbon footprint of producing biofuels. Microbe-based soil treatment compositions are utilized to reduce greenhouse gas emissions resulting from the agricultural practices of producing feedstock crops.

The subject invention provides compositions and methods for reducing the carbon footprint of producing biofuels. Microbe-based soil treatment compositions are utilized to reduce greenhouse gas emissions resulting from the agricultural practices of producing feedstock crops.

The present invention discloses methods for increasing chromium in white kidney bean. The method comprises preparing field, performing a first treatment to the seeds of the white kidney bean, performing a second treatment during the seeding period, performing a third treatment during the flowering period, performing a fourth treatment during the fruiting period and performing a fifth treatment during the maturing period. Meanwhile, the amount of chromium in the white kidney bean produced according to the present invention is from 400 to 800 g/kg.