Provided are methods for growing and shipping sprouts and microgreens in the same container, growing while in shipment using moisture provided in a water-absorbent layer, with optional added beneficials, and including methods for producing sprouts and microgreens for consumption, and for pharmaceutical/nutriceutical use, comprising growth of sprouts in retail-ready containers, the container comprising a moisture-retaining layer of agar media or the like providing water for growth and obviating the need for irrigation during sprout growth. In certain aspects, media is supplemented with beneficial organisms or additives such as probiotic microbes, vitamins (e.g., B12), cofactors, nutrients, and other items (e.g., phytochemicals, natural colors, and antioxidants) which promote the growth of the beneficial microbes on the product, and/or which become incorporated into the product. In certain aspects, added beneficial microorganisms are selected to compete/antagonize human pathogens such as Listeria, Salmonella, enterohaemorrhagic E. coli, Yersinia, and/or spoilage organisms (e.g., Erwinia, Pseudomonas and Xanthomonas).

Provided are methods for growing and shipping sprouts and microgreens in the same container, growing while in shipment using moisture provided in a water-absorbent layer, with optional added beneficials, and including methods for producing sprouts and microgreens for consumption, and for pharmaceutical/nutriceutical use, comprising growth of sprouts in retail-ready containers, the container comprising a moisture-retaining layer of agar media or the like providing water for growth and obviating the need for irrigation during sprout growth. In certain aspects, media is supplemented with beneficial organisms or additives such as probiotic microbes, vitamins (e.g., B12), cofactors, nutrients, and other items (e.g., phytochemicals, natural colors, and antioxidants) which promote the growth of the beneficial microbes on the product, and/or which become incorporated into the product. In certain aspects, added beneficial microorganisms are selected to compete/antagonize human pathogens such as Listeria, Salmonella, enterohaemorrhagic E. coli, Yersinia, and/or spoilage organisms (e.g., Erwinia, Pseudomonas and Xanthomonas).

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.

A kit for preparing an imbibition medium in a treatment for priming seeds, including and configured for a combined application of at least two different agents, the agents being chosen from: a) one or more activators of germination of the seeds, the concentration of the or each of the activators in the imbibition medium being 0.01-10 mM, b) one or more agents capable of providing protection to the seeds and/or the plants resulting therefrom, the concentration in the imbibition medium of the or each of the agents being 0.01-10 mM, and c) one or more regulators of the cellular oxidative mechanisms of the seeds.

A kit for preparing an imbibition medium in a treatment for priming seeds, including and configured for a combined application of at least two different agents, the agents being chosen from: a) one or more activators of germination of the seeds, the concentration of the or each of the activators in the imbibition medium being 0.01-10 mM, b) one or more agents capable of providing protection to the seeds and/or the plants resulting therefrom, the concentration in the imbibition medium of the or each of the agents being 0.01-10 mM, and c) one or more regulators of the cellular oxidative mechanisms of the seeds.

Techniques are described herein for using artificial intelligence to predict crop yields based on observational crop data. A method includes: obtaining a first digital image of at least one plant; segmenting the first digital image of the at least one plant to identify at least one seedpod in the first digital image; for each of the at least one seedpod in the first digital image: determining a color of the seedpod; determining a number of seeds in the seedpod; inferring, using one or more machine learning models, a moisture content of the seedpod based on the color of the seedpod; and estimating, based on the moisture content of the seedpod and the number of seeds in the seedpod, a weight of the seedpod; and predicting a crop yield based on the moisture content and the weight of each of the at least one seedpod.

Techniques are described herein for using artificial intelligence to predict crop yields based on observational crop data. A method includes: obtaining a first digital image of at least one plant; segmenting the first digital image of the at least one plant to identify at least one seedpod in the first digital image; for each of the at least one seedpod in the first digital image: determining a color of the seedpod; determining a number of seeds in the seedpod; inferring, using one or more machine learning models, a moisture content of the seedpod based on the color of the seedpod; and estimating, based on the moisture content of the seedpod and the number of seeds in the seedpod, a weight of the seedpod; and predicting a crop yield based on the moisture content and the weight of each of the at least one seedpod.

The invention discloses a method of rapid generation-adding breeding of rice in the technical field of rice breeding, including soaking seeds of the rice, germination, seedlings cultivation, managing and regulating of the rice at the growth stage, and harvesting the rice. The managing and regulating the rice at the growth stage includes dynamic light quality and photoperiod control in vegetative growth period, heading period and pustulation period; growth period involves light environment regulation with the ratio of red light:blue light:white light of 0.8-1:0.8-1:1.0, photoperiod of 16-18 h; heading period involves light environment regulation with the ratio of red light:blue light:white light of 1-2:0.5-1:1, photoperiod of 12-13.5 h; and pustulation period includes light environment regulation with the ratio of red light:blue light:white light of 1-2:1:1, photoperiod of 16-18 h.

The invention discloses a method of rapid generation-adding breeding of rice in the technical field of rice breeding, including soaking seeds of the rice, germination, seedlings cultivation, managing and regulating of the rice at the growth stage, and harvesting the rice. The managing and regulating the rice at the growth stage includes dynamic light quality and photoperiod control in vegetative growth period, heading period and pustulation period; growth period involves light environment regulation with the ratio of red light:blue light:white light of 0.8-1:0.8-1:1.0, photoperiod of 16-18 h; heading period involves light environment regulation with the ratio of red light:blue light:white light of 1-2:0.5-1:1, photoperiod of 12-13.5 h; and pustulation period includes light environment regulation with the ratio of red light:blue light:white light of 1-2:1:1, photoperiod of 16-18 h.