The present invention relates to the field of precision agriculture, particularly to systems and methods for providing crop coefficient (Kc) values including near real time and forecast values for the management of precise agricultural irrigation.

A carrier adjustment assembly for coupling to a frame member of an implement includes a laterally adjustable carrier configured to be coupled to an opener and a first outlet providing at least one nutrient. The assembly further includes a plurality of lateral spacers positioned adjacent to the carrier to laterally adjust the carrier and provide a plurality of adjustment positions. The carrier adjustment assembly facilitates lateral adjustment of the carrier by removal of at least one captively held lateral spacer that sets the lateral adjustment of the carrier, a lateral adjustment of the first outlet, and an adjustment of a lateral separation between a seed row provided by a second outlet and a nutrient row provided by the first outlet.

A carrier adjustment assembly for coupling to a frame member of an implement includes a laterally adjustable carrier configured to be coupled to an opener and a first outlet providing at least one nutrient. The assembly further includes a plurality of lateral spacers positioned adjacent to the carrier to laterally adjust the carrier and provide a plurality of adjustment positions. The carrier adjustment assembly facilitates lateral adjustment of the carrier by removal of at least one captively held lateral spacer that sets the lateral adjustment of the carrier, a lateral adjustment of the first outlet, and an adjustment of a lateral separation between a seed row provided by a second outlet and a nutrient row provided by the first outlet.

A high-efficiency cultivation method for high-frequency drip irrigation, water saving, seedling survival and strengthening, and yield increase of cotton fields in saline-alkali soil is provided, belonging to the field of agricultural planting technologies. It mainly includes performing land preparation; setting a planting mode; laying tubes; performing a high frequency drip irrigation; fertilizing with water; performing intertillage; performing chemical control; and performing green prevention and control. The method effectively solves many defects in the existing methods, improves the quality of cotton field preparation and seeding in saline-alkali soil, saves irrigation water, increases the emergence rate and seedling survival rate, improves the saline-alkali resistance of cotton seedlings, increases the yield, and achieves the goal of water-saving, high-quality and high-efficiency cultivation of cotton seedlings in saline-alkali soil.

A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving, over a network, field definition data and environmental data; determining soil data from at least the environmental data; determining, based on at least the soil data, carbon load data indicating carbon load present in the field during a planting date; receiving first input indicating a plurality of starter application criteria; based on the first input and the carbon load present in the field, generating application data that include at least an amount of the starter fertilizer that provides nutrients to seeds throughout a nutrient immobilization period between the planting date and a beginning of a microorganism mineralization period; generating control instructions for controlling an agricultural implement based on the application data.

A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving, over a network, field definition data and environmental data; determining soil data from at least the environmental data; determining, based on at least the soil data, carbon load data indicating carbon load present in the field during a planting date; receiving first input indicating a plurality of starter application criteria; based on the first input and the carbon load present in the field, generating application data that include at least an amount of the starter fertilizer that provides nutrients to seeds throughout a nutrient immobilization period between the planting date and a beginning of a microorganism mineralization period; generating control instructions for controlling an agricultural implement based on the application data.

An apparatus for biological control of agricultural pests and for reducing damage to crops. The apparatus includes a container for holding biological organisms or material. The container also includes first and second ends and an opening formed at the first end for receiving the biological organisms. The apparatus has a dispensing port disposed at the second end for dispensing the biological organisms over a target location. The apparatus further includes an auger, driven by a motor and having a plurality of spiral like wire brushes, said auger mounted to and driven by a first motor; a spreader motor mount having a motor mount holding area for holding a second motor, the spreader motor mount having a motor mount connection area for connecting to the second end; and a spreader agitating device used for spreading the biological organisms or material over the target location.

Systems, apparatuses, and methods for agricultural monitoring of soil characteristics and determining soil color are described herein. In one example, a method of calculating soil color data includes obtaining, with sensors of a soil apparatus, soil measurements. The method further includes calculating soil color values in a visible spectrum including at least one of red, green, and blue color values based on the soil measurements and determining color data for at least one color image without false image artifacts based on the calculated soil color values and associated coordinates within an agricultural field.

Systems, apparatuses, and methods for agricultural monitoring of soil characteristics and determining soil color are described herein. In one example, a method of calculating soil color data includes obtaining, with sensors of a soil apparatus, soil measurements. The method further includes calculating soil color values in a visible spectrum including at least one of red, green, and blue color values based on the soil measurements and determining color data for at least one color image without false image artifacts based on the calculated soil color values and associated coordinates within an agricultural field.

A soil resistivity detection system for an agricultural implement includes a row unit having row unit components. The row unit components include a residue management system configured to condition soil at a leading edge of the row unit, an opening system configured to form a furrow in the soil, a closing assembly configured to close the furrow, and a press wheel assembly configured to compact the soil. The soil resistivity detection system also includes a control assembly configured to output an electrical current to a first pair of the row unit components, receive voltages from a second pair of the row unit components, determine a voltage differential based on the voltages, and determine a soil resistivity based on the voltage differential.