A method of harvesting plant product from a plant in a single pass using a combine harvester is disclosed. In the method, the plant has a protein content gradient that varies along a height of the plant. The method includes identifying, along a longitudinally-extending stalk of the plant, an upper protein gradient of the plant including high protein plant product and a lower protein gradient of the plant including lower protein plant product, wherein the high protein plant product from the upper protein gradient of the plant meets a threshold protein content that is higher than that of the lower protein plant product. The method also includes separately and substantially simultaneously harvesting the high protein plant product from the upper protein gradient and the lower protein plant product from the lower protein gradient in the single pass, and isolating the high protein plant product from the lower protein plant product.

A method of harvesting plant product from a plant in a single pass using a combine harvester is disclosed. In the method, the plant has a protein content gradient that varies along a height of the plant. The method includes identifying, along a longitudinally-extending stalk of the plant, an upper protein gradient of the plant including high protein plant product and a lower protein gradient of the plant including lower protein plant product, wherein the high protein plant product from the upper protein gradient of the plant meets a threshold protein content that is higher than that of the lower protein plant product. The method also includes separately and substantially simultaneously harvesting the high protein plant product from the upper protein gradient and the lower protein plant product from the lower protein gradient in the single pass, and isolating the high protein plant product from the lower protein plant product.

Implementations are described herein for normalizing counts of plant-parts-of-interest detected in digital imagery to account for differences in spatial dimensions of plants, particularly plant heights. In various implementations, one or more digital images depicting a top of a first plant may be processed. The one or more digital images may have been acquired by a vision sensor carried over top of the first plant by a ground-based vehicle. Based on the processing: a distance of the vision sensor to the first plant may be estimated, and a count of visible plant-parts-of-interest that were captured within a field of view of the vision sensor may be determined. Based on the estimated distance, the count of visible plant-parts-of-interest may be normalized with another count of visible plant-parts-of-interest determined from one or more digital images capturing a second plant.

A system for processing a crop that is harvested from a field is disclosed. The system includes sorting the crop in-situ, washing the crop in-situ, blanching the crop in-situ, freezing the crop in-situ; and packaging the crop in-situ. The crop may comprise edamame pods.

A system for processing a crop that is harvested from a field is disclosed. The system includes sorting the crop in-situ, washing the crop in-situ, blanching the crop in-situ, freezing the crop in-situ; and packaging the crop in-situ. The crop may comprise edamame pods.

A row planter assembly having offset track assemblies, a downforce control assembly, a furrow assembly, a seed metering assembly, and a seed delivery assembly.

Implementations are described herein for normalizing counts of plant-parts-of-interest detected in digital imagery to account for differences in spatial dimensions of plants, particularly plant heights. In various implementations, one or more digital images depicting a top of a first plant may be processed. The one or more digital images may have been acquired by a vision sensor carried over top of the first plant by a ground-based vehicle. Based on the processing: a distance of the vision sensor to the first plant may be estimated, and a count of visible plant-parts-of-interest that were captured within a field of view of the vision sensor may be determined. Based on the estimated distance, the count of visible plant-parts-of-interest may be normalized with another count of visible plant-parts-of-interest determined from one or more digital images capturing a second plant.

Implementations are described herein for normalizing counts of plant-parts-of-interest detected in digital imagery to account for differences in spatial dimensions of plants, particularly plant heights. In various implementations, one or more digital images depicting a top of a first plant may be processed. The one or more digital images may have been acquired by a vision sensor carried over top of the first plant by a ground-based vehicle. Based on the processing: a distance of the vision sensor to the first plant may be estimated, and a count of visible plant-parts-of-interest that were captured within a field of view of the vision sensor may be determined. Based on the estimated distance, the count of visible plant-parts-of-interest may be normalized with another count of visible plant-parts-of-interest determined from one or more digital images capturing a second plant.

Implementations are described herein for normalizing counts of plant-parts-of-interest detected in digital imagery to account for differences in spatial dimensions of plants, particularly plant heights. In various implementations, one or more digital images depicting a top of a first plant may be processed. The one or more digital images may have been acquired by a vision sensor carried over top of the first plant by a ground-based vehicle. Based on the processing: a distance of the vision sensor to the first plant may be estimated, and a count of visible plant-parts-of-interest that were captured within a field of view of the vision sensor may be determined. Based on the estimated distance, the count of visible plant-parts-of-interest may be normalized with another count of visible plant-parts-of-interest determined from one or more digital images capturing a second plant.

Agricultural implements include equipment designed for harvesting, cleaning and storing farming produce. The farming produce it is designed to process particularly includes peanuts, beans or any other produce disposed in rows that can be gathered from the ground. The agricultural equipment can include a head (2), endowed with a collecting platform (3) with belts (5); with the head (2) including a transmission box (4) of the dual and pivotable type. The head (2) has complete hydraulic system with hydraulic oil tank (9), heat exchanger (9A) and filters, and the transmission box (4) further has an auxiliary input (11) to couple an accessory that can be hydraulic, pneumatic or electric, in order to drive auxiliary systems. In the rear part of the equipment are helicoids (6) that extend to the vertical transporter (7) and latter to the container (8).