The present invention generally relates to the field of automated crop harvesting. More specifically, but without limitation, embodiments of the present invention include machines, apparatuses, systems and methods for automated or robotic scanning, spraying, pruning, trimming, and harvesting of agricultural crops from within a tree or plant canopy.
Because of the high cost of manual labor for harvesting fruit crops, there have been a large number of attempts to build robotic harvesters for fruit crops over the years, all of them unsuccessful in achieving commercialization. There have been a variety of approaches utilized, most of the early attempts being mechanical systems designed to dislodge fruit from the tree in situ. Early descriptions include the “shake-catch” system in which a device is applied to the trunk of the tree to induce significant oscillation or vibratory forces to dislodge the fruit from the tree, such as those disclosed in U.S. Pat. Nos. 4,606,179 and 5,816,037. There have also been a number of attempts to utilize more specific branch-shaking techniques to shed fruit from the tree branches using large spike-drum arrays which induce oscillation of the spike arrays when they enter the canopy of the tree, such as those disclosed in U.S. Pat. Nos. 4,860,529 and 5,946,896. More recently, a system was described in which a harvester incorporated an “impactor” designed to dislodge the fruit from a tree and a catchment system that attempts to minimize damage to the falling fruit, found in U.S. Pat. No. 6,442,920 B1. In general, mechanical systems have not been overwhelmingly commercially successful, and the primary reasons appear to revolve around resulting damage to the fruit, damage to the trees and insufficient yield for commercial operations.
Recent efforts have focused on a targeted approach to the removal of fruit from trees, using vision systems to detect and locate each piece of fruit, with subsequent removal by mechanical actuators in a more traditional robotic concept. These machine-vision systems first map the field to determine locations, numbers and size of targeted fruit using a scouting system, and determine optimal picking solutions for each piece of fruit. This information is then transferred to separate robotic end-effector units that are responsible for actually picking the fruit. One recent patent application described a robotic scout system that moves through the orchard to map the fruit, plans an effective picking strategy, and then relies on a separate harvesting unit that moves through the orchard to harvest the fruit. U.S. Pat. App. Publ. No. 2005/0126144A1.
The system of U.S. Pat. App. Publ. No. 2005/0126144A1 suffers from several drawbacks. First, the use of two modules (a scout and a picker) results in duplicative hardware, and the potential need for two different operators. Using two modules also results in a delay between mapping and actual harvesting. This means that there is no real-time guiding, giving rise to several possible error sources for positioning of the removal mechanism relative to fruit as previously mapped, such as wind or other environmental changes, error in positioning the picker's coordinate system relative to the mapping machine's coordinate system, etc. In addition, such a two-module system requires a large number of cameras or sensors in the scout to probe around and into each tree, as well as a similar set of cameras or sensors in the picker to find, move to, and remove the mapped fruit. Since a given orange tree may contain between 800-1200 pieces of fruit, mapping each piece of fruit for an orchard of hundreds of trees involves massive data collection, computation and storage. Then, complicated mechanical apparatus are required on both the mapping and harvesting modules. Implementing individual picking solutions for each piece of fruit leads to slow fruit picking/collection of up to perhaps one hour per tree. For complex 5-6 degrees of freedom manipulators, more complicated algorithms are needed and more time will be required to reach obscured fruits. Arms having more joints and movement capability are more prone to failure in field conditions. Then, if the arms are not just removing fruits but carrying them to accumulating containers, the harvest time may be unsatisfactorily long, and the fruit may be damaged as well. In sum, the system described in U.S. Pat. App. Publ. No. 2005/0126144A1 appears to be relatively complex, expensive, prone to error, and inefficient.
It is therefore desirable to provide reliable, efficient and economical machines, systems and methods of harvesting fruit crops that do not damage the fruit and that can quickly harvest a high percentage of usable fruit from trees in a relatively short period of time. Likewise, it is also desirable to provide reliable efficient and economical machines, systems and methods for scanning, spraying and pruning of agricultural crops.
Unlike previous attempts that rely either on sophisticated machine-vision systems that map specific locations of individual pieces of fruit, or “blind” mechanical harvesters that rely on bulk harvesting techniques using physical disruption of the fruit/stem/branch interface, embodiments of the present invention provide machines, systems and methods that do not require pre-mapping or pre-knowledge of the position/location of the crops on the plants, do not require pre-calculation of a picking plan, and yet are highly effective at locating and picking individual pieces of fruit or other types of crops. These machines and methods employ one or more highly packed modules or arrays of movable arms, with crop removal or other devices, so as to employ some of the beneficial aspects of mass harvesting techniques. The modules or arrays can have a variable number of moveable arms depending on the particular crop to be harvested and the size and the shape of the trees or plants.
Each picking module or array can deploy multiple individual and independently controlled moveable arms, arranged in parallel rows or other grid configurations, which move into the tree canopy using telescopic or other extension/retraction mechanisms to reach individual fruits within a predetermined region of the tree canopy. For example, each arm is capable of moving within a pre-designated three-dimensional search grid or box, and is capable of rapidly probing or scanning that grid or box as its target area to determine whether fruit is present. This may be accomplished with one or more sensors, including, without limitation, video cameras with shape analyzing algorithms and/or spectral analyses, scanners (such as laser scanners), sensors (such as thermal imaging sensors, and/or ultrasound imaging sensors), etc.
Once a suitable target (fruit) is detected, the arm can be guided by the sensor(s) and a search algorithm to assure terminal guidance of the arm adjacent to the target fruit. Once the arm is moved into position adjacent to the fruit, the search algorithm can guide attachment of a gripping device to hold the fruit. Depending on the type of fruit being harvested, the gripping device may include one or more suction cups, pneumatic grippers, movable clamps, movable fingers, movable tines, and/or combinations thereof. Once the gripper engages the fruit, it can then be removed using high speed rotation and push/pullor other removal techniques, leaving the button/star of the fruit intact. It is to be appreciated that any combination of sensors and gripping mechanisms may be used, depending on the type of crop to be harvested, the anticipated environment within the tree canopy, weather conditions, and other relevant factors. It is also to be appreciated that if a sensor on a particular arm detects the presence of a piece of fruit that is nearby but outside of the grid or box for that particular arm (i.e., that cannot be picked by that particular arm), the location information may be provided to an adjacent arm that may be capable of picking the fruit.
When all possible locations have been searched and picked within a zone for a given module or array of arms, embodiments of the invention will retract the arms, automatically move the module support member or frame holding the arms a short distance or arc around the vertical axis defined by the trunk of the tree or center of the canopy or the apparatus (typically in the range of from 5-45 degrees, e.g. from 5-30 degrees, or any other range of values therein, depending on the diameter of the tree canopy), and initiate the search/harvest process again at the new location. The process is repeated in a pattern designed to cover all possible locations of fruits within the canopy (e.g. the space occupied by the tree or plant). This offers the advantage of multiple searches for fruit that might have been initially blocked by a branch or other obstacle. Depending on the diameter of the tree, the number of arrays of picking arms, the number of arms in each array, the sensitivity of the sensor, the software, the mechanism for extending and retracting the arms, etc., the machines, systems and methods of the present invention are capable of efficiently harvesting a high percentage of crops from a given tree in less than 10 minutes, and possibly in a range of 5-6 minutes per tree. In some embodiments, this short amount of time is all that is needed to complete a series of rotations designed to cover 360 degrees of the circumference of the tree.
Some embodiments of the invention include a four-pillar gantry system that is designed to straddle each individual tree or plant in order to deploy picking modules or arrays on multiple sides of the tree. In these embodiments, each base, pillar or leg of the gantry system may be self-propelled and/or individually controlled, allowing a high degree of movement and agility as the gantry moves through the orchard. In these embodiments, each leg may be independently vertically adjusted to properly level the gantry system during use. In some embodiments, each gantry is controlled directly by an operator who sits at a small console mounted to one leg of the gantry. In other embodiments, the machine is remotely guided using GPS, video camera technology or a combination of both, to permit remote control from an operator using a central console to control more than one unit.
Other embodiments include a motor vehicle mounted machine that moves between rows of plants. The machine cantilevers over the plant canopy and rapidly probes the plant canopy to scan, spray, prune and/or pick fruit within the plant canopy.
In some embodiments of the invention, a pre-defined 3-D Cartesian coordinate search pattern, that may be consistent or may be varied from tree to tree, is assigned to each individual picking arm, and fine-motor control is achieved using vision or other sensory systems (such as a scanner). In some embodiments, the invention includes collector baskets/netting at the base of the device to capture and transport picked fruit into loading bins that may be on-board the harvesting apparatus and/or pre-positioned throughout the orchard. As a bin fills, it can be placed on the ground for later collection, and a replacement bin substituted therefore.
It is to be appreciated that important embodiments of the present invention include semi-autonomous crop harvesters, wherein a mass collection approach is combined with artificial intelligence for harvesting fresh fruit citrus products including, but not limited to navel oranges, valencia oranges and lemons. However, the scope of the invention encompasses, without limitation, machines, systems, apparatus and methods for use with other types and varieties of crops, and for other purposes including, but not limited to scanning, spraying, pruning, and trimming of agricultural crops.
The approach of the present invention is unique for many reasons including (1) coverage of practically every possible location of a piece of fruit on a tree or plant is accomplished efficiently and effectively without pre-mapping or pre-knowledge of the location; (2) employment of high density picking arms rapidly probe a tree or plant to quickly determine possible targets; (3) employment of a terminal sensory/vision guidance system with fine motor control, which accurately attaches the gripper or other device mounted on each of the moveable arms to an individual piece of fruit, thus preventing damage to the fruit; (4) use of a simplified algorithm for three-axis movement of the moveable arms, minimizing the possibility for interference between arms and maximizing the insertion and retraction speed; (5) elimination of a multi-vehicle system requiring two or more autonomously controlled vehicles and the inherent complexity of data transfer in such a system (e.g. in less than ideal environmental conditions such as rain and wind); (6) nearly simultaneous scanning and picking, permitting real-time adjustment for environmental conditions as well as adjustment for the reduced weight of branches following the removal of fruit (the subsequent upward vertical movement of the branch when attempting to access the remaining fruit); and (7) use of a unique combination of high speed rotation and -push/pull that quickly removes each individual piece of fruit from the tree without damage. These and other advantages of the present invention will become readily apparent from the detailed description below.
Reference will now be made in detail to various embodiments of the invention, examples of which are illustrated in the accompanying drawings. While the invention will be described in conjunction with the following embodiments, it will be understood that the descriptions are not intended to limit the invention to these embodiments. On the contrary, the invention is intended to cover alternatives, modifications and equivalents that may be included within the spirit and scope of the invention as defined by the appended claims. Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be readily apparent to one skilled in the art that the present invention may be practiced without these specific details. In other instances, well-known methods, procedures, components and materials have not been described in detail so as not to unnecessarily obscure aspects of the present invention.
For the sake of convenience, the terms “module” and “array” are generally used interchangeably herein, as are the terms “tree” and “plant,” and the terms “fruit” and “crop,” but these terms are generally given their art-recognized meanings. Also, for convenience and simplicity, the terms “gripper” and “suction cup” are also used interchangeably, as are the terms “manipulator” and “end-effector,” as well as the terms “connected to,” “coupled with,” “coupled to,” and “in communication with” (which terms also refer to direct and/or indirect relationships between the connected, coupled and/or communicating elements unless the context of the term's use unambiguously indicates otherwise), but these terms are also generally given their art-recognized meanings.
The inventions, in its various aspects, will be explained in greater detail below with regard to exemplary embodiments.
Referring to the drawings wherein like reference characters designate like or corresponding parts throughout the several views, and referring particularly to the exemplary embodiments of
The main power components 14, 54 are located on the top platform of the gantry or portal-type support structure 10, 50, or are mounted to the sides of the support structure 10, 50, and these components may comprise, without limitation, an engine, a generator, or one or more hydraulic and/or pneumatic pumps, jacks or cylinders. The main power components may operate on a variety of potential power or fuel sources such as propane, solar, gasoline, and/or a battery. One or more processors/CPU units (not shown) and a communication system (also not shown) that is capable of responding to remote direction and/or GPS input are located on the top platform of the gantry or portal-type support structure 10, 50 or mounted to the sides of the support structure 10, 50.
These embodiments can also include the use of mounted video cameras (not shown) on the support structure 10, 50 or on the vertical gantry legs 11, 51, which permit visualization of the legs 11, 51 and the support structure 10, 50 during repositioning and scanning, spraying, pruning and/or picking. These cameras may transmit information to a remote control station (not shown) where one or more units may be under the control of a single operator. However, in these embodiments, the probing, scanning, spraying, pruning, or picking of fruit is done automatically. The advantages of these semi-autonomous embodiments is that a single operator can oversee positional guidance of the gantry, simplified operational software can be employed, any need for autonomous guided technologies such as GPS can be eliminated, time to market can be reduced, design can be simplified, and the equipment may be produced at a lower cost. In another embodiment, the cameras are communicatively connected to an onboard monitoring station 40 as shown in
In the exemplary embodiment of
The embodiment of
In the embodiment of
In the embodiment illustrated in
Each moveable arm 22 is extendable and retractable, and in some embodiments this is accomplished using a series of telescoping elements. The proximal end of each arm is attached to the module support member 20, or to a module or array 21 attached to the module support member 20, and the distal end of each arm is provided with at least one detector. In the illustrated exemplary embodiment, the distal end of each arm includes a camera and a suction gripper as described more fully below. It is to be appreciated that any combination of one or more sensors and one or more gripping, spraying, or pruning mechanisms may be used, depending on the type of fruit to be harvested, sprayed or pruned, the anticipated environment within the tree canopy, weather conditions, and other relevant factors. The moveable arms 22 simply search a space or grid to scan and spray, prune and/or pick whatever is there. Each arm 22 relies on vision, ultrasound and/or other sensors for terminal guidance, for fine motion control and successful acquisition of fruit. Preferred embodiments of the system are programmed to search at high speed, penetrating the canopy of the tree in a search grid (and in some embodiments withdrawing if a target is not reached within a predicted period of time; e.g. immediately).
As illustrated in
Details of an exemplary telescopic moveable arm 100 with a manipulator or end effector 110 for picking fruit is shown in
In some embodiments, the range of motion for a given telescopic moveable arm may be 200 mm×200 mm in the X and Y directions, and 1,500 mm in the Z-direction, representing a work zone or grid as depicted in
Some embodiments of the invention are programmed to stop advancing should an arm encounter significant resistance, such as that offered by a branch or other obstruction. However, re-entry into the same area from a different angle in a different pass improves the chances of reaching fruit blocked by such an obstruction. In most embodiments, once a target is encountered within a specified range, sensory guidance can be utilized to slow the speed of advancement and to make any adjustments in the X, Y and/or Z directions to position the manipulator 110 or gripper on the fruit. In vision/camera based embodiments, the input utilized for this guidance can be optimized for a wide range of light exposure, uniformity of illumination, color consistency, ability to distinguish background/foreground objects, and/or discriminating fruit from leaf coloration and shape. In such embodiments, each manipulator 110 preferably also includes an illumination system that permits operation under a variety of weather and ambient light conditions. Several methods, such as fluorescence detection, air blowing and others can be used to improve fruit detection based on such factors as the color, shape and density of the fruit. In some embodiments, a combination of static cameras (mounted on the frame or gantry 10, 50, 80) and cameras installed in the manipulators 110 will permit a much more simplified fruit picking algorithm. In embodiments employing air blowers with the manipulators 110, periodic impulses of air may be used to expose fruit that can then be easily distinguished from leaves or other objects as having a much lower natural frequency, density and/or surface-to-volume ratio.
Telescopic moveable arms 100, 900 offer a significant advantage compared with multilink automated or robotic arms because they have much easier access to the fruit when penetrating the canopy and branches. This approach also offers a more straightforward path calculation because the three dimensional problem of locating fruit within a plant canopy is essentially reduced to two dimensions, allowing for simplified software algorithms for arm movement. Telescopic arms 100, 900 can also enter and withdraw from the canopy at higher speed compared with more complex multi-link robotic arms. This relatively simplified mechanical design also offers enhancements in product durability and field utility in adverse conditions.
In many embodiments, the manipulators 110, 910 or grippers 101, 901 utilize suction to attach to the fruit. Each manipulator, gripper and/or suction cup may have an individual pneumatic suction or vacuum generating system, or one or more groups of manipulators, grippers and/or suction cups may share a common system with each manipulator, gripper and/or suction cup within the group having an individual value for applying/releasing suction.
In the embodiment shown in
Referring to the exemplary embodiment shown in
Once the fruit 3 has been separated from the tree branch 304, it may be recovered by one of several possible methods. In some embodiments, the fruit 3 may be simply released from the picking module by reducing the vacuum pressure in the well of the gripper/suction cup 301, in which case it will fall by gravity to a collecting net or other material that is spread out beneath the tree canopy. In some embodiments, the fruit 3 may be withdrawn outside of the canopy, still attached to the picking module, and then released into a collection device located near the picking array (e.g. 30 in
In some embodiments, the moveable arm 300 may be fully or partially retracted from the plant canopy (not shown) to simultaneously tear the fruit 3 from the branch 304 (or break the stem or branch 304) and position the fruit 3 over a collecting and transporting station (not shown). The suction cup 301 or grip is then released from the fruit 3, and the moveable arm 300 may be rotated or the movable cover 302 closed to allow the fruit 3 to drop to the collecting and transporting station below. The fall of the fruit 3 is slowed by the branches of the plant canopy and, in some embodiments, special soft beams, rods, lines or netting (not shown) inserted between branches also slow the fall of the fruit 3. The removable arm 300 is then positioned to pick another fruit, and the process repeated.
By way of example only, and without limitation, a typical citrus tree configuration may be 12-14 feet in width and 16 feet high. If the exemplary system of
In preferred embodiments of the invention, stereoscopic or alternative distance detecting sensors are used to enable higher picking speeds or rates. In some embodiments, these may be one or more cameras (e.g. web cameras) with feedback from a servo processor that is used to calculate distances to detected fruit so that efficient picking may be accomplished.
In preferred embodiments, the modular design of each arm (e.g., 22 in
In embodiments of the invention, the search algorithm for an individual piece of fruit may be simplified compared with existing machine-vision systems that attempt detection and mapping. Referring to
To further elaborate on the picking modules (e.g., 21 in
A novel aspect of the invention relates to the solution of a very common paradox that is currently confronting similar efforts. On the one hand is the common assumption that any mechanical harvester system must detect and harvest fruit or other crops at almost the same accuracy achieved by humans, and the system must be faster than humans. However, recent work on other robotic harvesters has demonstrated that the in-line computation time required in existing devices for detecting targets actually exceeds the actual motion time of the robot, with a significant reduction in efficiency. In contrast, the present invention actually initiates action towards a target even before knowing if a target exists, thus speeding the overall search/pick process.
It is likely that the systems developed in the future will still require significant processing and analysis time, thus making them much slower than traditional picking methods. This difficulty underlies all of the development efforts that rely on pre-identification and pre-spatial orientation of an orange or other fruit prior to picking. Embodiments of the present invention fundamentally define the spatial coordinates of a target and then instruct an arm to scan/detect and pick fruit if in that space. Because of variable fruit sizes, there are only certain or finite possibilities for a location of a piece of fruit in the three-dimensional space. In embodiments of the present invention, these possibilities for a location of fruit are pre-identified in search algorithms and assigned to various picking arms which then have only a relatively small space or area to search. When the moveable arms (e.g., 22 in
Embodiments of the search algorithms may be adjusted to start at the bottom of the tree and work upwards or vice versa. As fruit is harvested, the branches will move upwards as the weight of the fruit is removed. Embodiments of the invention are self-adjusting in the sense that they can compensate for the removal of fruit and resultant upward movement of the branches. In particular, embodiments of the present invention have several vertically stacked rows of manipulators. If a branch bearing fruit moves up significantly, it automatically moves (upward) into the working zone of another manipulator. Alternatively, the search algorithms may be initiated in any direction including horizontal, diagonal or any other suitable pattern prescribed by the particular crop geometry.
Some embodiments of the present invention incorporate a field sorting module having one or more sensors capable of discriminating individual pieces of fruit according to physical, optical or other pre-defined characteristics. Such embodiments may group fruit into separate container systems. In present practice, most tree/plant crops are completely harvested with subsequent sorting of fruit at a packing house. In the case of citrus fruits, individual fruits that are not within predetermined size limits, that are cosmetically flawed or that have some other undesirable visual defect may be culled for use in juice products, for example. However, currently growers generally absorb the cost of hauling fruit to the packing house, sorting the fruit and additional shipping and/or handling to haul the product from the packing house to the juice factory. Using an embodiment of the present invention, one may field-sort a significant portion of citrus or other crops and send sorted fruit directly to a juice or other processing facility, saving on hauling costs. Embodiments of the present invention may include a design solution to field sort the citrus or other harvested products and separate them into different bins or collection systems to permit direct transfer of fruit to a processing plant rather than a packing house.
Embodiments of a field sorting module are programmable, using a variety of programming algorithms such as strategy patterns (policy patterns) that allow rapid reassignment based on the needs of the packing house or grower. This apparatus meets the various demands for the often rapid changes made on the part of growers who may be asked to pick by particular sizes on one day, and then possibly modify the picking and/or sorting criteria on another day in order to accommodate differing standards of market acceptance.
Other embodiments of the present harvesters provide for adaptation of the penetrator geometry for local application of sprays/fertilizers. At the present time, the predominant technology for application of nutrients and pest control agents is via large spray rigs that are driven through orchards and emit large clouds of material. This operation is highly inefficient. For example, only a fraction of the material remains on the trees; large clouds of material become airborne and are carried away from the orchard or deposited on the ground. Because of this inefficiency, the cost of application is unnecessarily high; the overall cost could be reduced significantly by the direct application of materials inside the canopy versus outside the canopy. A gradient of distribution exists from ground-based sprayers; lower layers of trees and plants have a higher distribution and deposition of materials than upper layers of the trees.
Therefore, utilizing the present invention to spraying nutrients and/or pest control agents results in relatively uniform application of chemicals and nutrients, both inside the canopy and within vertical layers of the canopy. In embodiments of the present invention, a relatively selective and effective distribution of chemicals/nutrients can be achieved by applying the chemical(s)/nutrient(s) directly onto and/or within the tree canopy with a plurality of spray nozzles that (i) reduce or eliminate airborne distribution outside the canopy, (ii) reduce the amount of materials applied, and (iii) reduce or eliminate the distribution gradient of chemicals/nutrients within the canopy resulting from use of external sprayers. Exemplary spray nozzles can be located on some or all of the mechanical arms, and can be deployed either in serial or parallel fashion throughout the tree canopy to ensure effective distribution.
In other embodiments of the invention, the modules (e.g., 21 in
The various harvesting machines, apparatus, systems and methods described herein provide numerous advantages over previously described systems including, but not limited to: (1) pre-mapping of fruit locations can be eliminated, which significantly reduces the complexity and increases the speed of picking operations by eliminating the need for complex software algorithms, stereoscopic machine-vision systems, and high density data storage systems; (2) a relatively simple manipulator with two or three decoupled degrees of freedom can be utilized, which simplifies the control and increases the speed of the apparatuses relative to systems with five or six axes of movement; (3) linear penetration of the moveable arms eliminates the need for a relatively complicated backtrack mechanism and is highly efficient due to the movable arms' linear speed, which may be approximately 1.5 meters per second or faster; (4) in embodiments utilizing a linear arrangement of picking arms, interference or conflict between arms can be avoided; (5) in embodiments having a linear arrangement of picking arms, a very efficient picking pattern can be established, working from outside to inside, eliminating any need for complicated computing algorithms; (6) in embodiments having a pre-determined search grid for each module/arm, efficiency of picking can approach 100%, since the harvester is able to cover every or nearly every possible location for a piece of fruit; (7) the use of multiple work zones for the moveable arms that overlap toward the center of the tree increases the probability of reaching fruit that is obscured or located relatively deep in the tree canopy; (8) the rotation of the modules or arrays of picking arms around the tree mitigates the presence of thick branches, accomplishing multiple solutions to picking a given piece of fruit without computer computations or analysis; (9) there is no requirement for pre-planning or computation of an ideal picking solution; (10) placement of cameras or other sensors on each penetrator arm automatically ensures visualization/detection of all fruit in a tree or plant canopy; (11) since all geographic solutions can be covered, all fruit can be detected; and (12) embodiments provide a single integrated device design, minimizing or eliminating the need to control more than one vehicle/apparatus and resulting in a less expensive system than systems that require separate scouting and picking vehicles or apparatuses.
It is to be appreciated that the term “crops” referred to herein and in the appended claims is to be interpreted broadly to include any harvestable portion of a plant that may be used for commercial purposes, and includes without limitation, fruit, nuts, vegetables, leaves, heads, any part of a flower, shoots, seeds, pods, bulbs, etc., or any part or portion thereof.
Thus the present invention provides apparatuses for robotic scanning, spraying, pruning and/or picking of agricultural crops and related methods that do not require pre-mapping or pre-knowledge of the position or location of crops on plants and do not require pre-calculation of a spraying, pruning or picking plan. The apparatuses and methods employ highly-packed modules or arrays of movable arms that are rotated around a plant canopy to quickly and efficiently scan, spray, prune or pick the agricultural crops or other items of interest.
The foregoing descriptions of specific embodiments of the present invention have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the invention to the precise forms disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and its practical application, to thereby enable others skilled in the art to best utilize the invention and various embodiments with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the Claims appended hereto and their equivalents.
This application claims the benefit of U.S. Provisional Application No. 61/228,569, filed Jul. 25, 2009, incorporated herein by reference in its entirety.
Number | Date | Country | |
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61228569 | Jul 2009 | US |