Systems and methods for detecting, identifying, localizing, and determining the characteristics of field elements in agricultural fields
An imaging system usable with an agricultural operations vehicle as the agricultural operations vehicle moves through a field includes a stereoscopic multispectral imaging sensor configured to capture images of the field in real time; a processor; and a memory. The memory includes instructions, stored thereon, which when executed by the processor cause the imaging system to: capture a real-time image by the stereoscopic multispectral imaging sensor; determine characteristics of field elements within the field based on the real-time image, wherein one of the determined characteristics of the field elements is a vegetation index; determine a morphology of the field in which the agricultural operations vehicle is moving based on the captured real-time image; combine as data the real-time image, the determined characteristics of the detected field elements, and the determined field morphology; and determine a location of the detected field elements based on the combined data.
1 . An imaging system usable with an agricultural vehicle as the agricultural vehicle moves through a field, comprising:
a stereoscopic multispectral imaging sensor configured to capture images of the field in real-time;
an inertial measurement unit (IMU) configured to monitor:
angle and direction of the stereoscopic multispectral imaging sensor relative to field elements of the field; and
morphology of the field including ground incline;
a processor in communication with the stereoscope multispectral imaging sensor and the IMU; and
a memory, including instructions, stored thereon, which, when executed by the processor, cause the imaging system to:
determine characteristics of the field elements within the field in which the agricultural vehicle is moving based on the captured real-time images, wherein one of the determined characteristics of the field elements is a vegetation index;
determine:
a morphology of the field in which the agricultural vehicle is moving based on the captured real-time images of the stereoscopic multispectral imaging sensor and ground incline determined with the IMU; and
the angle and direction of the stereoscopic multispectral imaging sensor relative to the field elements with the IMU;
combine the real-time images, the determined characteristics of the detected field elements, and the determined morphology of the field including the angle and direction of the stereoscopic multispectral imaging sensor and the ground incline determined with the IMU; and
determine a location of the detected field elements based on the combined real-time images, determined characteristics of the detected field elements, and the determined field morphology including the angle and direction of the stereoscopic multispectral imaging sensor and the ground incline determined with the IMU.
2 . The imaging system of claim 1 , wherein the instructions, when executed by the processor, further cause the imaging system to:
determine optimized parameters of the agricultural operation conducted by the agricultural vehicle based on the determined location and the characteristics of the identified field elements.
3 . The imaging system of claim 1 , wherein the instructions, when executed by the processor, further cause the imaging system to:
communicate the determined parameters to an agricultural vehicle controller for controlling parameters of the agricultural operation.
4 . The imaging system of claim 1 , wherein each pixel of the captured images is assigned a pixel value representing a light intensity measurement in a light spectrum space.
5 . The imaging system of claim 1 , wherein the stereoscopic multispectral imaging sensor can acquire images containing an entire operational working width of the agricultural vehicle using wide-angle lenses.
6 . A processor-implemented method for detecting, identifying, localizing, and/or determining characteristics of field elements and field morphology in agricultural fields in real-time using a stereoscopic multispectral imaging sensor, mounted on an agricultural vehicle, the method comprising:
capturing, by the stereoscopic multispectral imaging sensor, real-time images of the field as the agricultural vehicle moves through the field, wherein each pixel of the captured images is assigned a pixel value representing a light intensity measurement in a light spectrum, wherein the stereoscopic multispectral imaging sensor is configured to acquire real-time images containing an entire operational working width of the agricultural vehicle using wide-angle lenses;
identifying, in real-time, field elements based on analyzing the captured real-time images as light-intensity images in different light spectrums;
determining, in real-time, characteristics, including a vegetation index, of the identified field elements, by analyzing the captured real-time images as a standalone image or in combination with each other;
determining, in real-time, a field morphology as the agricultural vehicle moves through the field based on the captured real-time images;
accessing at least one of angle or direction of the stereoscopic multispectral imaging sensor relative to the identified field elements from an IMU; and
determining, in real-time, a location of identified field elements by combining the field morphology, the captured real-time images, and at least one of the angle or direction of the stereoscopic multispectral imaging sensor relative to the identified field elements.
7 . The processor-implemented method of claim 6 , further comprising:
determining in real-time agricultural operation parameters corresponding to a specific field element of the field elements based on the determined location and characteristics of the specific field element.
8 . The processor-implemented method of claim 6 , wherein the determined parameters are communicated to a controller of the agricultural vehicle to adjust the agricultural operation parameters.
9 . The processor-implemented method of claim 6 , further comprising detecting, identifying, and localizing weeds as the agricultural vehicle moves through a field based on the determined location.
10 . The processor-implemented method of claim 9 , further comprising:
determining an amount of a substance to be applied on each of the detected, identified, and localized field elements based on the determined characteristics; and
communicating with a controller of the agricultural vehicle to apply the determined amount of the substance on the determined location of the field element.
11 . A processor-implemented method of using an imaging sensor apparatus, mounted on an agricultural vehicle as the agricultural vehicle moves through a field, to eliminate weeds in a till or no-till field, in real-time, the method comprising:
accessing real-time images from an image sensor;
determining, in real-time, characteristics, including a vegetation index of field elements;
detecting field elements in real-time using the vegetation index;
identifying potential weeds based on comparing the vegetative index to a threshold;
determining one or more of angles or directions of the image sensor relative to the identified weeds with an inertial measurement unit (IMU);
determining at least one of an application rate or a weed coverage based on the determined characteristics of the identified weeds; and
localizing the identified weeds based on sensor data including the real-time images and one or more of the angles or directions of the image sensor relative to the identified weeds.
12 . The processor-implemented method of claim 11 , further comprising:
determining an amount of a substance to be applied on each of the detected, identified, and localized field elements based on the determined characteristics.
13 . The processor-implemented method of claim 12 , further comprising:
communicating with a controller of the agricultural vehicle to apply the determined amount of the substance on the determined location of the field element.
14 . The processor-implemented method of claim 11 , wherein the sensor data includes at least one of GPS sensor data, gyroscope data, or accelerometer data.
15 . The processor-implemented method of claim 11 , wherein the real-time images are captured by a stereoscopic multispectral imaging sensor.
16 . The processor-implemented method of claim 15 , wherein the stereoscopic multispectral imaging sensor is configured to acquire real-time images containing an entire operational working width of the agricultural vehicle using wide-angle lenses.
17 . The processor-implemented method of claim 11 , wherein each pixel of the captured real-time images is assigned a pixel value representing a light intensity measurement in a light spectrum.
18 . The processor-implemented method of claim 11 , wherein the vegetation index of the identified field elements is determined by analyzing the accessed real-time images of the field in different light spectrums.