The present invention relates generally to precision agriculture in particular to the field of monitoring plant conditions.
Precision agriculture is a systematic approach toward high efficiency, environmentally sensitive farming. Precision agriculture stresses the minimal use of agrochemicals for fertilization, pest and weed control and is a response to public ecological concerns. Further, precision agriculture utilizes the latest technological advances in the areas of global positioning and information systems, in-field and remote sensing, portable computing and information processing, and wireless communications systems to sense and manage spatial and temporal variability in agricultural fields to allow a more defined and optimal strategy for farming practices.
An area of precision agriculture that facilitates the collection of plant data is Hyperspectral Imaging (HSI). HSI involves narrowband spectral analysis of vegetation and involves capturing a series of images of crops from high altitudes, typically from a satellite or an airplane. With HSI each image is acquired within narrowband, adjacent slices of the visible to near infrared (NIR) spectrum.
Although HIS facilitates the collection of plant data, HIS suffers from various disadvantages. First, HSI generates an enormous volume of data. Second, much of the data is extraneous and therefore requires post-collection analysis. Third, much of the data requires some sort of pre-processing before the data is utilized. Fourth, HSI is not considered reliable as it is subject to changes in weather and atmospheric conditions. Fifth, since the images are taken from a distance, the images are often distorted leading to misrepresentation and misleading data of plant conditions. Finally, HIS is costly to implement.
Accordingly, there exists a need for a new system and method for monitoring plant conditions.
The accompanying figures together with the detailed description below are incorporated in and form part of the specification, serve to further illustrate various embodiments and to explain various principles and advantages all in accordance with the present invention.
The present invention may be embodied in several forms and manners. The description provided below and the drawings show exemplary embodiments of the invention. Those of skill in the art will appreciate that the invention may be embodied in other forms and manners not shown below. The invention shall have the full scope of the claims and shall not be limited by the embodiments shown below. It is further understood that the use of relational term, if any, such as first, second, top and bottom, front and rear and the like are used solely for distinguishing one entity or action from another, without necessarily requiring or implying any such actual relationship or order between such entities or actions.
In this document, relational terms such as first and second, top and bottom, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms “comprises,” “comprising,” or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by “comprises . . . a” does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
It will be appreciated that monitoring plant conditions described herein may be comprised of one or more conventional processors and unique stored program instructions that control the one or more processors to implement, in conjunction with certain non-processor circuits, some, most, or all of the functions of the method for interpreting user input in an electronic device described herein. The non-processor circuits may include, but are not limited to, a radio receiver, a radio transmitter, signal drivers, clock circuits, power source circuits, and user input devices. As such, these functions may be interpreted as steps of a method to perform monitoring plant conditions. Alternatively, some or all functions could be implemented by a state machine that has no stored program instructions, or in one or more application specific integrated circuits (ASICs), in which each function or some combinations of certain of the functions are implemented as custom logic. Of course, a combination of the two approaches could be used. Thus, methods and means for these functions have been described herein. Further, it is expected that one of ordinary skill, notwithstanding possibly significant effort and many design choices motivated by, for example, available time, current technology, and economic considerations, when guided by the concepts and principles disclosed herein will be readily capable of generating such software instructions and programs and ICs with minimal experimentation.
In one embodiment, the optical element 110 collects a plurality of desired spectral bands from incident light where the incident light has been reflected from a plant 145. As used herein, desired is defined as spectral bands that are within a range. For example, if “red edge” spectral analysis is of interest, then desired spectral bands may be in the range of 650 nm to 800 nm. Other desired spectral bands (e.g. visible, near visible, infra-red, and near infra-red) may be of interest and are not further described herein. Continuing, the optical element 110 also limits the numerical aperture (NA) of the light incident in the spectrum capture element 105 of the sensor 100. As examples, exemplary NAs for the optical element 110 are between 0.02 and 0.025.
Coupled to the optical element 110 is the optical bandpass filter 115 where the optical bandpass filter further eliminates unwanted spectral band that has been collected by the optical element 110. That is, the optical bandpass filter 115 filters out wavelengths of incident radiation outside the plurality of desired spectral bands. Thus, using an optical bandpass filter 115 reduces out-of-band noise components. Further, using an optical bandpass filter 115 reduces the volume of spectral data that needs to be further processed. Thus, addressing one of the problems of the prior art.
In one embodiment, a lens holder 120 holds the optical element 110, and the optical bandpass filter 115 to facilitate proper alignment between the optical bandpass filter 115 and the optical element 110. As is known in the art, the lens holder 120 may be an adjustable lens holder that can be used to adjust the focus of the incident light onto the optical element 110. In an exemplary embodiment, the lens holder 120 performs defocusing of the incident light so that an image is not achieved.
Continuing with
As mentioned above, in one embodiment, the casing 125 encloses the optical element 110, the optical bandpass filter 115, and the spectrum capture element 105 to shield them from any external noise or conditions. In an alternative embodiment, the casing also enclosed the lens holder 120, along with the optical element 110, the optical bandpass filter 115, and the spectrum capture element 105. In any case, the casing 125 may be an inexpensive plastic housing.
In an alternative embodiment, the sensor comprises a circuit board 130. The circuit board 130 provides the ability to transfer information about plant conditions to an external system, such as a computing system (not shown). In one embodiment of the alternative, the circuit board 130 carries a plurality of signals generated at the spectrum capture element and transfers the signals to the external system by a ribbon cable connector 135. The external system may be responsible for generating analysis of the plant conditions so as to facilitate precision agriculture.
In an embodiment, the optical element 110 comprises at least one of a conventional lens, a fiber optic cable, a bifurcated fiber bundle and a fiber optic faceplate that can be integrated into the spectrum capture element. In any case, the optical element 110 limits the numerical aperture (as mentioned above) where the numerical aperture may be defined according to a performance standard that defines the spectral width of the plurality of desired spectral bands.
In one embodiment, the plurality of desired spectral bands may be determined by one or more vegetation indexes where desired is defined by the one or more vegetation indexes. As is known in the art, a vegetation index may comprise a simple ratio or a normalized signal difference at two critical wavelengths. Further, a vegetation index may be defined as a complex function of signals or a combination of a plurality of simple indices. A vegetation index could further be extracted with a measurement of a limited number of discrete wavelength bands and may not require a dense scan of reflected spectrum from a sensor, e.g. sensor 100. A vast majority of vegetation indices are determined from measurements in a visible and near infra-red range, thereby allowing the use of silicon based photodiode detectors as a transduction element. In addition, additional vegetation indices include a Normalized Differential Vegetation Index, a Renormalized Difference Vegetation Index, a Modified Simple Ratio, a Soil-Adjusted Vegetation Index, a Improved Soil-Adjusted Vegetation Index, a Soil and Atmospherically Resistance Vegetation Index, a Modified Chlorophyll Absorption Ratio Index, a Triangular Vegetation Index, a Photochemical Reflectance Index, a Red Edge Position, a Slope at Red Edge, a Leaf Chlorophyll Index, a Water Index, a Normalized Difference Water Index, and a Clay Index. In any case, such indices determine desired spectral band for the sensor 100.
In one embodiment, the optical bandpass filter 115 may be integrated with the spectrum capture element 105. In such an embodiment, the optical bandpass filter 115 may be integrated with the array of optical filters 140 on the spectrum capture element 115. Integrating the optical bandpass filter 115 with the spectrum capture element 115 may make the sensor 100 compact and may provide better elimination of wavelengths of incident light outside the plurality of desired spectral band. In any case, the optical bandpass filter 115 can be a longpass edge filter or a shortpass edge filter. In the embodiment of the long pass edge filter, wavelengths above a specified wavelength are transmitted, whereas in the embodiment of the short pass filter, wavelengths that are less than a specified wavelength are transmitted. In any case, the optical bandpass filter 115 can comprise a multi-layer dielectric stack and may be a discrete (non-integrated) filter.
Referring now to
In one embodiment, each optical filter in the array of optical filters 205 is a narrowband pass optical filter where the narrowband pass optical filter is fabricated to form a part of the array of optical filters 205. Each optical filter has a pass-band that is tuned to a particular wavelength and aligned to a desired spectral band. As mentioned above, there is a correlation between desired spectral bands and vegetation indices. In any case, the pass-band may be less than 50 nm. In a preferred embodiment of the invention, the pass-band of the optical filter may be between 10 nm and 20 nm. In an embodiment of the invention, the array of optical filters 205 can comprise a Fabry-Perot resonator. The Fabry-Perot resonator can comprise a pair of semi-transparent metal films (215, 220) separated by a dielectric material 230. A thickness of the dielectric material 230 may be adjusted to approximately one half of a wavelength of a desired transmission peak in a desired spectral band and/or multiples of the one-half wavelength where the multiples provide higher order filter operation. In one embodiment, the dielectric material 230 is a made of silicon dioxide. In one embodiment, the pair of semi-transparent metal films (215, 220) can be made of gold, silver, aluminum or a combination thereof.
In one embodiment, each detector in the array of the detectors 210 is a photodiode detector. The array of detectors 210 comprise a plurality of silicon p-n junction photodiode fabricated within a silicon substrate 230. In an embodiment, the spectrum capture element 200 may also contain complementary metal oxide semiconductor (CMOS) electronics for interfacing the array of detectors 210 to other higher-level functions.
In any case, the spectrum capture element 200 performs spectral decomposition of the captured desired spectral bands of the incident light to determine plant conditions. In one embodiment, the desired spectral bands correlate to a vegetation index where the vegetation index is defined by wavelengths in a spectral band.
For example, a spectrum capture element 200 implemented to analyze a “red edge” occurring in a range of 650 nm to 800 nm of the spectrum comprises an array of Fabry-Perot resonant filters (e.g. 205) over an array of silicon p-n junction diodes. In such an embodiment, the “red edge” helps in providing vital information on plant conditions. The plurality of Fabry-Perot resonant filters have distinct, but adjacent passbands spanning over the red edge region of the spectrum. In such an embodiment, in order to adequately cover the red edge spectral range of about 650 nm to 800 nm, approximately eight 15 nm wide bands may be required, and therefore eight different oxide layer thicknesses for a plurality of etalons of the Fabry-Perot filters. As shown in
In the “red-edge” embodiment, the plurality of Fabry-Perot resonant filters can be designed for second order operation to maintain a narrow bandpass. As shown in
In another embodiment, the spectrum capture element 105 further comprises an interface enabled to provide array readout, signal conditioning and processing, analog to digital (A to D) conversion, and vegetation index computation. In yet another embodiment, the sensor 100, as described above, can form a part of a system for monitoring plant conditions using a wireless communications network.
In a further embodiment, the method further comprises, communicating information about plant conditions wirelessly, e.g. in a wireless communications network. In such an embodiment, communicating wirelessly may involve the use of a plurality of sensing nodes as described with reference to
The sensing node comprises at least one sensor 100 to provide information about plant conditions, and a microcontroller (not shown) to analyze the information about plant conditions. The sensor 100 is described earlier in this application.
This disclosure is intended to explain how to fashion and use various embodiments in accordance with the invention rather than to limit the true, intended and fair scope and spirit thereof. The foregoing discussion is not intended to be exhaustive or to limit the invention to the precise forms disclosed. Modifications or variations are possible in the light of the above teachings. The embodiment(s) was chosen and described to provide the best illustration of the principles of the invention and practical application, and to enable one of ordinary skill in the art to utilize the invention in various embodiments and with various modifications as are suited to the particular use contemplated. All such modifications and variations are within the scope of the invention as determined by the appended claims, as may be amended during the pendency of this application for patent, and all equivalents thereof, when interpreted in accordance with the breadth to which they are fairly, legally and equitably entitled.