Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Abstract: A method includes: generating a hearing profile for a user; accessing a set of hearing-assistance device options, each hearing-assistance device option defining a form factor of a hearing-assistance device, in a set of hearing-assistance devices; accessing an image of an ear of the user; detecting a set of constraining dimensions in the image of the ear of the user; identifying a subset of hearing-assistance device options, in the set of hearing-assistance device options, defining form factors conforming to the set of constraining dimensions; accessing a set of preferences of the user; ranking the subset of hearing-assistance device options based on the set of preferences; selecting a first hearing-assistance device option, from the subset of hearing-assistance device options, corresponding to a highest rank in the subset of hearing-assistance device options; and configuring a first hearing-assistance device represented by the first hearing-assistance device option with the hearing profile.

Abstract: A method includes: generating a hearing profile for a user; accessing a set of hearing-assistance device options, each hearing-assistance device option defining a form factor of a hearing-assistance device, in a set of hearing-assistance devices; accessing an image of an ear of the user; detecting a set of constraining dimensions in the image of the ear of the user; identifying a subset of hearing-assistance device options, in the set of hearing-assistance device options, defining form factors conforming to the set of constraining dimensions; accessing a set of preferences of the user; ranking the subset of hearing-assistance device options based on the set of preferences; selecting a first hearing-assistance device option, from the subset of hearing-assistance device options, corresponding to a highest rank in the subset of hearing-assistance device options; and configuring a first hearing-assistance device represented by the first hearing-assistance device option with the hearing profile.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: Techniques are provided for generating a set of target hybrid seeds with optimal yield and risk performance, including a server receiving a candidate set of hybrid seeds along with probability of successful yield values, associated historical agricultural data and property information, and selecting a subset of the hybrid seeds that have probability of success values greater than a filtering threshold. The server generates representative yield values for hybrid seeds based on the historical agricultural data and risk values for each hybrid seed. The server generates a dataset of target hybrid seeds for planting based on the risk values, the yield values, and the properties for the target fields. The dataset of target hybrid seeds includes target hybrid seeds that meet a specific threshold for a range of risk values. The server causes display of the dataset of target hybrid seeds including yield values and risk values for the target fields.

Abstract: A method includes: generating a hearing profile for a user; accessing a set of hearing-assistance device options, each hearing-assistance device option defining a form factor of a hearing-assistance device, in a set of hearing-assistance devices; accessing an image of an ear of the user; detecting a set of constraining dimensions in the image of the ear of the user; identifying a subset of hearing-assistance device options, in the set of hearing-assistance device options, defining form factors conforming to the set of constraining dimensions; accessing a set of preferences of the user; ranking the subset of hearing-assistance device options based on the set of preferences; selecting a first hearing-assistance device option, from the subset of hearing-assistance device options, corresponding to a highest rank in the subset of hearing-assistance device options; and configuring a first hearing-assistance device represented by the first hearing-assistance device option with the hearing profile.

Abstract: A method includes: generating a hearing profile for a user; accessing a set of hearing-assistance device options, each hearing-assistance device option defining a form factor of a hearing-assistance device, in a set of hearing-assistance devices; accessing an image of an ear of the user; detecting a set of constraining dimensions in the image of the ear of the user; identifying a subset of hearing-assistance device options, in the set of hearing-assistance device options, defining form factors conforming to the set of constraining dimensions; accessing a set of preferences of the user; ranking the subset of hearing-assistance device options based on the set of preferences; selecting a first hearing-assistance device option, from the subset of hearing-assistance device options, corresponding to a highest rank in the subset of hearing-assistance device options; and configuring a first hearing-assistance device represented by the first hearing-assistance device option with the hearing profile.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Abstract: A method includes: generating a hearing profile for a user; accessing a set of hearing-assistance device options, each hearing-assistance device option defining a form factor of a hearing-assistance device, in a set of hearing-assistance devices; accessing an image of an ear of the user; detecting a set of constraining dimensions in the image of the ear of the user; identifying a subset of hearing-assistance device options, in the set of hearing-assistance device options, defining form factors conforming to the set of constraining dimensions; accessing a set of preferences of the user; ranking the subset of hearing-assistance device options based on the set of preferences; selecting a first hearing-assistance device option, from the subset of hearing-assistance device options, corresponding to a highest rank in the subset of hearing-assistance device options; and configuring a first hearing-assistance device represented by the first hearing-assistance device option with the hearing profile.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

Abstract: A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.