Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Clamp and Bending Strain Relief (BSR) system and method are disclosed. One example of a system can include a clamp coupled to a cable. The clamp is configured to couple an apparatus to the cable while allowing the cable to pass continuously through the clamp. A BSR apparatus is coupled to the clamp and the cable by a housing.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: In at least some embodiments, a disclosed subsea cable includes one or more floodable optical fiber conduits each having at least one tight buffered optical fiber for transporting optical signals. Each tight buffered optical fiber may have a relatively limited length. The subsea cable may further include multiple strength members contra-helically wound around or together with the one or more floodable optical fiber conduits. There may also or alternatively be included at least one hermetically sealed optical fiber conduit having at least one protected optical fiber spliced to one of the tight buffered optical fibers. At least some implementations splice each of the tight buffered optical fibers to corresponding protected fibers for the long-haul communications. Flooding of the floodable conduits may be provided via connectors at the subsea cable ends, via breakout locations where sensors are attached, and/or via vents in the conduit wall.

Abstract: According to one example, a floodable sensor station is coupled to an optical cable. The optical cable may be floodable. The floodable sensor station may connect floodable optical cables as part of a permanent reservoir monitoring system. The floodable optical cable may house a plurality of floodable optical fiber conduits. The floodable sensor station may be pressure-balanced with its surrounding environment in high-pressure marine depths of 1500 meters or more.

Abstract: Clamp and Bending Strain Relief (BSR) system and method are disclosed. One example of a system can include a clamp coupled to a cable. The clamp is configured to couple an apparatus to the cable while allowing the cable to pass continuously through the clamp. A BSR apparatus is coupled to the clamp and the cable by a housing.

Abstract: Clamp and Bending Strain Relief (BSR) system and method are disclosed. One example of a system can include a clamp coupled to a cable. The clamp is configured to couple an apparatus to the cable while allowing the cable to pass continuously through the clamp. A BSR apparatus is coupled to the clamp and the cable by a housing.

Abstract: Clamp and Bending Strain Relief (BSR) system and method are disclosed. One example of a system can include a clamp coupled to a cable. The clamp is configured to couple an apparatus to the cable while allowing the cable to pass continuously through the clamp. A BSR apparatus is coupled to the clamp and the cable by a housing.

Abstract: According to one example, a floodable sensor station is coupled to an optical cable. The optical cable may be floodable. The floodable sensor station may connect floodable optical cables as part of a permanent reservoir monitoring system. The floodable optical cable may house a plurality of floodable optical fiber conduits. The floodable sensor station may be pressure-balanced with its surrounding environment in high-pressure marine depths of 1500 meters or more.

Abstract: In at least some embodiments, a disclosed subsea cable includes one or more floodable optical fiber conduits each having at least one tight buffered optical fiber for transporting optical signals. Each tight buffered optical fiber may have a relatively limited length. The subsea cable may further include multiple strength members contra-helically wound around or together with the one or more floodable optical fiber conduits. There may also or alternatively be included at least one hermetically sealed optical fiber conduit having at least one protected optical fiber spliced to one of the tight buffered optical fibers. At least some implementations splice each of the tight buffered optical fibers to corresponding protected fibers for the long-haul communications. Flooding of the floodable conduits may be provided via connectors at the subsea cable ends, via breakout locations where sensors are attached, and/or via vents in the conduit wall.