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US-12620038-B2 - Crop management system

US12620038B2US 12620038 B2US12620038 B2US 12620038B2US-12620038-B2

Abstract

A system according to embodiments comprises a collection unit, a management unit, an analysis unit, and a provision unit. The collection unit collects data. The management unit centrally manages the data collected by the collection unit. The analysis unit analyzes the data managed by the management unit. The provision unit provides advice based on the analysis results obtained by the analysis unit.

Inventors

  • Mikio Yagi

Assignees

  • SOFTBANK GROUP CORP.

Dates

Publication Date
20260505
Application Date
20250829
Priority Date
20240910

Claims (13)

  1. 1 . A crop management system comprising: a plurality of Internet of Things (IoT) devices installed on a farm and configured to collect environmental data including soil moisture data and temperature data; a cloud database; a communication interface; an output device configured to output information to a user; an irrigation unit configured to supply water to the farm; a weather prediction unit configured to predict rainfall; and a data processing device including a processor and a memory storing a program, a data generation model, and an emotion identification model, wherein the data processing device is configured to receive the environmental data via the communication interface from the plurality of IoT devices, wherein the program, when executed by the processor, causes the processor to perform: (i) a collection process in which the processor acquires the environmental data and sets collection parameters that include a data collection timing and a priority of data to be collected; (ii) a management process in which the processor transmits the environmental data to the cloud database and centrally manages the environmental data in the cloud database; (iii) an analysis process in which the processor analyzes the environmental data managed in the cloud database using the data generation model and outputs analysis results that include at least one of a crop growth prediction and a disease warning; and (iv) a provision process in which the processor generates crop management advice based on the analysis results and causes the output device to output the crop management advice, wherein the program, when executed by the processor, further causes the processor to estimate user's emotions using the emotion identification model, wherein the emotion identification model determines the user's emotions according to an emotion map in which multiple emotions are mapped, and based on the estimated user's emotions, the program causes the processor to control the provision process by adjusting at least one of (a) a priority of advice to be output as the crop management advice and (b) an amount of information included in the crop management advice, wherein the crop management advice includes at least one of an irrigation timing, a frequency of irrigation, or an optimal water amount determined based on the soil moisture data, and wherein the program, when executed by the processor, further causes the processor to control the irrigation unit, based on the soil moisture data, to: (v) automatically determine at least one of the irrigation timing, the frequency of irrigation, or the optimal water amount based on the soil moisture data; (vi) cause the irrigation unit to start supplying water when the soil moisture data indicates that soil moisture decreases, and supply water in accordance with the determined optimal water amount; (vii) adjust at least one of the irrigation timing, the frequency of irrigation, or the optimal water amount according to a crop growth stage; and (viii) refrain from automatically performing irrigation in response to predicting rainfall by the weather prediction unit.
  2. 2 . The crop management system according to claim 1 , wherein, based on the estimated user's emotions, the program causes the processor to control the collection process by adjusting at least one of the data collection timing and the priority of data to be collected, and to control at least one of the provision process and the output device, such that the program causes the processor to reduce the frequency of data collection and send fewer notifications when the user is feeling stressed, to increase the frequency of data collection and provide detailed information when the user is relaxed, and to prioritize collection of only important data and send notifications quickly when the user is in a hurry.
  3. 3 . The crop management system according to claim 1 , wherein, based on the estimated user's emotions, the program causes the processor to determine the priority of data to be collected such that: when the user is feeling stressed, the processor prioritizes collection of the soil moisture data over the temperature data; when the user is relaxed, the processor prioritizes collection of both the soil moisture data and the temperature data; and when the user is in a hurry, the processor prioritizes collection of the soil moisture data and deprioritizes collection of the temperature data.
  4. 4 . The crop management system according to claim 1 , wherein, in the collection process, the program causes the processor to collect, as the environmental data, the soil moisture data and the temperature data for a specific area of the farm, and, in response to the analysis results including the disease warning for the specific area, increase a frequency of collecting the soil moisture data and the temperature data for the specific area.
  5. 5 . The crop management system according to claim 1 , wherein the emotion map arranges emotions concentrically, places more primitive emotions closer to a center of the emotion map, places “pleasant” emotions on one side of the emotion map, and places “unpleasant” emotions on another side of the emotion map.
  6. 6 . The crop management system according to claim 1 , wherein the emotion identification model inputs at least one of voice data and image data into a pre-learned neural network, acquires emotion values indicating each emotion mapped in the emotion map, and determines the user's emotions based on the emotion values.
  7. 7 . The crop management system according to claim 1 , wherein, in the management process, the program causes the processor to encrypt the environmental data, implement access control for the environmental data stored in the cloud database, regularly back up the environmental data stored in the cloud database, and perform recovery of the backed-up environmental data.
  8. 8 . The crop management system according to claim 1 , wherein, in the analysis process, the program causes the processor to compare past environmental data managed in the cloud database with current environmental data to output the crop growth prediction, and to output the disease warning based on comparing the past environmental data with the current environmental data.
  9. 9 . The crop management system according to claim 1 , wherein the crop management advice further includes a fertilization timing and disease prevention measures for crops.
  10. 10 . The crop management system according to claim 1 , wherein the weather prediction unit is configured to predict rainfall based on the environmental data.
  11. 11 . The crop management system according to claim 1 , wherein the program causes the processor to control the irrigation unit to automatically start irrigation when the soil moisture decreases, and to adjust a frequency of irrigation and a water amount according to a crop growth stage.
  12. 12 . The crop management system according to claim 1 , further comprising a pest detection unit configured to detect presence of pests on crops based on the environmental data and image data of the crops.
  13. 13 . The crop management system according to claim 1 , further comprising a harvest prediction unit configured to predict a harvest timing based on the environmental data and the crop growth prediction.

Description

CROSS-REFERENCE TO RELATED APPLICATION The present application claims priority to and incorporates by reference the entire contents of Japanese Patent Application No. 2024-156208 filed in Japan on Sep. 10, 2024. BACKGROUND OF THE INVENTION Field of the Invention The technology of this disclosure relates to a system. Description of the Related Art Japanese Patent Application Laid-open No. 2022-180282 discloses a persona chatbot control method executed by at least one processor, comprising: receiving a user utterance, adding the user utterance to a prompt containing instructions related to the character of the chatbot, encoding the prompt, inputting the encoded prompt into a language model, and generating a chatbot utterance in response to the user utterance. In conventional technology, there has been a problem in that real-time monitoring of farm conditions, centralized management of data, and provision of appropriate advice based on analysis results have not been sufficiently achieved. SUMMARY OF THE INVENTION The system according to the embodiment comprises a collection unit, a management unit, an analysis unit, and a provision unit. The collection unit collects data. The management unit centrally manages the data collected by the collection unit. The analysis unit analyzes the data managed by the management unit. The provision unit provides advice based on the analysis results obtained by the analysis unit. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a conceptual diagram showing an example configuration of a data processing system according to the first embodiment; FIG. 2 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to the first embodiment; FIG. 3 is a conceptual diagram showing an example configuration of a data processing system according to the second embodiment; FIG. 4 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to the second embodiment; FIG. 5 is a conceptual diagram showing an example configuration of a data processing system according to the third embodiment; FIG. 6 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to the third embodiment; FIG. 7 is a conceptual diagram showing an example configuration of a data processing system according to the fourth embodiment; FIG. 8 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to the fourth embodiment; FIG. 9 shows an emotion map where multiple emotions are mapped; and FIG. 10 shows an emotion map where multiple emotions are mapped. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an example of an embodiment of the system related to the technology disclosed herein will be described with reference to the attached drawings. First, the terminology used in the following description will be explained. In the following embodiments, a processor with a sign (hereinafter simply referred to as “processor”) may be a single computing device or a combination of multiple computing devices. The processor may be a single type of computing device or a combination of multiple types of computing devices. Examples of computing devices include a CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit), among others. In the following embodiments, a RAM (Random Access Memory) with a sign is a memory where information is temporarily stored and used as a work memory by the processor. In the following embodiments, a storage with a sign is one or more non-volatile storage devices for storing various programs and parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, among others. In the following embodiments, a communication I/F (Interface) with a sign is an interface including a communication processor and an antenna, among others. The communication I/F manages communication between multiple computers. Examples of communication standards applicable to the communication I/F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), among others. In the following embodiments, “A and/or B” means “at least one of A and B.” In other words, “A and/or B” means it may be only A, only B, or a combination of A and B. Moreover, when expressing three or more items connected by “and/or,” the same concept as “A and/or B” applies. First Embodiment FIG. 1 shows an example configuration of a data processing system 10 according to the first embodiment. As shown in FIG. 1, the data processing system 10 comprises a data processing device 12 and a smart device 14. An exam