US 12,260,636 B1
Decision-making method and apparatus for water and fertilizer stress of crops, and mobile phone terminal
Wengang Zheng, Beijing (CN); Zhonglili Zhang, Beijing (CN); Chunjiang Zhao, Beijing (CN); Liping Chen, Beijing (CN); Shirui Zhang, Beijing (CN); Xin Zhang, Beijing (CN); and Xinyue Lv, Beijing (CN)
Assigned to INTELLIGENT EQUIPMENT RESEARCH CENTER, BEIJING ACADEMY OF AGRICULTURE AND FORESTRY SCIENCES, Beijing (CN)
Appl. No. 18/286,235
Filed by INTELLIGENT EQUIPMENT RESEARCH CENTER, BEIJING ACADEMY OF AGRICULTURE AND FORESTRY SCIENCES, Beijing (CN)
PCT Filed Jul. 27, 2023, PCT No. PCT/CN2023/109528
§ 371(c)(1), (2) Date Oct. 10, 2023,
PCT Pub. No. WO2024/178904, PCT Pub. Date Sep. 6, 2024.
Claims priority of application No. 202310173436.X (CN), filed on Feb. 28, 2023.
Int. Cl. G06V 20/10 (2022.01); G01N 33/00 (2006.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06V 10/764 (2022.01); G06V 20/68 (2022.01); G06V 20/70 (2022.01)
CPC G06V 20/188 (2022.01) [G01N 33/0098 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06V 10/765 (2022.01); G06V 20/68 (2022.01); G06V 20/70 (2022.01); G06T 2207/10048 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30188 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A decision-making method for water and fertilizer stress of crops, comprising:
determining a current crop coefficient and canopy temperature of a crop to be identified on the basis of a first crop image and a second crop image;
determining a water stress state and a nutrient stress state on the basis of the current crop coefficient and canopy temperature of the crop to be identified; and
processing the water stress state and the nutrient stress state with a fuzzy control algorithm, and determining a water and fertilizer stress decision result of the crop to be identified, wherein
the decision result comprises an irrigation amount and/or a topdressing amount for the crop to be identified in a next cycle; the first crop image is a visible light image obtained by photographing the crop to be identified in full view with a terminal; the second crop image is a thermal infrared image obtained by photographing the crop to be identified in full view with an infrared module connected to the terminal;
the processing the water stress state and the nutrient stress state with a fuzzy control algorithm, and determining a water and fertilizer stress decision result of the crop to be identified comprises:
converting the water stress state and the nutrient stress state into linguistic variables, inputting the linguistic variables into a fuzzy controller, and obtaining an irrigation instruction output from the fuzzy controller;
setting, in response to determining that first identifier information and second identifier information that are carried by the irrigation instruction are non-null and null respectively, an irrigation amount determined according to the crop coefficient and a reference crop evapotranspiration amount as the water and fertilizer stress decision result;
setting, in response to determining that first identifier information and second identifier information that are carried by the irrigation instruction are null and non-null respectively, a topdressing amount determined according to the nutrient stress state and species information of the crop to be identified as the water and fertilizer stress decision result; and
setting, in response to determining that neither of first identifier information and second identifier information that are carried by the irrigation instruction is null, an irrigation amount determined according to the crop coefficient and a reference crop evapotranspiration amount and a topdressing amount determined according to the nutrient stress state and species information of the crop to be identified as the water and fertilizer stress decision result; and
the fuzzy controller is created on the basis of a corresponding fuzzy rule between an input fuzzy set and an output fuzzy set; the input fuzzy set is determined according to a membership function set on the basis of fuzzy scales obtained by conducting fuzzy division on the water stress state and the nutrient stress state; the output fuzzy set is determined according to a membership function set on the basis of strategy scales of a plurality of water and fertilizer stress states obtained by clarifying a fuzzy language; the fuzzy rule is created by determining corresponding water and fertilizer stress states according to different water stress states and nutrient stress states; identifier information carried by the irrigation instruction is determined according to the water and fertilizer stress state; the first identifier information is configured to indicate whether to conduct irrigation; and the second identifier information is configured to indicate whether to conduct topdressing.