US 11,889,793 B2
Internet-of-things management and control system for intelligent orchard
Ning Xu, Jinan (CN); Jianming Kang, Jinan (CN); Qingshan Meng, Jinan (CN); Mengmeng Niu, Jinan (CN); Tao Li, Jinan (CN); Qiangji Peng, Jinan (CN); and Na Guo, Jinan (CN)
Assigned to Shandong Academy of Agricultural Machinery Sciences, Jinan (CN)
Filed by Shandong Academy of Agricultural Machinery Sciences, Jinan (CN)
Filed on Apr. 13, 2023, as Appl. No. 18/134,063.
Claims priority of application No. 202210388669.7 (CN), filed on Apr. 14, 2022.
Prior Publication US 2023/0329159 A1, Oct. 19, 2023
Int. Cl. A01G 17/00 (2006.01); G16Y 40/35 (2020.01); G16Y 10/05 (2020.01)
CPC A01G 17/005 (2013.01) [G16Y 10/05 (2020.01); G16Y 40/35 (2020.01)] 4 Claims
OG exemplary drawing
 
1. An Internet-of-Things management and control system for an intelligent orchard, comprising a server, agricultural machinery equipment, an image acquisition apparatus disposed on a site, and sensors, wherein the agricultural machinery equipment, the image acquisition apparatus and the sensors are in communication connection with the server;
wherein the server is configured to implement a fruit tree planting planning module and, in implementing the fruit tree planting planning module, the server is configured to:
acquire regional image data, topographic data and geological environment data;
acquire an orchard planting area, and divide the orchard planting area into grids in sizes adjustable by the user to obtain grid division data;
obtain planting conditions of each grid, wherein the planting conditions comprise light conditions and soil conditions;
and
acquire data of species and a planned planting area of fruit trees to be planted, with a minimum planting area of a similar fruit tree area and differences of ideal planting conditions and planting conditions of the fruit trees to be planted as constraints, merge the grids into a plurality of plots according to the planned planting area of the fruit trees to be planted, and obtain species of corresponding fruit trees in each plot;
wherein the server is further configured to implement a disease and pest monitoring module and, in implementing the disease and pest monitoring module, the server is configured to acquire images of the fruit trees and monitor diseases and pests based on a disease and pest recognition model, wherein the disease and pest recognition model comprises a convolution layer, a local response standard layer and a maximum pooling layer;
wherein the server is in communication with the agricultural machinery equipment and sensors by a communication gateway; and
the communication gateway is configured to:
acquire a data message to be sent to the server, and determine a priority to which the data message belongs according to a data source and a preset priority rule by, after unpacking and recombination, performing active encapsulation to form data frames to be pushed to a data link layer, and, after data packets are unpacked, marking priorities on mark bits and, at the same time, uniformly marking the unpacked data packets on marker positions so that the data packets in the same data segment are recognizable when received; and
if the priority is lower, transfer data into a data register for arrangement by queue, and write the data into a message cache area; and when the data stored in the message cache area meets transmission conditions, encapsulate the data stored in the message cache area to generate a message to be sent.