System for monitoring growth and health of plants forming canopy structure e.g. grape vineyard, has processor that generates recommendation in form of corrective measure to manage crop health based on microclimatic parameter within pre-set range
	BAGHINI M S; VELMURUGAN R; LADHA R; VASANI R; LANDGE K; SHAIKH T; GAJARUSHI A S; BANERJEE P
	2024-04-15
专利权人	TIH FOUND IOT & IOE (TIHI-Non-standard) ; INDIAN INST TECHNOLOGY BOMBAY (IITB-C)
申请日期	2024-04-15
专利号	IN202421030359-A
成果简介	NOVELTY - The system (100) has several sensors (102), a memory, a server (106), a processor (108) and a communication network (104). The sensors are arranged in a spatial area at various heights of a leaf canopy of a plant. The sensors are communicably coupled with the server through the communication network. The server comprises the processor. The processor receives microclimatic parameter in real time from the sensors continuously. The processor analyses the received parameter using at least one of an artificial intelligence and a machine learning (AI/ML) model (114) in real-time. The processor predicts a condition affecting the leaf canopy using the analysis of the a microclimatic parameter, utilizing at least one of the AI/ML model, and generates a recommendation in form of a corrective measure to manage the crop health based on the microclimatic parameter within a pre-set range to prevent the condition affecting the leaf canopy. USE - System for monitoring growth and health of plants forming canopy structure such as grapes vineyard, mango, berry and apple using Internet of Things (IoT). ADVANTAGE - The system analyzes a received micro-climatic parameter in real-time to monitor the plant health, is multi-channeled and multi-parametric, provides energy-autonomous real-time and real-field data for recording the microclimate and parameters underneath a canopy formed by the crops or underneath the leaf-zone area, predicts the condition affecting the leaf canopy using the analysis of at least one microclimatic parameter, utilizing one of the AI/ML model, generates the recommendation for efficient plant health management to prevent the least one condition affecting the plant health, generates and transmits an alert to user device for a plant quality based on the prediction of at least one condition affecting the crop health, generates insights into the interaction of at least one microclimatic parameter with the other microclimatic parameters and with the plant, and the impact of the change in microclimatic parameter on a plant health, performs remote monitoring of the local weather, soil parameters and microclimate on the user device and displays the analysis of the parameters and the generated predictions for the health of the plant to a user on the user device. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a system for monitoring growth and health of plants. 100System for monitoring growth and health of plants 102Sensor 104Communication network 106Server 108Processor 114AI/ML model
IPC 分类号	A01G-009/24 ; A61B-003/11 ; A61B-005/00 ; A61F-007/02 ; G06T-007/60
国家	印度
专业领域	农业科学
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/17193
专题	中国科学院新疆生态与地理研究所
作者单位	1.TIH FOUND IOT & IOE (TIHI-Non-standard) 2.INDIAN INST TECHNOLOGY BOMBAY (IITB-C)
推荐引用方式 GB/T 7714	BAGHINI M S,VELMURUGAN R,LADHA R,et al. System for monitoring growth and health of plants forming canopy structure e.g. grape vineyard, has processor that generates recommendation in form of corrective measure to manage crop health based on microclimatic parameter within pre-set range. IN202421030359-A[P]. 2024.

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