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Kaplun D, Deka S, Bora A, Choudhury N, Basistha J, Purkayastha B, Mazumder IZ, Gulvanskii V, Sarma KK, Misra DD. An intelligent agriculture management system for rainfall prediction and fruit health monitoring. Sci Rep 2024; 14:512. [PMID: 38177254 PMCID: PMC10766985 DOI: 10.1038/s41598-023-49186-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 12/05/2023] [Indexed: 01/06/2024] Open
Abstract
Contrary to popular belief, agriculture is becoming more data-driven with artificial intelligence and Internet-of-Things (IoT) playing crucial roles. In this paper, the integrated processing executed by various sensors combined as an IoT pack and driving an intelligent agriculture management system designed for rainfall prediction and fruit health monitoring have been included. The proposed system based on an AI aided model makes use of a Convolutional Neural Network (CNN) with long short-term memory (LSTM) layer for rainfall prediction and a CNN with SoftMax layer along with a few deep learning pre-trained models for fruit health monitoring. Another model that works as a combined rainfall predictor and fruit health recognizer is designed using a CNN + LSTM and a multi-head self-attention mechanism which proves to be effective. The entire system is cloud resident and available for use through an application.
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Affiliation(s)
- Dmitrii Kaplun
- Artificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou, 221116, China
| | - Surajit Deka
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India.
| | - Arunabh Bora
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India
| | - Nupur Choudhury
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India
| | - Jyotishman Basistha
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India
| | - Bhaswadeep Purkayastha
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India
| | - Ifthikaruz Zaman Mazumder
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India
| | - Vyacheslav Gulvanskii
- Mobile Information Systems Laboratory, Saint Petersburg Electrotechnical University "LETI", St. Petersburg, 197022, Russia
- Department of Automation and Control Processes, Saint Petersburg Electrotechnical University "LETI", St. Petersburg, 197022, Russia
| | - Kandarpa Kumar Sarma
- Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, 781014, India.
| | - Debashis Dev Misra
- Department of Computer Science and Engineering, Assam Downtown University, Guwahati, Assam, 781026, India
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Das MS, Misra DD, Das S. Sensitivity of Plasmodium falciparum to chloroquine in Calcutta. Indian J Public Health 1988; 32:162-3. [PMID: 3078312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
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