{"title":"Need for real-time monitoring in custom hiring centers (CHCs)","authors":"N. Sai Rama Krishna Harish, Sanwal Singh Meena","doi":"10.1007/s43926-025-00250-1","DOIUrl":null,"url":null,"abstract":"In India where mechanization is essential for national food security due to the country’s increasing population and food need agriculture is the main occupation. Considering that farm electricity availability is 3.045 kW/ha and that more than 85% of farmers are small (1–2 ha) or marginal (< 1 ha), they have little money to spend on expensive machinery. upto 2024–2025, 26,662 Custom Hiring Center (CHCs) will have been established to bridge this gap as well as offer a crucial tool to improve access to farm mechanization. This review examines the role challenges and opportunities of CHCs, focusing on integrating digital technologies. It proposes an IoT-, AI-, and ML-based real-time monitoring framework using secondary data sources. CHCs allow farmers to rent machinery when required, offering a more affordable option than individual ownership. However peak-season shortages lack of skilled operators, and inefficient scheduling limit their effectiveness. A framework integrating sensor-based real-time monitoring and digital platforms is proposed to enhance machinery utilization predictive maintenance operator efficiency and financial transparency evidence shows IoT- and AI-enabled systems can reduce downtime improve accessibility and lower operational costs strengthening CHC sustainability. In conclusion, digitally monitored CHCs supported by schemes like NMAM, NICRA, SMAM, NFSM, RKVY, and MIDH offer a cost-effective and sustainable pathway for farm mechanization.","PeriodicalId":34751,"journal":{"name":"Discover Internet of Things","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover Internet of Things","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1007/s43926-025-00250-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In India where mechanization is essential for national food security due to the country’s increasing population and food need agriculture is the main occupation. Considering that farm electricity availability is 3.045 kW/ha and that more than 85% of farmers are small (1–2 ha) or marginal (< 1 ha), they have little money to spend on expensive machinery. upto 2024–2025, 26,662 Custom Hiring Center (CHCs) will have been established to bridge this gap as well as offer a crucial tool to improve access to farm mechanization. This review examines the role challenges and opportunities of CHCs, focusing on integrating digital technologies. It proposes an IoT-, AI-, and ML-based real-time monitoring framework using secondary data sources. CHCs allow farmers to rent machinery when required, offering a more affordable option than individual ownership. However peak-season shortages lack of skilled operators, and inefficient scheduling limit their effectiveness. A framework integrating sensor-based real-time monitoring and digital platforms is proposed to enhance machinery utilization predictive maintenance operator efficiency and financial transparency evidence shows IoT- and AI-enabled systems can reduce downtime improve accessibility and lower operational costs strengthening CHC sustainability. In conclusion, digitally monitored CHCs supported by schemes like NMAM, NICRA, SMAM, NFSM, RKVY, and MIDH offer a cost-effective and sustainable pathway for farm mechanization.
期刊介绍:
Discover Internet of Things is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open access, community-focussed journal publishing research from across all fields relevant to the Internet of Things (IoT), providing cutting-edge and state-of-art research findings to researchers, academicians, students, and engineers.
Discover Internet of Things is a broad, open access journal publishing research from across all fields relevant to IoT. Discover Internet of Things covers concepts at the component, hardware, and system level as well as programming, operating systems, software, applications and other technology-oriented research topics. The journal is uniquely interdisciplinary because its scope spans several research communities, ranging from computer systems to communication, optimisation, big data analytics, and application. It is also intended that articles published in Discover Internet of Things may help to support and accelerate Sustainable Development Goal 9: ‘Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation’.
Discover Internet of Things welcomes all observational, experimental, theoretical, analytical, mathematical modelling, data-driven, and applied approaches that advance the study of all aspects of IoT research.