Water Resource and Use Efficiency Under Changing Climate

Abhilash, .; Rani, Alka; Kumari, Arti; Kumar, Jitendra

doi:10.1007/978-981-15-6953-1_15

Cited by 8 publications

(2 citation statements)

References 115 publications

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“…With the deployment of sensors and connected devices, farmers can receive instant updates about their fields, allowing for timely interventions that can prevent crop failures or disease outbreaks. According to Abhilash et al [55], IoT applications in irrigation management have shown potential to reduce water use by up to 30% while maintaining or increasing crop yields in water-scarce regions like Rajasthan. The integration of genomics in agriculture, another emerging frontier, offers prospects for developing crop varieties that are more resistant to diseases and pests, better suited to specific microclimates, and capable of higher yields.…”

Section: Future Directionsmentioning

confidence: 99%

A Review on Precision Agriculture Navigating the Future of Farming with AI and IoT

M E,

Devi,

Soni

et al. 2024

AJSSPN

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Precision agriculture (PA) integrates advanced technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance the efficiency, productivity, and sustainability of agricultural practices. In India, the adoption of these technologies is emerging as a transformative force aimed at overcoming longstanding challenges such as resource depletion, yield variability, and environmental degradation. This review paper discusses the evolution and current state of PA in India, emphasizing the role of AI and IoT in revolutionizing farming practices. AI enhances decision-making through predictive analytics and machine learning models, enabling precise crop and soil monitoring, disease detection, and yield prediction. IoT complements these capabilities by providing essential infrastructure for data collection and real-time monitoring, facilitating smarter resource management and operational efficiency. The paper identifies key technical, economic, and social challenges hindering the widespread adoption of PA technologies in India, including high initial costs, scalability issues, data privacy concerns, and the impact on traditional farming employment. Solutions such as government subsidies, tailored technology adaptation, and comprehensive farmer training programs are discussed as means to address these challenges. The paper concludes by highlighting the importance of multi-stakeholder collaboration in fostering an environment conducive to the growth of precision agriculture in India. Through a combination of policy support, technological innovation, and strategic partnerships, India can fully leverage PA to meet its agricultural goals of sustainability and high productivity.

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Section: Future Directionsmentioning

confidence: 99%

A Review on Precision Agriculture Navigating the Future of Farming with AI and IoT

M E,

Devi,

Soni

et al. 2024

AJSSPN

View full text Add to dashboard Cite

show abstract

“…However, these changes may be due to several factors also that depend on the socioeconomic, political and climatic conditions of each region (Kafi et al, 2014). Despite of it, climate change brings a number of challenges, particularly in terms of soil and water quality, quantity, and long-term sustainability, all of which necessitate judicious management (Abhilash et al 2020). In case of land management, optimal land use requires not only information on existing land use / land cover, but also the ability to monitor the dynamics of land use changes.…”

mentioning

confidence: 99%

Decadal Land Use Land Cover Change Analysis using Remote Sensing and GIS in Nagpur city of Maharashtra, India

Kumari

Upadhyaya

NAGARKAR³

et al. 2021

JAS

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An attempt has been made to analyze the LULC change pattern of Nagpur over the past decade (2010-2020) using remote sensing and GIS. In this study, the LULC map for selected years was prepared by supervised classification using a maximum likelihood algorithm from Landsat data, and accuracy assessment by confusion matrix. The results showed that there were major changes in built-up areas (17.37% expansion) and barren land (19.32% deduction). However, water bodies and forest cover decreased slightly by 0.17% and 0.76%, respectively. Overall, the acreage used for agriculture increased by 2.88% and seems to have been replaced by barren / forest areas. Overall, the LULC change detection algorithms used for classification was very effective with an overall accuracy of 78.88 and 73.30% and a kappa coefficient of 0.74 and 0.67, respectively for 2010 and 2020, considered substantial. Overall, Nagpur's land cover changes constantly due to overcrowding; water and forest bodies are adversely affected by rapid urbanization. The study concludes that previous 10 years of Nagpur LULC trend analysis will help to understand land use change pattern by line departments and take necessary actions to reduce the negative impact of land use and land cover change, as well as proper land use planning and management of the Nagpur city.

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Enhancing Agricultural Water Productivity Using Deficit Irrigation Practices in Water-Scarce Regions

Suna

Kumari

Paramaguru³

et al. 2023

Enhancing Resilience of Dryland Agriculture Under Changing Climate

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Water Resource and Use Efficiency Under Changing Climate

Cited by 8 publications

References 115 publications

A Review on Precision Agriculture Navigating the Future of Farming with AI and IoT

A Review on Precision Agriculture Navigating the Future of Farming with AI and IoT

Decadal Land Use Land Cover Change Analysis using Remote Sensing and GIS in Nagpur city of Maharashtra, India

Enhancing Agricultural Water Productivity Using Deficit Irrigation Practices in Water-Scarce Regions

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