Scope and Recent Trends of Artificial Intelligence in Indian Agriculture

Mary, X. Anitha; Popov, Vladimir; Raimond, Kumudha; Johnson, I.; Vijay, S.J.

doi:10.1002/9781119823469.ch1

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…AI algorithms are capable of self-learning without expecting parental distribution. The goal of AI is to build a prediction model that explores undiscovered commonalities in a challenging conundrum ( Anitha Mary et al., 2022 ). In relation to this, machine learning (ML), a subset of AI, gives computers the capacity to train without deliberate programming by utilizing statistical techniques to permit machines to get better over time.…”

Section: Constraints and Future Trendsmentioning

confidence: 99%

Plant growth-promoting rhizobacteria: Salt stress alleviators to improve crop productivity for sustainable agriculture development

et al. 2023

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Soil salinity, a growing issue worldwide, is a detrimental consequence of the ever-changing climate, which has highlighted and worsened the conditions associated with damaged soil quality, reduced agricultural production, and decreasing land areas, thus resulting in an unsteady national economy. In this review, halo-tolerant plant growth-promoting rhizo-microbiomes (PGPRs) are evaluated in the salinity-affected agriculture as they serve as excellent agents in controlling various biotic–abiotic stresses and help in the augmentation of crop productivity. Integrated efforts of these effective microbes lighten the load of agro-chemicals on the environment while managing nutrient availability. PGPR-assisted modern agriculture practices have emerged as a green strategy to benefit sustainable farming without compromising the crop yield under salinity as well as salinity-affected supplementary stresses including increased temperature, drought, salinity, and potential invasive plant pathogenicity. PGPRs as bio-inoculants impart induced systemic tolerance (IST) to plants by the production of volatile organic compounds (VOCs), antioxidants, osmolytes, extracellular polymeric substances (EPS), phytohormones, and ACC-deaminase and recuperation of nutritional status and ionic homeostasis. Regulation of PGPR-induced signaling pathways such as MAPK and CDPK assists in salinity stress alleviation. The “Next Gen Agriculture” consists of the application of designer crop microbiomes through gene editing tools, for instance, CRISPR, and engineering of the metabolic pathways of the microbes so as to gain maximum plant resistance. The utilization of omics technologies over the traditional approaches can fulfill the criteria required to increase crop yields in a sustainable manner for feeding the burgeoning population and augment plant adaptability under climate change conditions, ultimately leading to improved vitality. Furthermore, constraints such as the crop specificity issue of PGPR, lack of acceptance by farmers, and legal regulatory aspects have been acknowledged while also discussing the future trends for product commercialization with the view of the changing climate.

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Section: Constraints and Future Trendsmentioning

confidence: 99%

Plant growth-promoting rhizobacteria: Salt stress alleviators to improve crop productivity for sustainable agriculture development

et al. 2023

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“…Artificial intelligence increases the flexibility of the agricultural sector by using modern technological solutions in the production process. For example, biosensors that allow you to monitor soil moisture and fertility[Anitha et al 2022]. Instead of using Table1.…”

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confidence: 99%

Automation of Production Processes in Agriculture Using Selected Artificial Intelligence Tools

Kulykovets

2023

Annals PAAAE

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The agriculture industry is experiencing a transformative shift towards greater efficiency and sustainability through the integration of artificial intelligence (AI) tools into various production processes. This article presents an overview of selected AI tools and their practical utilization in agriculture, shedding light on their profound impact on enhancing crop yields, resource management, and overall farm productivity. The article also provides an overview of the definition of artificial intelligence and a timeline starting with the first mention of artificial intelligence and ending with the present to better understand the described issue. The article highlights the importance of responsible AI development and integration. The ethical and societal implications of AI in agriculture, such as job displacement and data privacy concerns, are also addressed. The adoption of AI technologies is expected to play a vital role in meeting the global food demand while addressing the challenges faced by the agriculture sector. However, it is crucial to navigate these advancements responsibly, ensuring that the benefits of AI in agriculture are maximized while minimizing potential drawbacks.

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Artificial Intelligence in Agriculture: Potential Applications and Future Aspects

Sehgal,

Sharma,

Tandon

2024

Studies in Computational Intelligence

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Scope and Recent Trends of Artificial Intelligence in Indian Agriculture

Cited by 4 publications

References 12 publications

Plant growth-promoting rhizobacteria: Salt stress alleviators to improve crop productivity for sustainable agriculture development

Plant growth-promoting rhizobacteria: Salt stress alleviators to improve crop productivity for sustainable agriculture development

Automation of Production Processes in Agriculture Using Selected Artificial Intelligence Tools

Artificial Intelligence in Agriculture: Potential Applications and Future Aspects

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