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Evaluation of Soil Physical, Chemical Parameter and Enzyme Activities as Indicator of Soil Fertility with SFM Model in IA–AW Zone of Rajasthan

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1154))

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Abstract

Soil fertility management of agricultural and waste land was a complicate process that involved multiple physical, chemical parameters and enzyme activities criteria. Field data was collected from two types of lands: agricultural and waste land. The variation in soil parameters was assessed using the deterioration index (DI). Soil laboratory analysis was performed following standard methods. Soil parameters considered were electrical conductivity (EC), pH, organic carbon (OC), organic matter (OM), nitrogen (N), potassium (K), phosphorus (P), zinc (Zn), copper (Cu), iron (Fe), manganese (Mn), sulphur (S), cation exchange capacity (CEC), soil contents, texture, calcium carbonate (CaCO3), bulk density (BD), acid phosphatase activity (APA), alkaline phosphatase activity (ALPA), dehydrogenase activity (DHA) and urease activity (UA). The high status was observed in 70% FLS and 64% WLS soil for sulphur nutrient. Compared to reference site (FLS), overall deterioration index value was +53.53% observed for WLS of IA–AW zone. In WLS, positive DI value +72.32 and +57.14% was assessed for electrical conductivity and calcium carbonate, respectively. The increasing DI of dehydrogenase and sulphur nutrient −569.08 and −16.98% were analyzed for WLS in IA–AW zone. In this study, we are using a SFM model based on multi-criteria to identify exact soil fertility problem to sustainably achieve goals such as improvement of soil quality and agricultural production. This study can be applicable to make sustainability management of agricultural and waste land in IA–AW zone of Rajasthan. Soil fertility investigations of IA–AW zone are compulsory for efficient environmental management, soil ecology, and contribute to sustainable development of soil ecology and agricultural production.

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Authors and Affiliations

  1. Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, India

    Jyoti Sihag

  2. Shobhit University Gangoh, Saharanpur, India

    Divya Prakash

  3. Amity University of Science and Instrumentation Centre, Amity University Rajasthan, Jaipur, India

    Parul Yadav

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  1. Jyoti Sihag
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  2. Divya Prakash
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  3. Parul Yadav
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Correspondence to Divya Prakash .

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Editors and Affiliations

  1. Department of Paper Technology, IIT Roorkee, Roorkee, India

    Millie Pant

  2. Graphic Era Hill University, Dehradun, Uttarakhand, India

    Tarun Kumar Sharma

  3. NIT Patna, Patna, India

    Rajeev Arya

  4. NIT Patna, Patna, India

    B.C. Sahana

  5. Ryerson University, Toronto, ON, Canada

    Hossein Zolfagharinia

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Sihag, J., Prakash, D., Yadav, P. (2020). Evaluation of Soil Physical, Chemical Parameter and Enzyme Activities as Indicator of Soil Fertility with SFM Model in IA–AW Zone of Rajasthan. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore. https://doi.org/10.1007/978-981-15-4032-5_98

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