Abstract
Indian agriculture is overwhelmed by numerous complications; some of them are usual, and some others are artificial like small and fragmented land-holdings, seeds, manures, crop selection, crop planning, fertilizers and biocides, irrigation, lack of mechanization, soil erosion, agricultural marketing, inadequate storage facilities, and so on. With the progression of different and specific outfits for the viability test of crop management are essential for providing reliable data observing to the performance of crop management. Valuable practical data can be collected by utilizing fuzzy logic-based scheme, in contrast with the intrinsic objectivity for collecting the data in gradual progression without any flaw. By dint of subject expertise and with the knowledge of scientific derivation, the approach should inspire to every corners of the country and management of cropping schemes. This paper analyzes the application of soft computing techniques in crop management in the field of farming and organic engineering is manifested. Upcoming progress and implementation using soft computing in the arena of farming and organic work to be think about.
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Sethy, P.K., Panigrahi, G.R., Barpanda, N.K., Behera, S.K., Rath, A.K. (2018). Application of Soft Computing in Crop Management. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_64
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DOI: https://doi.org/10.1007/978-981-10-7566-7_64
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