International Journal of Technology and Applied Science

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Soil Composition Analysis with Crop and Inadequacy Suggestion

Author(s) Mr. DHEERAJ K R, Dr. BINU P CHACKO, Ms. DEEPTHI M PISHARODY
Country India
Abstract As large populace of India primarily depends upon agriculture and related activities and it has a major role in Supporting the economy for its opulence. Any inadequacy of minerals and fallacious usage of agriculture tracts creates less-efficient utilization and abated yields. Most of the crop loss and less-efficiency of soil depend on the discrepancies of soil type and the crops.Thus the compatibility of soil and the crops is indispensable and to be ensured for sustainable agriculture.Most of agricultural land usages fall under the category in which the soil usage is unscientific and disparity of crop and soil exists. In such situations this inevitable compatibility is belied.In India there are different types of soils such as loamy, laterite,gravelly, peat et cetera having different compositions of minerals and there will be a deems-fit crops for each soil types. An appraisal Of soil composition will torch light to this notion and efficient utilization of soil will be ascertained.
The weilding of computerized actions in this scenario will ensure increased yields via digitization in agriculture. The use of Agricultural lands pursuant to the soil composition may help the farmers to produce enhanced yields and make a opulent economy.Analysis and suggesting the crops and inadequate minerals is sometimes banal and erroneous, thus replacing it by digital methods reduce human work on it.
Keywords Support vector machine, Random forest, Artificial Intelligence, Ensemble methods,Soil nutrients, soil PH
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 6, June 2026
Published On 2026-06-30
DOI https://doi.org/10.71097/IJTAS.v17.i6.1344
Short DOI https://doi.org/hb9bqm
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