Smart crop, fertilizer and disease prediction system using machine learning, has techniques of machine learning applied on agriculture to predict best crop which help in getting maximum yield rate of crops
	PAVITHRA S; AISHWARYA J; DEEPTHI B; REDDY S P B; CHRISTY J S
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069611-A
成果简介	NOVELTY - The system has techniques of machine learning (ML) applied on agriculture to predict best crop which help in getting maximum yield rate of crops. The farmers are aware about the desired technologies in ML to provide correct farming inputs for best results. The assembly of crops depends on several factors e.g. climatic conditions like rainfall, temperature, humidity and soil parameters like soil type, soil nutrients values, power of hydrogen (pH) values. The experience from farmers who previously produced the crops are collected. The crops are predicted for optimum yield using different ML techniques. USE - Smart crop, fertilizer and disease prediction system using ML. ADVANTAGE - The system helps the farmers to select best crop to grow, predicts productivity of crop in various climate to help farmers to yield, selects the effective suitable crops for soil, performs crop yield prediction supporting textual dataset and allows user to check variety of crop which accurately fits for conditions and find crop suggestions.
IPC 分类号	G06F-016/23 ; G06K-009/62 ; G06N-020/10 ; G06N-020/20 ; G06N-003/00
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19652
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	PAVITHRA S,AISHWARYA J,DEEPTHI B,et al. Smart crop, fertilizer and disease prediction system using machine learning, has techniques of machine learning applied on agriculture to predict best crop which help in getting maximum yield rate of crops. IN202341069611-A[P]. 2023.

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