Smart farming using Machine Learning and Deep Learning techniques
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Abstract
The practice of cultivating the soil, producing crops, and keeping livestock is referred to as farming. Agriculture is critical to a country’s economic development. Nearly 58 percent of a country’s primary source of livelihood is farming. Farmers till date had adopted conventional farming techniques. These techniques were not precise thus reduced the productivity and consumed a lot of time. Precise farming helps to increase the productivity by precisely determining the steps that needs to be practiced at its due season. Predicting the weather conditions, analyzing the soil, recommending the crops for cultivation, determine the amount of fertilizers, pesticides that need to be used are some elements of…
Citation impact
262
total citations
- FWCI
- 51.25
- Percentile
- 100%
- References
- 23
Citations per year
Authors
2Topics & keywords
Keywords
- Agriculture
- Productivity
- Livelihood
- Precision agriculture
- Business
- Work (physics)
- Integrated farming
- Mixed farming
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