SUGGESTING SUITABLE CROPS BASED ON NUTRIENTS USING DEEP LEARNING
Priyeshwar M D
, Vignesh R A , Parthasarathy S , Malvika K , Vimala S
Crop suggestion; Artificial Neural Network; Deep learning technique; prediction; water requirement.
In the modern world, the population keeps on increasing the amount of birth rate is increasing but the death rate is decreasing, due to this, there are highly dependent on food items which results in poverty. The solution for this is to increase the cultivation of crops. The process of cultivating the crop has many difficulties that had been faced by the farmers like what type of crop is suitable for cultivation for the current soil condition. What are the pest and diseases that have a chance to affect the crop? How much water is needed for the crop to grow? For this, we make a solution for the problem to make farmers easier to cultivate the crop. We are going to suggest a crop using deep learning techniques based on nutrient content in the soil like nitrogen, phosphorus, potassium, temperature, and humidity. This can be done by using an Artificial Neural Network (ANN) in deep learning. We are going to predict the pest and diseases that have a chance to affect the suggested crop. We also predict the amount of water that is needed for the crop that we suggested earlier. All these things are done by using deep learning techniques. Also, we suggest the pesticides that can be used if the predicted pest affects the crop. This will help the farmers to increase their crop yield
"SUGGESTING SUITABLE CROPS BASED ON NUTRIENTS USING DEEP LEARNING", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.143-148, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001022.pdf
Volume 11
Issue 2,
February-2024
Pages : 143-148
Paper Reg. ID: TIJER_151002
Published Paper Id: TIJERB001022
Downloads: 000290
Research Area: Science and Technology
Country: TIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
