Pest Management using Machine Learning Algorithms: A Review
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2018, Vol 8, Issue 1
Abstract
Agriculture is a unique business crop production, which is dependent on many climate and economy factors, the major occupation of Indians is farming where in about 70% of the population depends on agriculture. Farmers have wide range of diversity to select suitable Fruit and Vegetable crops. However, the cultivation of these crops for optimum yield and quality produce is highly technical. The crop production has reduced due to various factors like pest attack, diseases and climatic conditions. Crop protection is the science and practice of managing pests, plant diseases and other pest organisms that damage agricultural crops. Machine learning is a looming field of computer science which can be applied to the farming sector quite effectively. It can facilitate the up-gradation of conventional farming techniques in the most cost-friendly approach. This paper reviews on how different machine learning algorithms are useful in pest management of various crops.
Authors and Affiliations
R. P. L. DURGABAI, P. BHARGAVI, S. JYOTHI
Keywords
Related Articles
- EP ID EP278214
- DOI 10.24247/ijcseitrfeb20182
- Views 143
- Downloads 0
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