AGRICULTURE CROP SIMULATION MODELS USING COMPUTATIONAL INTELLIGENCE
Journal Title: International Journal of Computer Engineering & Technology (IJCET) - Year 2019, Vol 10, Issue 3
Abstract
Variation in the climatic conditions is the major hurdle in the Agriculture sector to attain high crop yield. The Crop simulation models portray the stage-wise growth of crop with the respective environment condition. The crop simulation models help the farmer to make better decisions for improving the crop yield. Artificial Intelligence, Data mining and Computational Intelligent are becoming more prominent in the agriculture field for decision making because of emerging technology such as GIS, Satellite data and remote sensing data in agriculture. This paper reviews information on crop simulation models using computational intelligence and their application. It also reviews the different types of crop simulation models and their limitation in Agriculture. It also discusses the different crop simulation models in details. Considering the emerging technology in the agriculture field we discussed the future trends of crop simulation models.
Authors and Affiliations
P. K. KOSAMKAR, V. Y. KULKARNI
RESOLVING PRIVACY CONFLICT FOR MAINTAINING PRIVACY POLICIES IN ONLINE SOCIAL NETWORKS
In recent years, the use of online social networks (OSNs) such as Facebook, Twitter etc has tremendous increased. Users see these OSNs as a useful tool to find friends and interact with them. Moreover, OSNs allow their...
APP FOR PLACING ORDERS AND BARGAINING WITH AI AT A RESTAURANT
The proposed system attempts to implement various new technologies to an app for enabling users to place orders and bargain the prices with a machine learning powered bot. Such a system can provide new experience to th...
COMPARATIVE ANALYSIS OF FACE RECOGNITION BASED ON SIGNIFICANT PRINCIPAL COMPONENTS OF PCA TECHNIQUE
Face recognition systems have been emerging as acceptable approaches for human authorization. Face recognition help in searching and classifying a face database and at a higher level help in identification of possible...
IMAGE RESTORATION BY IMPROVED ITERATIVE SHRINKAGE THRESHOLDING ALGORITHM
The problem of restoration of digital images plays a central role in multitude important applications. A particularly challenging instance of this problem occurs in the case when the degradation phenomenon is modelled...
FORESTALLING GROWTH RATE IN TYPE II DIABETIC PATIENTS USING DATA MINING AND ARTIFICIAL NEURAL NETWORKS: AN INTENSE SURVEY
The race for urbanization and thirst for high living status leads to unhealthy life. As the result a rapid growth in number of diabetic patients in urban areas approaching to its deadline. In this situation it become a...