Category: Machine learning and deep learning in agriculture

Principle component analysis converts correlated variables into uncorrelated variables using orthogonal transformation in a statistical procedure. Principle component analysis is used to study the interrelation between a set of variables. This algorithm is used to consider a large dataset of interconnected variables and chooses the set which best suits a model. This type of concentration…

Clustering is dividing data into groups such that every group has similar data. It is basically a collection of data on the basis of similarities and dissimilarities between them. Clustering is important since it regulates the essential grouping among the unlabelled data. Where there is no measure for good clustering, it depends on in what…

Artificial neural network (ANN) is formed using a large number of elements known as neurons, where each neuron takes simple decisions and passes those decisions to other neurons. All the neurons are interconnected to each other, where the interconnection between these neurons is known as network function. A shallow neural network has three layers: input…

As the machine learning is growing day by day, many authors are using various algorithms of machine learning to solve complex problems. Machine learning is the current research field in which a lot of research is being conducted. Figure 1.6 Some of them are briefly explained.

In reinforcement learning the agent has the ability to interact with the environment and find a better output. For this, it follows hit and trail formulae. This learning is used when there is no proper way to perform a task, but model needs to follow some strict rules to perform its duty. In this type…

In this type of machine learning there is no need to supervise the model, instead the work is initiated on its own information, where it mainly deals with unlabelled data. Unsupervised learning algorithm gives better output while performing the complex tasks compared with supervised learning. It is more unpredictable and also it helps to find the…

As the name specifies, supervised learning means that the presence of supervisor is required to perform the task. Generally, the machine is trained by using the collected data which is well labelled and is known as labelled data, so that supervised learning algorithm can analyse the training data and give correct outcome using labelled data. The…

Machine learning is a multidisciplinary field which is a combination of computer science and statistics, where it is mostly used for analysis and classification and performs the tasks that generally humans do. For that, we need to train the computer to solve real life problems with utmost accuracy. Machine learning can be used in different…

Agriculture is the backbone of our economy, as the requirement of foodstuff due to rise in population is constantly increasing. There is a huge requirement of advancements in the agriculture sector such as to make precise calculations regarding yield production, using best and latest farming equipment, in order to meet the increasing needs of crop.…