Pattern Implementation in the Agriculture Domain

Traditionally, farmers spent most of their time observing plant and/or soil conditions and guesstimating the weather conditions before acting – for example, performing irrigation and applying fertilizers. The application of tools and techniques for smart agriculture helps remove this burden from farmers’ shoulders, as decision-making can be performed by analytics engines.

Smart agriculture helps to reduce environmental impact through efficient irrigation and the optimal usage of fertilizer/pesticides. It helps to increase yield by obtaining accurate information about the soil and environmental conditions and then providing information regarding the optimum quantity of input (fertilizers, pesticides, water, etc.) and conditions. The problem with traditional farming is that farmers follow the same procedures regarding sowing, nourishing, irrigation, and harvesting without considering differences that exist in different...