Agriculture is a direct encounter of humans with the natural environment. Here, the challenge is to reap the maximum possible harvest in the most efficient manner while keeping up with the environmental sustainability. In addressing this issue we propose to incorporate modern agent technology for controlling an agricultural environment. Since we need a controlled environment we decided to select hydroponics, the technology of growing plants on a nutrient solution that supply all nutrient elements needed for optimum plant growth, in a greenhouse environment. We have built an adaptable hydroponics system with high level of autonomy with the help of a multi agent system. In doing so, we have combined embedded computer technology with the state of the art artificial intelligence. The system has a higher capacity of autonomous decision making in a dynamic environment. Decisions about activities to be performed by the actuators (dosing system, water control system etc.) were generated as an emergent property of interacting autonomous software components. Each of these software components represent a particular environmental parameter (nutrient level, pH level, temperature etc.) that is subjected to change dynamically. Each of these autonomous software components contains limited logical capabilities for interacting with nearby components in case of a change of the interested parameter. Therefore the decision will be emerge as a result of the interactions among individual software components with limited rationality. The advantage of this approach is that it enables the hydroponics system to become proactive to the environmental changes rather than being just a reactive entity.