This project aims to increase agricultural productivity and provide farmers with accurate and timely agricultural data to enable effective decision support. Through the use of digital leaf and soil sensors, the water, nutrient and pesticide needs of plants are more accurately determined, thus increasing yields and ensuring efficient use of resources.

Problem Area of the Project

In agriculture, soil and plant health are crucial for plants to grow under suitable conditions and yield efficiently. However, accessing accurate and timely data about soil and plant conditions and analyzing this data can be challenging for farmers. Therefore, an effective control and management system is required for the water, nutrient, and pest control needs of plants.

Social, Economic, and Environmental Impact of the Problem

Social Impact: Through the use of digital leaf and soil sensors, agricultural enterprises can engage in more efficient and informed plant care. This can contribute to increasing farmers' production and improving their income.

Economic Impact: The use of digital leaf and soil sensors can lead to efficient usage of resources such as water, nutrients, and pesticides, reducing costs and increasing productivity.

Environmental Impact: Controlled plant nutrition and pest control through digital sensors can reduce the environmental impact of agricultural chemicals and promote a more eco-friendly agriculture.

Solution Strategy

The solution aims to accurately determine the needs of plants and create a decision support system through the use of digital leaf and soil sensors. This enables controlled plant nutrition and pest control.

Unique Aspects of the Solution Strategy

Technology Integration: The project aims to collect and analyze real-time and accurate agricultural data using digital leaf and soil sensors, enabling effective decision-making.

Focus on Plant Health and Productivity: The project aims to enhance plant health and productivity. Digital sensors enable the accurate determination of plant needs, resulting in fruiting under more suitable conditions without experiencing stress.

Project's Differentiators and Objectives

Objective: The main objective of the project is to increase agricultural productivity using digital leaf and soil sensors and providing farmers with an effective decision support mechanism.

Differentiator: The project offers efficient agricultural practices through the use of digital sensors and decision support systems, as opposed to traditional methods.

Project Activities and Promotion

Within the project, farmers will receive training on how to use digital sensors and how the decision support system operates. Additionally, project promotion will be carried out through agricultural fairs, seminars, and events with agricultural communities.

Sustainability Goals

The project contributes to the sustainability of agriculture through proper resource utilization and effective plant care. It also supports the widespread adoption of eco-friendly agricultural practices.

Project's SDG Impact

Zero Hunger, Food Security, and Improved Nutrition

The project contributes to food security through efficient agricultural practices.

Sustainable Consumption and Production

The project supports sustainable production by promoting proper resource usage and eco-friendly agricultural practices.

Project's Business Model

The project's business model is based on providing farmers with data analysis services using digital leaf and soil sensors. Initially, investments can be made in the procurement of digital sensors and the setup of the decision support system. Subsequently, farmers can be offered data analysis services through subscription or a specific fee. In the long run, increased agricultural productivity and demand for data analysis from farmers can make the business model sustainable.