CU- Plant Disease Detector
Our country is one of the largest producers of fruits, vegetables and cereals. The production of these crops is mainly driven by the increase in the population and low-cost labor. CU is a plant disease detector that automatically detects and predicts the presence of disease in plants.
Leaf plays an important role in crops because it provides information about the quantity and quality of agricultural products.
The leaf has a large number of receptors that are sensitive to light, water and other chemicals. The main function of the leaf is to protect plants from harmful substances such as UV light, heat, drought and other factors that can harm them.
Some of the farmers in India can increase their agricultural production by using technology to help them grow more crops. Farmers need to know about their systems, so that they can make smart decisions about what crops should be grown, when and how much water should be used and where it should be used. These decisions are based on knowledge gathered from sensors that are installed on the farm or in the system itself.
Factors affecting the crop production
- Accordingly, the costs and availability of inputs are likely to decline, thus reducing the profitability of agriculture.
- We must work towards more sustainable food production in terms of both climate change mitigation as well as productivity enhancement.
- The world is facing a variety of challenges and these can be attributed to climate change, soil fertility, sickness, and so on.
- Crop disease can cause crop losses due to farmers' negligence and poor farming practices. It is important that the government acts immediately on this issue.
This is a very simple and effective Android app which can be used to identify and detect the illness for increasing agricultural production; it has been designed to help farmers in their daily routine. This app is very helpful for the farmers as it helps them in identifying the symptoms of diseases.
Hence we can say that this app can be helpful in identifying the 39 kinds of diseases of different plants.