The unwanted and excessive use of pesticides and fertilizers creates health
hazards and makes the soil unproductive. Only a small portion of the crop catches
disease, but the farmers spray the pesticides evenly over the entire field, resulting in
wastage and overuse of pesticides. They are not aware of the exact composition of the
soil. Certain nutrients, pH levels, moisture, and fertility support a certain kind of crop.
All of these problems have been observed in the nearby villages of District Sonepat
(Haryana), such as in the villages of Bhigan and Murthal. Robots with sensors to match
the levels of pH, temperature, humidity, and soil moisture to the levels required for
growing crops are used in the present research to identify the best crop for a given soil.
The sensors are connected to Raspberry Pi to send the data to ThingSpeak, which
compares the sensed data with the standard data and gives the user the required
information. A drone hovering over the field clicks the pictures of the field to be used
by the intelligent image processing system for disease detection. The productivity can
be increased without adversely affecting the soil. This will reduce the use of chemical
fertilizers by 30% to 75% and create economic and environmentally sustainable crop
production. The equipment manufacturing companies are potential buyers for the
patent of the proposed technology. Marketing of this technology may be done in
partnership with fertilizer suppliers.
Keywords: Drone, Disease, Fertilizers, Farming, Humidity, Pesticides, Productivity, Temperature, Robot.
