India is the second-largest producer of fruits and vegetables in the world and agriculture is the main backbone of India but still, the sector suffers from many issues including ignorance and non-recognition. Climate change, unpredictable monsoon, natural calamities causing the migration of farmers towards cities for a better job are some of the major issues. As the institution is failing to provide loans and farmer welfare schemes data science technology is taking over the sector. Agriculture is standing after IT, banking, manufacturing, finance, healthcare in data science technology.
Application of data science in the agriculture sector:
Soil type and crop mapping:
Data science provides a solution to this by the building of digital maps for soil types and properties could make things easier. Developed countries like Ireland uses this technology to monitor the soil and land by using the satellite. This helps in finding a solution quickly by scanning it and giving answers to what kind of crops could fit into the soil and reap most income, since every time a crop is reaped from the land and the soil structure changes.
Weather forecast for analyzing crop health:
Data experts have come up with a solution to this by using tools to identify the weather scenario, and the quality of the crops depends on the weather. Major elements that determine the agriculture forecast are rainfall and snow, wind speed, humidity level, temperature, low-pressure areas, and natural calamities. A Canada based company named farmers edge takes daily satellite images of farms and connect it with data that is connected with more than 4000 interconnected weather station.
Fertilizer suggestion:
With the emerging technology, data science experts provide advice to the farmers on what kind of fertilizers are suits their land and crops. Since fertilizer is an important part and most of the farmers end up using the wrong fertilizer for their crops which leads to spoiled or unhealthy products out of it.
Pesticide suggestion and detect crop disease:
Data science informs the farmers how to manage the pest since pests and diseases are the main threat to the crop. Analytics are providing algorithm, which helps to identify the pattern and behavior of nature that helps to forecast the invasion of pest and the spread of crop diseases. The image captured through drones helps the data science experts to kill the bad pest leaving the good pest to enrich the soil.
Automated irrigation system :
The technology solution provides by the data science for the automated irrigation system is the function based on small scale farms and weather prediction. DATOS is a risk application functions on computing technology and also applies in the field of geographic (GIS), remote sensing (RS), artificial intelligence, and data science. The DATOS project is developed using satellite images to extract the temporal signature of crops and helps detect flood detection by AI help.
Technology advancement has gone on a vast scale for the agriculture sector and it is predicted that the opportunities will multiply soon. Hence it is no wonder if a desert grows useful food crops in the future.
