Data Science Solutions for Emerging and Existing Agriculture Issues

Data Science Solutions for Emerging and Existing Agriculture Issues

Currently, the manoeuvre of Data science and the researches on its diverse usage in the agriculture sector is less; it is predicted that the opportunities will multiply soon.

Agriculture is the backbone of India. It is the major support to the Indian economy. The money flow starts from the farmer’s hand as that is where the essential food products make their entry. Almost 70% of the people live in rural basins with more than 50% of the whole Indian population taking agriculture as their main work.

India is the second-largest producer of fruits and vegetables in the world. Still, the sector suffers from a number of issues including ignorance and non-recognition. Climate change, unpredictable monsoon, drought, floods, migration of farmers towards cities for better jobs are some of the major distress that agriculture industry goes through.

Even the most acknowledged platform like media fail to cover field agriculture and go after agriculture ministers in the country to cover the issues which lack the farmers part. As institutions failed to provide loans and farmer welfare schemes, it is time for the Data science technologies to take over the far left behind the sector.

Agriculture is standing next in the line to IT, banking, manufacturing, finance, healthcare in Data Science making its entry. The platform features several applications in which the agriculture industry could further curtail its wings.

Some applications of data science in the agriculture sector

Finds soil type and features crop mapping

Every time a crop is reaped from the land, the soil structure changes. It is hard to find the crop that would next suit the soil type. Some people in the agriculture industry maintain acres of land which makes it difficult to penetrate the potential problems in the other corner of their land piece. Data science has a solution for all this.

The building of digital maps for soil types and properties could make things easier. Developed countries like Ireland use this technology to monitor the soil and land with the help of satellite. This aid in finding a solution quickly as it scans and gives an answer to what kind of crop could fit in the soil and reap most income.

Weather forecast to keep a check on crops health

A bad rain could soak the whole farm and earn zero penny while a no rain signal for too long could preferably yield the same. Therefore, weather plays a vital role in agriculture growth, development and yielding of crops. Even after it is reaped, the condition of which it is transported and stored plays critical. The quality of the crops depends adversely on the weather. That is why data experts have come up with a solution to use tools to identify the weather scenario.). The findings brought about remarkable changes by sifting through database and studies to conclude things like the weather in the agriculture process.

Major elements that feature the agriculture forecast are,

• Rainfall and snow

• Wind speed and direction

• Humidity level

• Amount and type of coverage of clouds in the sky

• Temperature

• Low-pressure areas, cyclones, tornadoes and depression

• Sudden catastrophic changes like fog, frost, hail, thunderstorm and wind squalls

A Canada based company named Farmers Edge takes daily satellite image of farms and combines it with relevant data which includes more than 4000 interconnected weather stations.

agriculture data science latest news

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

Applications Of Data Science On 3D Imagery Data

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

Data Science Course in Dallas

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...

32 Data Sets to Uplift your Skills in Data Science | Data Sets

Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.

Top 20 Latest Research Problems in Big Data and Data Science

Even though Big data is into main stream of operations as of 2020, there are still potential issues or challenges the researchers.