3 AI use cases in Agri Tech

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Introduction

1.

3. A couple of examples:

1) Ploughing a small sugarcane farm with plough,

2) Rice and wheat residue stacking post cutting,

3) Pesticide spraying in farms which are small in nature, farms having zigzag boundaries, semi-arid part inside a farm, farms with trees having a crop and pesticide not permitted, etc.

Farmers want the company to take care of the exact mapping of farm boundaries and cost-effective. A farmer will provide the company typical land boundaries of farmland in Indian context, challenges they are facing while using drowns e.g. 1) farm will give today in the middle of the form, 2) farm will have a semi-arid land in the middle of the farm, 3) Bunch of trees at the edges of farm for which spraying of a pesticide is strictly prohibited, etc. Also, farmers wanted optimum utilization of the pesticide quantity and cost-effective than the humans spray the pesticides. Ensure the pesticide sprayed using drowns is as effective as it is sprayed manually. The objective of this use case is to develop artificial intelligence/machine learning algorithms to take care of all farmers concerns are addressed.

 

3. Role of Robots in Agriculture

The biggest challenge of today’s agriculture is the human labor and areas which can’t be automated or least scope for automation. A few examples:

1) Ploughing a small sugarcane farm with plough,

2) Rice and wheat residue stacking post cutting,

3) Pesticide spraying in farms which are small in nature, farms having zigzag boundaries, semi-arid portion inside a farm, farms with trees having a crop and pesticide not allowed, etc. The aim of the current use case is to develop bunch of Artificial, machine and deep learning algorithms with highest smartness and can control a Robot for doing above tasks with accuracy of 95% or above.

The successful implementation of above task would take care 99% of small and medium farmer’s day-to-day activities in India. This would lead to our rulers’ slogans of doubling or tripling the income of farmers by 2020. As a result most of the young generations would choose farming as profession. Hence, country’s food production will go up. The FMCG sector’s export percentage will increase and import percentage will decrease. The GDP rate of the country will be in the growth path. The employment dependency on outsourcing will reduce and India as a country will become self-sufficient in generating employment for upcoming generations.

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