What are the potential applications of artificial intelligence (AI) in agriculture, from optimizing crop yields to managing resources?
Firstly, Dry farming is a type of agriculture practice where the crops are grown without using any type of irrigation methods. Simply it is a technique for the non-irrigated cultivation of crops. In a vast country like India approximately 60% of the total cropped area falls under dry farming. The maRead more
Firstly, Dry farming is a type of agriculture practice where the crops are grown without using any type of irrigation methods. Simply it is a technique for the non-irrigated cultivation of crops. In a vast country like India approximately 60% of the total cropped area falls under dry farming.
The main regions of dry farming in India include-
a) Eastern Ghats
b) Rajasthan
c) Deccan Plateau
d) Gujrat
e) Madhya Pradesh
f) Uttar Pradesh
Problems face in this type of cultivation are as follows-
i) The primary challenge is unpredictable and variability of rainfall which leads to frequent crop failures.
ii) Nutrient value of the soil in regions of dry-farming are low which further effects the crop productivity.
iii) Dry conditions can exacerbate pests and other diseases further leading in reduction of crop yield.
iv) Framers in these regions often face poverty and lack of access to marketing opportunities.
Strategies which can be followed for development include-
i) Enhancing soil fertility, by using methods like organic farming, crop rotation etc.
ii) Adopting climatic-resilient agricultural practices such as zero-tillage, mulching, etc.
iii) Investing in research to develop new crop varieties, and farming practices suitable for this type of farming.
iv) Developing market linkages and infrastructure to ensure that the farmers get fair prices for their produce.
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Artificial Intelligence (AI) has the potential to revolutionize agriculture by optimizing crop yields, managing resources efficiently, and improving overall farm management. Here are some key applications of AI in agriculture: 1. Precision Farming Soil and Crop Monitoring: AI algorithms analyze dataRead more