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How AI is reforming the Indian agriculture sector

Artificial Intelligence (AI) is reforming the manner various people function and execute diverse functions and its gesture has ultimately struck several fields including the agriculture sector.

Even mobile app developers in India and several other countries have been utilizing AI to enhance their apps. The old days have gone when farmers had to depend on many tools and the labors working also had to do a lot of manual hard work to assure utmost and high-quality yield.

AI is helping farmers a lot from supervising the harvest and instantaneous anticipating of dissimilar factors for the best possible growth environment to forecasting the finest time, kind, etc. for high yield. Robots are also being used for picking and packing crops. This blog post includes the ways by which AI is reforming the Indian agriculture sector.

1. Monitoring Soil & Crops
AI and its subset Machine Learning (ML) have emerged as powerful technologies by which it becomes simpler to monitor crops and soil fertility. 3D laser scanning and hyperspectral imaging are two of the major techniques evolved using AI that guarantees the cropâs physical condition. These AI-mechanized technologies gather a sufficient amount of accurate crop data needed to examine the health of crops.

The data required for farming is now being taped robotically thereby eliminating any likelihood of discrepancies and flaws. The agricultural land must be geo-tagged so that is possible to perform remote sensing and transmit consultative alerts concerning the weather.

2. Predictive Analysis
AI, ML, and data mining are the dominating technologies that learn from the past data and recent actions, conducts, and trends coming in the agriculture segment. After data collection, these techniques evaluate it and forecast the future needs of farming and farmers. Precise information is provided about the best time to sow seeds, deciding products, and the success that is going to be attained form the decision, etc.

AI is helping farmers to make effective decisions and overcome unusual challenges. Various predictions such as pest pattern, soil test value, nutrient motion & behavior, marketplace advice, and crop yield predictions are enhancing the operations and overall productivity of the agro-companies.

3. Mechanized Irrigation Systems
Traditionally irrigation used to be done manually by peasants when they had to plow the soil and water it on their own, now AI has made it robotic. These methodologies provide a real-time study of the soil state and specify whether it is in the requirement of water and other elements or not. This enables farmers to work in optimal circumstances and retain them.

Modernized agriculture manufacturers are providing automatic irrigation systems to mechanize the irrigation process. A variety of such automatic irrigation systems are now available which sense the moisture level in the soil and drain accordingly thereby reducing the manual human work.

4. AI-Empowered Robots For Agricultural Use
AI-enabled robots are available now to handle diverse tasks required in farming. For instance, AI-empowered robots are used to control weeds by robotically accurately spraying anti-weed solution and prohibiting crops and trees from becoming defiant to herbicides. Such robots are enhancing agricultural productivity with minimum human interference in India and other countries like Israel, USA, etc.

About Author Paru Saxena :

Paru Saxena is the Sales head at TechIngenious, a leading company having top
mobile app developers in India. He is passionate about writing and has been writing for the last 5 years. He has vast experience in digital marketing and web application development.

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Article Added on Tuesday, December 3, 2019
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