Artificial Neural Networks in Agriculture

Price: $72.50
(as of Dec 27,2024 06:10:58 UTC – Details)

Publisher ‏ : ‎ Mdpi AG (November 11, 2021)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 284 pages
ISBN-10 ‏ : ‎ 3036515801
ISBN-13 ‏ : ‎ 978-3036515809
Item Weight ‏ : ‎ 1.79 pounds
Dimensions ‏ : ‎ 6.69 x 0.94 x 9.61 inches

Artificial Neural Networks in Agriculture

Artificial Neural Networks (ANNs) have been making waves in the field of agriculture, revolutionizing the way we approach farming practices and crop management. ANNs are computational models inspired by the human brain’s neural networks, capable of processing large amounts of data and identifying patterns to make predictions.

In agriculture, ANNs are being used for a variety of applications, such as predicting crop yields, optimizing irrigation schedules, detecting plant diseases, and monitoring soil conditions. By analyzing data from sensors, satellites, and drones, ANNs can provide valuable insights to farmers, helping them make informed decisions to improve crop productivity and sustainability.

One of the key advantages of ANNs in agriculture is their ability to adapt and learn from new data, making them ideal for dynamic and complex farming systems. They can also help reduce the reliance on chemical inputs by optimizing resource use and minimizing environmental impact.

Overall, the integration of ANNs in agriculture holds great promise for transforming the industry and ensuring food security for a growing global population. As we continue to advance in technology and data analytics, the potential for ANNs to revolutionize farming practices and drive innovation in agriculture is truly exciting.
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