Abstract
In the domain of agriculture, there are issues such as variations in the soil profile, changes in the climatic conditions, and crops being spoiled by weeds. These issues are being addressed by technological advancements in the field of Artificial Intelligence (AI) and Satellite Imagery. In this era of Smart Agriculture, there are many ways in which technology acts as a blessing to farmers. It can be used to pick fruits or crops, detect weeds or diseases in crops through the use of satellite or drone images. With the use of current technology, we can optimize how fertilizers are applied to maintain the health of the crops. Additionally, satellite imagery can be very useful in getting real-time weather forecasts that can be helpful to farmers. There are also prescriptive ways of using AI to aid the farmers such as analyzing soil samples and recommending the kind of treatment that can be done to improve soil quality, the kind of crops that can be grown or should be grown is very helpful to farmers across the world. Crop growth can also be monitored through drones and contribute greatly to increasing the quality of the produce, thereby adding to the quality of life of a farmer. This chapter contains an in-depth analysis of the life cycle of farming and agriculture, its issues, and how AI can help address those issues by optimizing the way farming is done in this technology era.
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Goswami, B., Nayak, P. (2022). Optimization in Agricultural Growth Using AI and Satellite Imagery. In: Rautaray, S.S., Pandey, M., Nguyen, N.G. (eds) Data Science in Societal Applications. Studies in Big Data, vol 114. Springer, Singapore. https://doi.org/10.1007/978-981-19-5154-1_7
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