@Article{M-10245,
AUTHOR = {Borate, Harshal and Sapkal, shital and Taware, Priya and Rangole, Jyoti},
TITLE = {AI Based Crop Yield Prediction: A Review},
JOURNAL = {Scientific Research Journal of Agriculture and Veterinary Science},
VOLUME = {3},
YEAR = {2025},
NUMBER = {1},
ARTICLE-NUMBER = {M-10245},
URL = {https://isrdo.org/journal/SRJAV/currentissue/ai-based-crop-yield-prediction-a-review},
ISSN = {2584-1416},
ABSTRACT = {The current stage of technological advancement is being widely applied
to development internationally. The Artificial Intelligence (AI) application to
intelligent farming, which generates crops in agriculture, is one of the
technological advancements. India's economy depends largely on agriculture
because humans are the source of all of its resources. The primary impediment
to food security is population expansion, which raises food demand. To raise
the supply, farmers must yield more on the same quantity of land. Technology
can help farmers enhance their productivity by anticipating crop yields. This
study's primary purpose is to forecast agricultural yield by using the factors
of precipitation, crop, weather, region, yield, moreover production things provided
a big danger},
DOI = {}
}