Crop prediction based on characteristics of the agricultural environment using various feature selection techniques and classifiers
Agriculture is a growing field of research. In particular, crop prediction in agriculture is critical
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …
and is chiefly contingent upon soil and environment conditions, including rainfall, humidity …
Modern-age Agriculture with Artificial Intelligence: A review emphasizing Crop Yield Prediction
P Sharma, P Dadheech - 2023 - catalog.lib.kyushu-u.ac.jp
Agriculture is a key employment in several countries throughout the globe. AI is increasingly
becoming a part of agriculture industry as traditional methods are insufficient to supply the …
becoming a part of agriculture industry as traditional methods are insufficient to supply the …
Explainable machine learning for data extraction across computational social system
HK Bhuyan, C Chakraborty - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This article addresses the explainable machine learning for data extraction on diverse
datasets. In many cases, individual or specific approaches have been developed for feature …
datasets. In many cases, individual or specific approaches have been developed for feature …
AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns
Agriculture is the foremost factor which is important for the survival of human beings.
Farming contributes to a very big part of GDP; still, several areas exist where improvements …
Farming contributes to a very big part of GDP; still, several areas exist where improvements …
Crop prediction system based on soil and weather characteristics
India is mostly a farming country. Agriculture is vital to the Indian economy and humanity's
destiny. Agriculture also employs a sizable portion of the workforce. 70% of India's rural …
destiny. Agriculture also employs a sizable portion of the workforce. 70% of India's rural …
The Most Effective Strategy for Incorporating Feature Selection into Credit Risk Assessment
This paper aims to identify the most effective strategy for incorporating feature selection (FS)
into credit risk classification, employing three classifiers: Logistic regression (Logreg) …
into credit risk classification, employing three classifiers: Logistic regression (Logreg) …
Comparative analysis of machine learning techniques for predicting production capability of crop yield
K Jain, N Choudhary - … Journal of System Assurance Engineering and …, 2022 - Springer
Recently, the applicability of information technology for quality productivity in agriculture has
been increasing progressively. As a result of these, there has been a significant increase in …
been increasing progressively. As a result of these, there has been a significant increase in …
Crop Yield Prediction based on Feature Selection and Machine Learners: A Review
India is mostly an agricultural nation. In terms of both the Indian economy and the future of
mankind, agriculture is a key topic to focus on. In addition, agriculture accounts for a …
mankind, agriculture is a key topic to focus on. In addition, agriculture accounts for a …
[PDF][PDF] Increasing crop quality and yield with a machine learning-based crop monitoring system
Farming is cultivating the soil, producing crops, and keeping livestock. The agricultural
sector plays a crucial role in a country's economic growth. This research proposes a two …
sector plays a crucial role in a country's economic growth. This research proposes a two …
Ensemble machine learning approach for agricultural crop selection
The importance of agricultural earnings and employment in most countries has decreased
with time. That is also true for Bangladesh. Farmers usually design the cultivation process …
with time. That is also true for Bangladesh. Farmers usually design the cultivation process …