Data-Driven Analysis and Machine Learning-Based Crop and Fertilizer Recommendation System for Revolutionizing Farming Practices

Abstract

Agriculture plays a key role in global food security. Agriculture is critical to global food security and economic development. Precision farming using machine learning (ML) and the Internet of Things (IoT) is a promising approach to increasing crop productivity and optimizing resource use. This paper presents an integrated crop and fertilizer recommendation system aimed at optimizing agricultural practices in Rwanda. The system is built on two predictive models: a machine learning model for crop recommendations and a rule-based fertilization recommendation model. The crop recommendation system is based on a neural network model trained on a dataset of major Rwandan crops and their key growth parameters such as nitrogen, phosphorus, potassium levels, and soil pH. The fertilizer recommendation system uses a rule-based approach to provide personalized fertilizer recommendations based on pre-compiled tables. The proposed prediction model achieves 97% accuracy. The study makes a significant contribution to the field of precision agriculture by providing decision support tools that combine artificial intelligence and domain knowledge.

A review of potassium significance and management approaches in potato production under sandy soils

“…Within the realm of AI, ML stands as a pivotal subdiscipline, providing robust techniques for the interpretation of voluminous data sets and the execution of complex predictions that would be impractical with traditional analytical methods (Coulibali et al, 2020). Crafting a high‐performing ML model for predicting agricultural outputs presents unique challenges, notably the selection of algorithms adept at managing extensive data (Coulibali et al, 2020; Musanase et al, 2023). Since this article reviews the multiple ML models used in various studies, it is important to have a general idea of these models.…”

Pengaruh Penerapan Metode Pertanian Organik dan Penggunaan Pupuk Hayati pada Kualitas Hasil Panen dan Keuntungan Bisnis Petani Buah-Buahan di Jawa Timur

“…Para pembuat kebijakan dan penyuluh pertanian dapat mempertimbangkan untuk mempromosikan penggunaan pupuk hayati sebagai strategi yang layak untuk meningkatkan ketahanan finansial petani buah. Temuan ini menunjukkan bahwa penggunaan pupuk hayati yang bijaksana secara positif mempengaruhi kualitas tanaman buah, yang dapat berimplikasi pada daya jual dan kepuasan konsumen (Yokamo, Milinga, & Suefo, 2023), (Musanase, Vodacek, Hanyurwimfura, Uwitonze, & Kabandana, 2023).…”

Analysis of Weather Prediction, Resource Management, and Land Optimization on the Application of Big Data Analytics in Agricultural Land Utilization in Agrarian Areas of West Java

“…Furthermore, the development of control algorithms suitable for agriculture can improve efficiency. For example, a mechanistic open model of lettuce growth has been proposed, which demonstrates increased crop uniformity and yield without increasing nitrogen use [16]. These studies highlight the importance of implementing land optimization techniques to enhance agricultural productivity and sustainability.…”