Published on: April 2026
HARVESTIFY UNIFIED SMART AGRICULTURE SYSTEM
K Vaishnavi K Naresh L Deepak V Vivek
K Sukeerthi
Department of CSE (Data Science), ACE Engineering College, Hyderabad, Telangana, India
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Abstract
These days, farmers have to make decisions all the time about what to plant, when to act, and how to protect their crops. The Smart Farming Assistant was developed to address this problem.
This solution is essentially an AI-powered platform that brings together various farming insights under one roof. To find the optimum crops for a given field at a given time, it considers key soil parameters such as temperature, moisture, pH balance, nutrient levels (nitrogen, phosphorus, and potassium), and local rainfall patterns.
How to Cite this Paper
Vaishnavi, K., Naresh, K., Deepak, L. & Vivek, V. (2026). Harvestify Unified Smart Agriculture System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.037
Vaishnavi, K, et al.. "Harvestify Unified Smart Agriculture System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.037.
Vaishnavi, K,K Naresh,L Deepak, and V Vivek. "Harvestify Unified Smart Agriculture System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.037.
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References
- Below are the key references that supported the methodology, techniques, and tools used in the project
- Devendra Dahiphale, Pratik Shinde, Koninika Patil( 2023) Smart Farming
- Journal:TechRxiv
- DOI:https://doi.org/10.36227/techrxiv.23504496.v1
- 2.Konstantinos P. Ferentinos(2018) Deep learning models for plant disease detection and diagnosis
- Journal:Elsevier
- DOI:https://doi.org/10.1016/j.compag.2018.01.0093. Farida Siddiqi Prity, MD. Mehadi Hasan,
- Shakhawat Hossain Saif(2024) A Machine Learning approach to Crop Recommendations
- Journal:Springer Nature
- DOI: https://doi.org/10.1007/s44230-024-00081-3
- D. Devarajan, Randa Allafi, Marwa Obayya & Nadhem(2026) AI based real time disease diagnosis in plants using deep learning driven CNNs
- Journal: Scientific Reports
- DOI: https://doi.org/10.1038/s41598-025-34681-1
- Keerthi Kethineni, Sri Harsha Mekala, Moneesh Kodali, Vishnu Vardhan Kota
- (2024) A Web-Based Agriculture Recommendation System using Deep Learning for Crops, Fertilizers, and Pesticides
- Journal:IEEEXploreDOI: 10.1109/ICCIGST60741.2024.10717535
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- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 03 2026
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