A Review of Transformative Technologies in Digital Agriculture: Integrating IoT, Remote Sensing, and AI for Smart Crop Management
Shrankhla Mishra *
RVSKVV, Gwalior, M.P, India.
Bhakti Kirankumar Chavan
Dr. D Y Patil College of ABM Akurdi, Pune, India.
Mohini M. Dange
Department of Agricultural Process Engineering, College of Agricultural Engineering and Technology, Dr.P.D.K.V., Akola, India.
Sarah Sharma
Department of Silviculture & Agroforestry, College of Horticulture and Forestry, Dr. YS Parmar University of Horticulture and Forestry Nauni, Solan, Himachal Pradesh, India.
Sweety Kumari
Department of Agroforestry, Banaras Hindu University, Varanasi, India.
Yogendra Kumar Shukla
Krishi Vigyan Kendra, RVSKVV, Khandwa, M.P, India.
Krishnaveni Anbalgan
HC & RI, TNAU, Paiyur, India.
Sivakumar C
KVK, Papparapatti, India.
Kavi Sumi
AICRP on Kharif Pulses, School of Agricultural Sciences, Nagaland University, Medziphema Campus, Nagaland, India.
Mugunthan. V
Natural Resources Institute (NRI), University of Greenwich, Medway Campus, Kent, United Kingdom.
*Author to whom correspondence should be addressed.
Abstract
This study reviews the potential of smart crop management through the use of technologies like digital agriculture, which takes into account the latest technological tools used in agriculture, including artificial intelligence (AI), remote sensing, and the Internet of Things (IoT), to increase crop production sustainability and efficiency. This is crucial given that different climates have an impact on the resources available for agriculture. Data-based decision-making to optimize irrigation, fertilization, and pest control can ultimately result from the integration of tools like the Internet of Things and sensor networks, which can give farmers access to real-time data on their crops and assess important health factors like soil conditions, plant water status, pest presence, and environmental factors, among others. Additionally, this can be improved by utilizing technologies like unmanned aerial vehicles (UAVs) and drones, which can improve monitoring capabilities by accurately tracking crop growth and conducting extensive field surveys. However, in order to find patterns and trends in large datasets and offer insightful information for bettering agricultural operations, big data analytics and artificial intelligence are essential. In addition to addressing issues and obstacles to the widespread adoption of both new and existing technologies, this paper highlights the major technological developments and applications in smart crop management. It also recommends the necessity of continued research and cooperation in order to achieve efficient and sustainable crop production.
Keywords: Digital agriculture, sensor networks, smart crop management, remote sensing, internet of things