Agricultural drones, are the electro -mechanical devices that are used in farming, may assist increase crop yield, and monitor its growth, among other things. These drones may be used to spray fertilizers or insecticides across a field in a consis tent manner. Aerial mapping will also provide farmers with a bird's eye perspective of their fields, allowing them to swiftly spot pests, soil contamination, and growing conditions and to take corrective actions in the form of the engagement of fertilizers and pesticides. UAVs are becoming more common to meet the rising demands of agriculture for the increasing population. Drones will assist to a straightforward, efficient, and reliable production with the correct cameras, sensor, and equipment. If the offe red solutions for these drones are linked into various machine learning and internet ideas, they can help enhance things even more. The work in this area is highlighted in this paper, as well as recommended solutions that may be integrated into drones utilizing the Microcontroller 8051 module's output. iii Table of Contents https://doi.org/10.31224/3854 Abstract: ................................ ................................ ............... 2 CHAPTER 1: INTRODUCTION ................................ ................................ .............................. 4 1.1 Overview: ................................ ................................ ................................ ..................... 4 1.3 Research Questions: ................................ ................................ ................................ .. 4 1.4 Objectives: ................................ ................................ ................................ .................. 4 1.5 Significance of Study: ................................ ................................ ................................ . 4 1.6 Limitations: ................................ ................................ ................................ ................. 5 CHAPTER 2: LITERATURE REVIEW ................................ ................................ .................... 6 2.1 History of Drone Development: ................................ ................................ .................. 6 2.2 Importance of Drones: ................................ ................................ ................................ 7 2.3 Drones in Agriculture Industry: ................................ ................................ .................. 8 2.4 Agricultural Applications of Drone: ................................ ................................ ........... 9 2.4.1 Crop Assessment: ................................ ................................ ................................ 9 2.4.2 Nutrient Monitoring: ................................ ................................ ............................. 9 2.4.3 Recording the Live Stock Count: ................................ ................................ ....... 10 2.4.4 Disease Monitoring: ................................ ................................ ............................ 11 2.4.5 Crop Spraying: ................................ ................................ ................................ .... 11 2.4.6 Ariel Irrigation: ................................ ................................ ................................ .... 11 CHAPTER 3: Hardware and Software ................................ ................................ ................ 19 Results and Discussion: ................................ ................................ ................................ ......... 33 CHAPTER 4: CONCLUSION AND RECOMMENDATIONS ................................ ................ 36 4.1 Conclusion: ................................ ................................ ................................ ............... 36 4.2 Recommendation: ................................ ................................ ................................ ..... 37