Fruit cracking is a significant physiological disorder affecting various fruit crops and vegetables, impacting quality and marketability. This review explores the environmental and agronomic factors influencing fruit cracking. Environmental factors such as temperature, humidity, and light exposure play a crucial role in fruit cracking susceptibility. Mineral nutrition and plant growth regulators are also important, with calcium deficiency being a major contributor. Recent advancements in precision farming and monitoring systems allow for better management of environmental factors and optimization of fruit production. By monitoring parameters like temperature, humidity, soil moisture, and fruit skin temperature, growers can make informed decisions to prevent or reduce fruit cracking. Agronomic factors, including mineral nutrition and post-harvest management, also significantly influence fruit cracking. Machine learning and precision agriculture offer promising tools for predicting and managing environmental factors and vulnerabilities in agronomic practices. Effective prevention of fruit cracking requires a comprehensive approach that integrates both environmental and agronomic factors. The review highlights the importance of understanding the mechanisms behind fruit cracking, such as the critical turgor and zipper models, and the role of the plant cuticle in protecting against water and pathogen entry. The study emphasizes the need for proper nutrient management and the use of plant growth regulators to mitigate cracking risks. Overall, the integration of precision farming and machine learning technologies is essential for improving fruit quality and minimizing losses due to cracking.Fruit cracking is a significant physiological disorder affecting various fruit crops and vegetables, impacting quality and marketability. This review explores the environmental and agronomic factors influencing fruit cracking. Environmental factors such as temperature, humidity, and light exposure play a crucial role in fruit cracking susceptibility. Mineral nutrition and plant growth regulators are also important, with calcium deficiency being a major contributor. Recent advancements in precision farming and monitoring systems allow for better management of environmental factors and optimization of fruit production. By monitoring parameters like temperature, humidity, soil moisture, and fruit skin temperature, growers can make informed decisions to prevent or reduce fruit cracking. Agronomic factors, including mineral nutrition and post-harvest management, also significantly influence fruit cracking. Machine learning and precision agriculture offer promising tools for predicting and managing environmental factors and vulnerabilities in agronomic practices. Effective prevention of fruit cracking requires a comprehensive approach that integrates both environmental and agronomic factors. The review highlights the importance of understanding the mechanisms behind fruit cracking, such as the critical turgor and zipper models, and the role of the plant cuticle in protecting against water and pathogen entry. The study emphasizes the need for proper nutrient management and the use of plant growth regulators to mitigate cracking risks. Overall, the integration of precision farming and machine learning technologies is essential for improving fruit quality and minimizing losses due to cracking.