Abstract: A method includes receiving a current data sample relating to a tractor spraying in an agricultural block, wherein the current data sample includes a current location; calculating a shortest distance from the current location to each of a plurality of borders of the agricultural block; selecting a current sample lowest distance, the current sample lowest distance being a lowest one of the shortest distances; grouping the current data sample with at least one prior data sample to produce a line of data samples, wherein each of the at least one prior data sample has a corresponding prior sample lowest distance; calculating an average lowest distance for the line of samples; comparing the average lowest distance to a threshold distance; and discarding the current data sample and each of the at least one prior data sample if the average distance is less than the threshold value.

Abstract: At least some embodiments are directed to a system that captures a set of images via cameras positioned in a lot having a crop. The system determines based on image processing and the set of images a phenological and biological stage of the crop, and a type of pest affecting the crop. The system generates a recommendation including a type of pesticide, a concentration of the type of pesticide, and an amount of pesticide and generates a pest control implementation plan. The system generates instructions for an autonomous carrier to execute the pest control implementation plan. The instructions include instructions for the autonomous carrier to execute the pest control implementation plan and instructions to control pesticide spraying nozzles mounted in the autonomous carrier. The system monitors a traveled distance of the autonomous carrier and determines that the pest control implementation plan has been executed.

Abstract: A method includes receiving a location sample; determining whether the location sample is sufficient quality; if the location sample is not sufficient quality, discarding the current location sample; if the location sample is sufficient quality, determining whether the location sample is within a same row as a prior location sample; if the location sample is not within the same row as the prior location sample, discarding the location sample; if the location sample is within the same row as the prior location sample, assigning the location sample to the same row and generating an updated block map; determining whether the updated block map includes a potential skipped row; and issuing an alert if the potential skipped row remains a potential skipped row for an amount of time greater than a first threshold.

Abstract: A method includes receiving input data regarding an agricultural block, wherein the input data includes a row span of the agricultural block, a tree span of the agricultural block, a block heading of the agricultural block, at least one image of the agricultural block, and at least one location sample obtained at a location in a row within the agricultural block; performing image recognition on the at least one image of the agricultural block to identify lines within the at least one image of the agricultural block; identifying at least one polygon within the agricultural block based on the lines within the at least one image of the agricultural block; and identifying map rows within each of the at least one polygon.

Abstract: A method includes receiving a current data sample relating to a tractor spraying in an agricultural block, wherein the current data sample includes a current location; calculating a shortest distance from the current location to each of a plurality of borders of the agricultural block; selecting a current sample lowest distance, the current sample lowest distance being a lowest one of the shortest distances; grouping the current data sample with at least one prior data sample to produce a line of data samples, wherein each of the at least one prior data sample has a corresponding prior sample lowest distance; calculating an average lowest distance for the line of samples; comparing the average lowest distance to a threshold distance; and discarding the current data sample and each of the at least one prior data sample if the average distance is less than the threshold value.

Abstract: At least some embodiments are directed to a system that captures a set of images via cameras positioned in a lot having a crop. The system determines based on image processing and the set of images a phenological and biological stage of the crop, and a type of pest affecting the crop. The system generates a recommendation including a type of pesticide, a concentration of the type of pesticide, and an amount of pesticide and generates a pest control implementation plan. The system generates instructions for an autonomous carrier to execute the pest control implementation plan. The instructions include instructions for the autonomous carrier to execute the pest control implementation plan and instructions to control pesticide spraying nozzles mounted in the autonomous carrier. The system monitors a traveled distance of the autonomous carrier and determines that the pest control implementation plan has been executed.

Abstract: A crops management system comprising: a system server storing at least one database comprising past and present data relating to at least one resource, crop and procedure; at least one mobile communication device running a user application adapted for different functionalities, the at least one mobile communication device is configured to communicate bi-directionally with the system server; at least one sensor communicating with the system server, the at least one sensor adapted to sense at least one parameter, the at least one sensor selected from the group consisting of fixed sensors and mobile sensors; and at least one external electronic data source communicating with the system server, the system configured to aggregate data received from the at least one data source relating to a plurality of crops and from the at least one mobile device, and produce at least one of reports, forecasts, work plans and performance control for at least one resource, relating to at least one crop.